Podcast appearances and mentions of sasha luccioni

KI und Nachhaltigkeit – zwei Seiten einer Medaille oder doch ein perfektes Match? In dieser Folge spricht Patrick Heinen mit Steffen Müller von Salesforce darüber, wie Künstliche Intelligenz Unternehmen dabei hilft, nachhaltiger zu wirtschaften. Sie diskutieren, warum Nachhaltigkeit immer mehr zum Erfolgsfaktor für Unternehmen wird, welche Rolle KI bei der Datenerhebung und Entscheidungsfindung spielt und warum es nicht nur um Tools, sondern auch um Menschen und Prozesse geht.Außerdem erfährst du, welche Technologien bereits heute eingesetzt werden und was in Zukunft noch alles möglich ist.Boris Gamazaychikov:https://www.linkedin.com/in/bgamazay/Dr. Sasha Luccioni:https://www.linkedin.com/in/sashaluccioniphd/Prof. Dr. Maja Göpelhttps://www.linkedin.com/in/maja-g%C3%B6pel-817ba3299/?originalSubdomain=deProf. Johan Rockströmhttps://www.linkedin.com/in/johan-rockstr%C3%B6m-325551331/Was du in dieser Folge lernst:Warum KI ein Treiber für Nachhaltigkeit sein kannWie Unternehmen KI für nachhaltige Entscheidungen nutzenWelche Daten und Prozesse für Nachhaltigkeitsstrategien entscheidend sindKapitel00:00 - 00:56 Intro00:56 - 03:38 KI-Lebenslauf03:38 - 08:16 Welche Rolle spielen Unternehmen in Sachen Nachhaltigkeit?08:16 - 15:31 Nachhaltigkeit im Business – Chancen & Herausforderungen15:31 - 26:22 KI & Nachhaltigkeit – zwei Seiten einer Medaille26:22 - 36:02 Was ist der AI Energy Score und wie funktioniert er? 36:02 - 40:04 Wie beeinflussen Agents die Nachhaltigkeit?40:04 - 42:20 Die richtige Sustainability-Lösung finden42:20 - 46:53 Warum hat mir das KIner gesagt?46:53 - 48:26 Das A und O für nachhaltige Unternehmen48:26 - 49:47 Top 3 Maßnahmen für schnellere Fortschritte49:47 - 53:07 KI & Nachhaltigkeit – Was bringt die Zukunft?53:07 - 55:10 Nachhaltigkeit heute – Was hat sich schon getan?55:10 - 57:22 Der Folgetipp der Folge57:22 - 58:43 OutroHier könnt ihr euch den Podcast in voller Länge ansehen:https://www.youtube.com/watch?v=XFztrLww0ToMehr zu Salesforce:Website: https://www.salesforce.com/de/LinkedIn: https://www.linkedin.com/company/salesforce/

Here's a question; how much water do you think a single query of ChatGPT consumes? What about Carbon Emissions? How many round trip flights between New York and San Francisco equal the Co2 emitted by training one Large Language Model? And maybe this is the most important one - how would you even figure those numbers out when the big AI companies don't make them public? Concerns about AI's impact on Climate Change aren't new, but as extreme weather events like the floods in North Carolina and the wild fires in L.A. become more and more frequent, a lot of us are wondering just how much blame we should lay at AI's doorstep. How can we make sure that we take our planet into account while continuing to develop this technology? To help us understand the real cost of all our ChatGPT queries and Dall-E diversions, we're talking to two women who are both fighting for more transparency around these very questions. Dr. Sasha Luccioni, the Climate Lead at AI company Hugging Face, has chosen to fight for more sustainable AI from within an AI company. On the other hand, Yoca Arditi-Rocha, executive director at the CLEO Institute is deeply skeptical that businesses will choose to put the planet above profit on their own accord.  Can an Insider approach lead to climate-safe AI? Or is it up to activists and outsiders to make sure that all those AI prompts we thought were saving us so much time don't end up meaning our planet's time is up that much sooner. For more check out Dr. Luccioni... On Bluesky - @sashamtl.bsky.social On X - @SashaMTL On LinkedIn - /sashaluccioniphd And for more from Yoca and the CLEO Institute find them... On X - @Yoca1000 | @CLEOInstitute On Instagram - @cleoinstitute On Facebook - /CLEOInstitute On LinkedIn - /yocamille | /the-cleo-institute On the Web - cleoinstitute.org --- At AnitaB.org, our mission is to enable and equip women technologists with the tools, resources, and knowledge they need to thrive. Through innovative programs and initiatives, we empower women to chart new paths, better prepared to lead, advance, and achieve equitable compensation. Because when women succeed, they uplift their communities and redefine success on their terms, both professionally and personally.​ --- Connect with AnitaB.org Instagram - @anitab_org Facebook - /anitab.0rg LinkedIn - /anitab-org On the web - anitab.org  --- Our guests contribute to this podcast in their personal capacity. The views expressed in this interview are their own and do not necessarily represent the views of Anita Borg Institute for Women and Technology or its employees (“AnitaB.org”). AnitaB.org is not responsible for and does not verify the accuracy of the information provided in the podcast series. The primary purpose of this podcast is to educate and inform. This podcast series does not constitute legal or other professional advice or services. --- B The Way Forward Is… Hosted and Executive Produced by Brenda Darden Wilkerson. Produced by Avi Glijansky Associate Produced by Kelli Kyle Sound design and editing by Ryan Hammond  Mixing and mastering by Julian Kwasneski  Additional Producing help from Faith Krogulecki Operations Coordination for AnitaB.org by Quinton Sprull. Creative Director for AnitaB.org is Deandra Coleman Executive Produced by Dominique Ferrari, Stacey Book, and Avi Glijansky for Frequency Machine  Podcast Marketing from Lauren Passell with Tink Media in partnership with Coley Bouschet at AnitaB.org Photo of Brenda Darden Wilkerson by Mandisa Media Productions For more ways to be the way forward, visit AnitaB.org

Impact environnemental de l'IA : Enjeux écologiques et responsabilités éthiquesSasha Luccioni est chercheuse en intelligence artificielle responsable. Elle est AI Climate Lead chez Hugging Face et membre active de Climate Change AI. Classée parmi les 100 personnes les plus influentes en IA par Time, elle travaille sur des projets visant à mesurer et réduire l'empreinte environnementale des modèles d'IA, tout en explorant leur potentiel pour lutter contre le changement climatique.⚡ Dans cet épisode, nous explorons les impacts environnementaux de l'IA. Entre enjeux éthiques, écologiques et sociétaux, nous étudions les risques, mais aussi les opportunités qu'offre l'IA pour une transition durable. Quelle est la véritable empreinte carbone des modèles d'IA ? Comment réduire l'impact écologique des infrastructures numériques ? Quelles régulations et solutions concrètes adopter pour une IA écoresponsable ?

In this special episode recorded at the Élysée Palace in Paris, host Tammy Haddad speaks with two female forces at the forefront of AI and sustainability. Thaima Samman, president of the European Network for Women in Leadership and a partner at SAMMAN Law and Corporate Affairs, offers an inside look at Europe's bold attempt to regulate AI while still stoking innovation—and shows why empowering women in tech is non-negotiable for true progress. Dr. Sasha Luccioni, AI and climate lead at Hugging Face and a Time100 AI honoree, discusses the environmental challenges linked to AI, along with strategies for developing and deploying AI solutions to spur climate action and encourage long-term sustainability. The conversation is a preview of February's AI Action Summit, which will bring together business leaders, policymakers, researchers, and experts to explore the future of AI—focusing especially on how to incorporate inclusivity, ethics, and sustainability into its development.

Computer scientist Sasha Luccioni is a pioneering voice in AI, especially when it comes to its environmental impact. We speak to her as she is announced on the BBC 100 Women list. We also meet one of the only AI startups in Bhutan, and the two friends who met online and have finally met in real life – after 13 years of knowing each other.Presenter: Zoe Kleinman Producer: Imran Rahman-Jones Editor: Monica Soriano(Image: A black and white portrait photo of Sasha Luccioni smiling at the camera. In the background are orange computer-generated geometric shapes. Credit: Steve Gerrard.)

Paris Marx is joined by Sasha Luccioni to discuss the catastrophic environmental costs of the generative AI being increasing shoved into every tech product we touch. Sasha Luccioni is an artificial intelligence researcher and Climate Lead at Hugging Face.Tech Won't Save Us offers a critical perspective on tech, its worldview, and wider society with the goal of inspiring people to demand better tech and a better world. Support the show on Patreon.The podcast is made in partnership with The Nation. Production is by Eric Wickham. Transcripts are by Brigitte Pawliw-Fry.Also mentioned in this episode:Sasha published a paper looking at the climate impacts of generative AI.Paris wrote about the increased emissions at Google and Microsoft, and the consequences of the growing data center buildout.Google's emissions are up 48% in five years, while Microsoft's are up 30% between 2020 and 2023.Bill Gates is telling governments not to “go overboard” with concerns about AI energy use. He's been much more active in Microsoft's AI strategizing than he's admitted publicly.Microsoft President Brad Smith says its carbon “moonshot” is much farther away because of generative AI. The company is accelerating its data center construction plans.Sam Altman says we can geoengineer the planet if we can't develop an energy breakthrough to power AI.Support the Show.

On this episode of Tech Won't Save Us, Paris Marx is joined by Sasha Luccioni to discuss the impacts of AI on climate change.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Today, we're joined by Sasha Luccioni, AI and Climate lead at Hugging Face, to discuss the environmental impact of AI models. We dig into her recent research into the relative energy consumption of general purpose pre-trained models vs. task-specific, non-generative models for common AI tasks. We discuss the implications of the significant difference in efficiency and power consumption between the two types of models. Finally, we explore the complexities of energy efficiency and performance benchmarking, and talk through Sasha's recent initiative, Energy Star Ratings for AI Models, a rating system designed to help AI users select and deploy models based on their energy efficiency. The complete show notes for this episode can be found at twimlai.com/go/687.

### Meta's AI Chief Says Current AI Models Won't Match Human Intelligence- Yann LeCun, Meta's head of AI, believes current AI models like ChatGPT are not yet on the path to human-level intelligence.- These models excel at generating text but lack human-like reasoning and planning capabilities.- They are overly dependent on training data, limiting their understanding of logic and the physical world.- LeCun suggests a new approach is needed for AI to truly emulate human cognitive processes.### Emotional Robots: Hinton's Insight and Criticism- Geoffrey Hinton recalls a 1973 robot showing "emotion" by reacting to a pile of toy car pieces.- Hinton equates feelings to actions constrained by the situation, likening the robot's actions to human emotions.- Critics, including Dr. Neel Burton and Dr. Sasha Luccioni, argue emotions and feelings are far more complex.- The debate highlights differing perspectives on AI and the anthropomorphism of machines.### Head Transplant: BrainBridge's Revolutionary System- BrainBridge introduces the world's first head transplant system using AI, robotic arms, and lasers.- The system aims to help patients with terminal illnesses and severe disabilities by performing complex surgeries without human involvement.- Major challenges include reattaching spinal cord and nerve connections.- Led by Hashem Al-Ghaili in Dubai, the project hopes to begin operations in eight years and attract top biomedical talent.- The concept raises ethical and technical questions, reminiscent of science fiction.### Sony Music Warns Tech Companies Over AI Use of Artists' Work- **Context**: Sony Music Entertainment is protecting its music from unauthorized AI usage.- **Recipients**: Over 700 AI developers and streaming services, including OpenAI, Microsoft, and Google.- **Prohibitions**: AI developers are forbidden from using Sony's music for training, development, or commercialization.- **Legal Position**: Sony seeks to establish a clear legal stance and ensure fair compensation for using its music.- **Demands**: AI developers must disclose all content used, highlighting the need for adherence to copyright laws.Get intouch with Myles at mylesdhillon@gmail.com

AI, EVs, and satellites are tackling the climate crisis. But they have environmental downsides. This hour, TED speakers explain how to use these tools without making global warming worse. Guests include AI researchers Sasha Luccioni and Sims Witherspoon, climate researcher Elsa Dominish and astrodynamicist Moriba Jah. TED Radio Hour+ subscribers now get access to bonus episodes, with more ideas from TED speakers and a behind the scenes look with our producers. A Plus subscription also lets you listen to regular episodes (like this one!) without sponsors. Sign-up at plus.npr.org/ted.Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

In episode 120 of The Gradient Podcast, Daniel Bashir speaks to Sasha Luccioni.Sasha is the AI and Climate Lead at HuggingFace, where she spearheads research, consulting, and capacity-building to elevate the sustainability of AI systems. A founding member of Climate Change AI (CCAI) and a board member of Women in Machine Learning (WiML), Sasha is passionate about catalyzing impactful change, organizing events and serving as a mentor to under-represented minorities within the AI community.Have suggestions for future podcast guests (or other feedback)? Let us know here or reach Daniel at editor@thegradient.pubSubscribe to The Gradient Podcast:  Apple Podcasts  | Spotify | Pocket Casts | RSSFollow The Gradient on TwitterOutline:* (00:00) Intro* (00:43) Sasha's background* (01:52) How Sasha became interested in sociotechnical work* (03:08) Larger models and theory of change for AI/climate work* (07:18) Quantifying emissions for ML systems* (09:40) Aggregate inference vs training costs* (10:22) Hardware and data center locations* (15:10) More efficient hardware vs. bigger models — Jevons paradox* (17:55) Uninformative experiments, takeaways for individual scientists, knowledge sharing, failure reports* (27:10) Power Hungry Processing: systematic comparisons of ongoing inference costs* (28:22) General vs. task-specific models* (31:20) Architectures and efficiency* (33:45) Sequence-to-sequence architectures vs. decoder-only* (36:35) Hardware efficiency/utilization* (37:52) Estimating the carbon footprint of Bloom and lifecycle assessment* (40:50) Stable Bias* (46:45) Understanding model biases and representations* (52:07) Future work* (53:45) Metaethical perspectives on benchmarking for AI ethics* (54:30) “Moral benchmarks”* (56:50) Reflecting on “ethicality” of systems* (59:00) Transparency and ethics* (1:00:05) Advice for picking research directions* (1:02:58) OutroLinks:* Sasha's homepage and Twitter* Papers read/discussed* Climate Change / Carbon Emissions of AI Models* Quantifying the Carbon Emissions of Machine Learning* Power Hungry Processing: Watts Driving the Cost of AI Deployment?* Tackling Climate Change with Machine Learning* CodeCarbon* Responsible AI* Stable Bias: Analyzing Societal Representations in Diffusion Models* Metaethical Perspectives on ‘Benchmarking' AI Ethics* Measuring Data* Mind your Language (Model): Fact-Checking LLMs and their Role in NLP Research and Practice Get full access to The Gradient at thegradientpub.substack.com/subscribe

"The way I got into this field was working on the environmentally beneficial applications of AI, and I do believe that that's an impactful way of using AI techniques because there's so much data about the climate, satellite data, and sensor data, and the way to go about this is to work with domain experts. AI is never going to solve the problem on its own, but it can be a tool. So I think that there's a lot of promise there."What are the pros and cons of AI's integration into our institutions, political systems, culture, and society? How can we develop AI systems that are more respectful, ethical, and sustainable?Dr. Sasha Luccioni is a leading scientist at the nexus of artificial intelligence, ethics, and sustainability, with a Ph.D. in AI and a decade of research and industry expertise. She spearheads research, consults, and utilizes capacity-building to elevate the sustainability of AI systems. As a founding member of Climate Change AI (CCAI) and a board member of Women in Machine Learning (WiML), Sasha is passionate about catalyzing impactful change, organizing events, and serving as a mentor to under-represented minorities within the AI community. She is an AI Researcher & Climate Lead at Hugging Face, an open-source hub for machine learning and natural language processing.https://www.sashaluccioni.comhttps://huggingface.co/http://www.climatechange.aihttps://wimlworkshop.org

What are the pros and cons of AI's integration into our institutions, political systems, culture, and society? How can we develop AI systems that are more respectful, ethical, and sustainable?Dr. Sasha Luccioni is a leading scientist at the nexus of artificial intelligence, ethics, and sustainability, with a Ph.D. in AI and a decade of research and industry expertise. She spearheads research, consults, and utilizes capacity-building to elevate the sustainability of AI systems. As a founding member of Climate Change AI (CCAI) and a board member of Women in Machine Learning (WiML), Sasha is passionate about catalyzing impactful change, organizing events, and serving as a mentor to under-represented minorities within the AI community. She is an AI Researcher & Climate Lead at Hugging Face, an open-source hub for machine learning and natural language processing."The way I got into this field was working on the environmentally beneficial applications of AI, and I do believe that that's an impactful way of using AI techniques because there's so much data about the climate, satellite data, and sensor data, and the way to go about this is to work with domain experts. AI is never going to solve the problem on its own, but it can be a tool. So I think that there's a lot of promise there."https://www.sashaluccioni.comhttps://huggingface.co/http://www.climatechange.aihttps://wimlworkshop.org

What are the pros and cons of AI's integration into our institutions, political systems, culture, and society? How can we develop AI systems that are more respectful, ethical, and sustainable?Dr. Sasha Luccioni is a leading scientist at the nexus of artificial intelligence, ethics, and sustainability, with a Ph.D. in AI and a decade of research and industry expertise. She spearheads research, consults, and utilizes capacity-building to elevate the sustainability of AI systems. As a founding member of Climate Change AI (CCAI) and a board member of Women in Machine Learning (WiML), Sasha is passionate about catalyzing impactful change, organizing events, and serving as a mentor to under-represented minorities within the AI community. She is an AI Researcher & Climate Lead at Hugging Face, an open-source hub for machine learning and natural language processing."The way I got into this field was working on the environmentally beneficial applications of AI, and I do believe that that's an impactful way of using AI techniques because there's so much data about the climate, satellite data, and sensor data, and the way to go about this is to work with domain experts. AI is never going to solve the problem on its own, but it can be a tool. So I think that there's a lot of promise there."https://www.sashaluccioni.comhttps://huggingface.co/http://www.climatechange.aihttps://wimlworkshop.org

"The way I got into this field was working on the environmentally beneficial applications of AI, and I do believe that that's an impactful way of using AI techniques because there's so much data about the climate, satellite data, and sensor data, and the way to go about this is to work with domain experts. AI is never going to solve the problem on its own, but it can be a tool. So I think that there's a lot of promise there."What are the pros and cons of AI's integration into our institutions, political systems, culture, and society? How can we develop AI systems that are more respectful, ethical, and sustainable?Dr. Sasha Luccioni is a leading scientist at the nexus of artificial intelligence, ethics, and sustainability, with a Ph.D. in AI and a decade of research and industry expertise. She spearheads research, consults, and utilizes capacity-building to elevate the sustainability of AI systems. As a founding member of Climate Change AI (CCAI) and a board member of Women in Machine Learning (WiML), Sasha is passionate about catalyzing impactful change, organizing events, and serving as a mentor to under-represented minorities within the AI community. She is an AI Researcher & Climate Lead at Hugging Face, an open-source hub for machine learning and natural language processing.https://www.sashaluccioni.comhttps://huggingface.co/http://www.climatechange.aihttps://wimlworkshop.org

“When people say, oh, yeah, AI is going to help everyone or change humanity or all these claims, they don't realize people don't have access to the Internet in some places or cell phones or the fact that the data used by AI models is not representative of many parts of the world. It's mostly in English, and the data generated on the Internet and AI is mostly by educated, white, male users who post on forums. So there are whole generations and whole regions of the world that are not represented in this data. And so I think that all these claims of the universality of AI or how it's going to help everyone are techno-optimistic. I think it's really important to stay, once again, skeptical of AI, but also learn about it and see it not as some magical thing, but more as a technology. A technology that works but also doesn't work. A technology that comes with costs and benefits.”What are the pros and cons of AI's integration into our institutions, political systems, culture, and society? How can we develop AI systems that are more respectful, ethical, and sustainable?Dr. Sasha Luccioni is a leading scientist at the nexus of artificial intelligence, ethics, and sustainability, with a Ph.D. in AI and a decade of research and industry expertise. She spearheads research, consults, and utilizes capacity-building to elevate the sustainability of AI systems. As a founding member of Climate Change AI (CCAI) and a board member of Women in Machine Learning (WiML), Sasha is passionate about catalyzing impactful change, organizing events, and serving as a mentor to under-represented minorities within the AI community. She is an AI Researcher & Climate Lead at Hugging Face, an open-source hub for machine learning and natural language processing.https://www.sashaluccioni.comhttps://huggingface.co/http://www.climatechange.aihttps://wimlworkshop.org

What are the pros and cons of AI's integration into our institutions, political systems, culture, and society? How can we develop AI systems that are more respectful, ethical, and sustainable?Dr. Sasha Luccioni is a leading scientist at the nexus of artificial intelligence, ethics, and sustainability, with a Ph.D. in AI and a decade of research and industry expertise. She spearheads research, consults, and utilizes capacity-building to elevate the sustainability of AI systems. As a founding member of Climate Change AI (CCAI) and a board member of Women in Machine Learning (WiML), Sasha is passionate about catalyzing impactful change, organizing events, and serving as a mentor to under-represented minorities within the AI community. She is an AI Researcher & Climate Lead at Hugging Face, an open-source hub for machine learning and natural language processing.“When people say, oh, yeah, AI is going to help everyone or change humanity or all these claims, they don't realize people don't have access to the Internet in some places or cell phones or the fact that the data used by AI models is not representative of many parts of the world. It's mostly in English, and the data generated on the Internet and AI is mostly by educated, white, male users who post on forums. So there are whole generations and whole regions of the world that are not represented in this data. And so I think that all these claims of the universality of AI or how it's going to help everyone are techno-optimistic. I think it's really important to stay, once again, skeptical of AI, but also learn about it and see it not as some magical thing, but more as a technology. A technology that works but also doesn't work. A technology that comes with costs and benefits.”https://www.sashaluccioni.comhttps://huggingface.co/http://www.climatechange.aihttps://wimlworkshop.org

“When people say, oh, yeah, AI is going to help everyone or change humanity or all these claims, they don't realize people don't have access to the Internet in some places or cell phones or the fact that the data used by AI models is not representative of many parts of the world. It's mostly in English, and the data generated on the Internet and AI is mostly by educated, white, male users who post on forums. So there are whole generations and whole regions of the world that are not represented in this data. And so I think that all these claims of the universality of AI or how it's going to help everyone are techno-optimistic. I think it's really important to stay, once again, skeptical of AI, but also learn about it and see it not as some magical thing, but more as a technology. A technology that works but also doesn't work. A technology that comes with costs and benefits.”What are the pros and cons of AI's integration into our institutions, political systems, culture, and society? How can we develop AI systems that are more respectful, ethical, and sustainable?Dr. Sasha Luccioni is a leading scientist at the nexus of artificial intelligence, ethics, and sustainability, with a Ph.D. in AI and a decade of research and industry expertise. She spearheads research, consults, and utilizes capacity-building to elevate the sustainability of AI systems. As a founding member of Climate Change AI (CCAI) and a board member of Women in Machine Learning (WiML), Sasha is passionate about catalyzing impactful change, organizing events, and serving as a mentor to under-represented minorities within the AI community. She is an AI Researcher & Climate Lead at Hugging Face, an open-source hub for machine learning and natural language processing.https://www.sashaluccioni.comhttps://huggingface.co/http://www.climatechange.aihttps://wimlworkshop.org

What are the pros and cons of AI's integration into our institutions, political systems, culture, and society? How can we develop AI systems that are more respectful, ethical, and sustainable?Dr. Sasha Luccioni is a leading scientist at the nexus of artificial intelligence, ethics, and sustainability, with a Ph.D. in AI and a decade of research and industry expertise. She spearheads research, consults, and utilizes capacity-building to elevate the sustainability of AI systems. As a founding member of Climate Change AI (CCAI) and a board member of Women in Machine Learning (WiML), Sasha is passionate about catalyzing impactful change, organizing events, and serving as a mentor to under-represented minorities within the AI community. She is an AI Researcher & Climate Lead at Hugging Face, an open-source hub for machine learning and natural language processing.“When people say, oh, yeah, AI is going to help everyone or change humanity or all these claims, they don't realize people don't have access to the Internet in some places or cell phones or the fact that the data used by AI models is not representative of many parts of the world. It's mostly in English, and the data generated on the Internet and AI is mostly by educated, white, male users who post on forums. So there are whole generations and whole regions of the world that are not represented in this data. And so I think that all these claims of the universality of AI or how it's going to help everyone are techno-optimistic. I think it's really important to stay, once again, skeptical of AI, but also learn about it and see it not as some magical thing, but more as a technology. A technology that works but also doesn't work. A technology that comes with costs and benefits.”https://www.sashaluccioni.comhttps://huggingface.co/http://www.climatechange.aihttps://wimlworkshop.org

“I think it's kind of important to think about the fact that originally, neural networks were inspired by neurons, really by our brains, but fundamentally, brains are really different than AI models, currently. Brains are quite efficient. For example, we won't be using all of our neurons all the time. If we're recognizing a face, or if we're speaking, or if we're drawing, or if we're watching a movie, or reading a book, there are different zones. And I think that that's kind of the core of the issue because whereas we can kind of use a portion of our brain, depending on the activity, neural networks don't have that built-in efficiency.”What are the pros and cons of AI's integration into our institutions, political systems, culture, and society? How can we develop AI systems that are more respectful, ethical, and sustainable?Dr. Sasha Luccioni is a leading scientist at the nexus of artificial intelligence, ethics, and sustainability, with a Ph.D. in AI and a decade of research and industry expertise. She spearheads research, consults, and utilizes capacity-building to elevate the sustainability of AI systems. As a founding member of Climate Change AI (CCAI) and a board member of Women in Machine Learning (WiML), Sasha is passionate about catalyzing impactful change, organizing events, and serving as a mentor to under-represented minorities within the AI community. She is an AI Researcher & Climate Lead at Hugging Face, an open-source hub for machine learning and natural language processing.https://www.sashaluccioni.comhttps://huggingface.co/http://www.climatechange.aihttps://wimlworkshop.org

"The way I got into this field was working on the environmentally beneficial applications of AI, and I do believe that that's an impactful way of using AI techniques because there's so much data about the climate, satellite data, and sensor data, and the way to go about this is to work with domain experts. AI is never going to solve the problem on its own, but it can be a tool. So I think that there's a lot of promise there."What are the pros and cons of AI's integration into our institutions, political systems, culture, and society? How can we develop AI systems that are more respectful, ethical, and sustainable?Dr. Sasha Luccioni is a leading scientist at the nexus of artificial intelligence, ethics, and sustainability, with a Ph.D. in AI and a decade of research and industry expertise. She spearheads research, consults, and utilizes capacity-building to elevate the sustainability of AI systems. As a founding member of Climate Change AI (CCAI) and a board member of Women in Machine Learning (WiML), Sasha is passionate about catalyzing impactful change, organizing events, and serving as a mentor to under-represented minorities within the AI community. She is an AI Researcher & Climate Lead at Hugging Face, an open-source hub for machine learning and natural language processing.https://www.sashaluccioni.comhttps://huggingface.co/http://www.climatechange.aihttps://wimlworkshop.org

"My TED Talk and work are really about figuring out how, right now, AI is using resources like energy and emitting greenhouse gases and how it's using our data without our consent. I feel that if we develop AI systems that are more respectful, ethical, and sustainable, we can help future generations so that AI will be less of a risk to society. And so really, artificial intelligence is not artificial. It's human intelligence that was memorized by the model that was kind of hoovered up, absorbed by these AI models. And now it's getting regurgitated back at us. And we're like, wow, ChatGPT is so smart! But how many thousands of human hours were needed in order to make ChatGPT so smart?The US Executive Order on AI still does need a lot of operationalization by different parts of the government. Especially, with the EU and their AI Act, we have this signal that's top down, but now people have to figure out how we legislate, enforce, measure, and evaluate? So, there are a lot of problems that haven't been solved because we don't have standards or legal precedent for AI. So I think that we're really in this kind of intermediate phase and scrambling to try to figure out how to put this into action.”What are the pros and cons of AI's integration into our institutions, political systems, culture, and society? How can we develop AI systems that are more respectful, ethical, and sustainable?Dr. Sasha Luccioni is a leading scientist at the nexus of artificial intelligence, ethics, and sustainability, with a Ph.D. in AI and a decade of research and industry expertise. She spearheads research, consults, and utilizes capacity-building to elevate the sustainability of AI systems. As a founding member of Climate Change AI (CCAI) and a board member of Women in Machine Learning (WiML), Sasha is passionate about catalyzing impactful change, organizing events, and serving as a mentor to under-represented minorities within the AI community. She is an AI Researcher & Climate Lead at Hugging Face, an open-source hub for machine learning and natural language processing.https://www.sashaluccioni.comhttps://huggingface.co/http://www.climatechange.aihttps://wimlworkshop.org

What are the pros and cons of AI's integration into our institutions, political systems, culture, and society? How can we develop AI systems that are more respectful, ethical, and sustainable?Dr. Sasha Luccioni is a leading scientist at the nexus of artificial intelligence, ethics, and sustainability, with a Ph.D. in AI and a decade of research and industry expertise. She spearheads research, consults, and utilizes capacity-building to elevate the sustainability of AI systems. As a founding member of Climate Change AI (CCAI) and a board member of Women in Machine Learning (WiML), Sasha is passionate about catalyzing impactful change, organizing events, and serving as a mentor to under-represented minorities within the AI community. She is an AI Researcher & Climate Lead at Hugging Face, an open-source hub for machine learning and natural language processing."My TED Talk and work are really about figuring out how, right now, AI is using resources like energy and emitting greenhouse gases and how it's using our data without our consent. I feel that if we develop AI systems that are more respectful, ethical, and sustainable, we can help future generations so that AI will be less of a risk to society. And so really, artificial intelligence is not artificial. It's human intelligence that was memorized by the model that was kind of hoovered up, absorbed by these AI models. And now it's getting regurgitated back at us. And we're like, wow, ChatGPT is so smart! But how many thousands of human hours were needed in order to make ChatGPT so smart?The US Executive Order on AI still does need a lot of operationalization by different parts of the government. Especially, with the EU and their AI Act, we have this signal that's top down, but now people have to figure out how we legislate, enforce, measure, and evaluate? So, there are a lot of problems that haven't been solved because we don't have standards or legal precedent for AI. So I think that we're really in this kind of intermediate phase and scrambling to try to figure out how to put this into action.”https://www.sashaluccioni.comhttps://huggingface.co/http://www.climatechange.aihttps://wimlworkshop.org

What are the pros and cons of AI's integration into our institutions, political systems, culture, and society? How can we develop AI systems that are more respectful, ethical, and sustainable?Dr. Sasha Luccioni is a leading scientist at the nexus of artificial intelligence, ethics, and sustainability, with a Ph.D. in AI and a decade of research and industry expertise. She spearheads research, consults, and utilizes capacity-building to elevate the sustainability of AI systems. As a founding member of Climate Change AI (CCAI) and a board member of Women in Machine Learning (WiML), Sasha is passionate about catalyzing impactful change, organizing events, and serving as a mentor to under-represented minorities within the AI community. She is an AI Researcher & Climate Lead at Hugging Face, an open-source hub for machine learning and natural language processing."My TED Talk and work are really about figuring out how, right now, AI is using resources like energy and emitting greenhouse gases and how it's using our data without our consent. I feel that if we develop AI systems that are more respectful, ethical, and sustainable, we can help future generations so that AI will be less of a risk to society. And so really, artificial intelligence is not artificial. It's human intelligence that was memorized by the model that was kind of hoovered up, absorbed by these AI models. And now it's getting regurgitated back at us. And we're like, wow, ChatGPT is so smart! But how many thousands of human hours were needed in order to make ChatGPT so smart?The US Executive Order on AI still does need a lot of operationalization by different parts of the government. Especially, with the EU and their AI Act, we have this signal that's top down, but now people have to figure out how we legislate, enforce, measure, and evaluate? So, there are a lot of problems that haven't been solved because we don't have standards or legal precedent for AI. So I think that we're really in this kind of intermediate phase and scrambling to try to figure out how to put this into action.”https://www.sashaluccioni.comhttps://huggingface.co/http://www.climatechange.aihttps://wimlworkshop.org

"My TED Talk and work are really about figuring out how, right now, AI is using resources like energy and emitting greenhouse gases and how it's using our data without our consent. I feel that if we develop AI systems that are more respectful, ethical, and sustainable, we can help future generations so that AI will be less of a risk to society. And so really, artificial intelligence is not artificial. It's human intelligence that was memorized by the model that was kind of hoovered up, absorbed by these AI models. And now it's getting regurgitated back at us. And we're like, wow, ChatGPT is so smart! But how many thousands of human hours were needed in order to make ChatGPT so smart?The US Executive Order on AI still does need a lot of operationalization by different parts of the government. Especially, with the EU and their AI Act, we have this signal that's top down, but now people have to figure out how we legislate, enforce, measure, and evaluate? So, there are a lot of problems that haven't been solved because we don't have standards or legal precedent for AI. So I think that we're really in this kind of intermediate phase and scrambling to try to figure out how to put this into action.”What are the pros and cons of AI's integration into our institutions, political systems, culture, and society? How can we develop AI systems that are more respectful, ethical, and sustainable?Dr. Sasha Luccioni is a leading scientist at the nexus of artificial intelligence, ethics, and sustainability, with a Ph.D. in AI and a decade of research and industry expertise. She spearheads research, consults, and utilizes capacity-building to elevate the sustainability of AI systems. As a founding member of Climate Change AI (CCAI) and a board member of Women in Machine Learning (WiML), Sasha is passionate about catalyzing impactful change, organizing events, and serving as a mentor to under-represented minorities within the AI community. She is an AI Researcher & Climate Lead at Hugging Face, an open-source hub for machine learning and natural language processing.https://www.sashaluccioni.comhttps://huggingface.co/http://www.climatechange.aihttps://wimlworkshop.org

What are the pros and cons of AI's integration into our institutions, political systems, culture, and society? How can we develop AI systems that are more respectful, ethical, and sustainable?Dr. Sasha Luccioni is a leading scientist at the nexus of artificial intelligence, ethics, and sustainability, with a Ph.D. in AI and a decade of research and industry expertise. She spearheads research, consults, and utilizes capacity-building to elevate the sustainability of AI systems. As a founding member of Climate Change AI (CCAI) and a board member of Women in Machine Learning (WiML), Sasha is passionate about catalyzing impactful change, organizing events, and serving as a mentor to under-represented minorities within the AI community. She is an AI Researcher & Climate Lead at Hugging Face, an open-source hub for machine learning and natural language processing."My TED Talk and work are really about figuring out how, right now, AI is using resources like energy and emitting greenhouse gases and how it's using our data without our consent. I feel that if we develop AI systems that are more respectful, ethical, and sustainable, we can help future generations so that AI will be less of a risk to society. And so really, artificial intelligence is not artificial. It's human intelligence that was memorized by the model that was kind of hoovered up, absorbed by these AI models. And now it's getting regurgitated back at us. And we're like, wow, ChatGPT is so smart! But how many thousands of human hours were needed in order to make ChatGPT so smart?The US Executive Order on AI still does need a lot of operationalization by different parts of the government. Especially, with the EU and their AI Act, we have this signal that's top down, but now people have to figure out how we legislate, enforce, measure, and evaluate? So, there are a lot of problems that haven't been solved because we don't have standards or legal precedent for AI. So I think that we're really in this kind of intermediate phase and scrambling to try to figure out how to put this into action.”https://www.sashaluccioni.comhttps://huggingface.co/http://www.climatechange.aihttps://wimlworkshop.org

What are the pros and cons of AI's integration into our institutions, political systems, culture, and society? How can we develop AI systems that are more respectful, ethical, and sustainable?Dr. Sasha Luccioni is a leading scientist at the nexus of artificial intelligence, ethics, and sustainability, with a Ph.D. in AI and a decade of research and industry expertise. She spearheads research, consults, and utilizes capacity-building to elevate the sustainability of AI systems. As a founding member of Climate Change AI (CCAI) and a board member of Women in Machine Learning (WiML), Sasha is passionate about catalyzing impactful change, organizing events, and serving as a mentor to under-represented minorities within the AI community. She is an AI Researcher & Climate Lead at Hugging Face, an open-source hub for machine learning and natural language processing.“I think it's kind of important to think about the fact that originally, neural networks were inspired by neurons, really by our brains, but fundamentally, brains are really different than AI models, currently. Brains are quite efficient. For example, we won't be using all of our neurons all the time. If we're recognizing a face, or if we're speaking, or if we're drawing, or if we're watching a movie, or reading a book, there are different zones. And I think that that's kind of the core of the issue because whereas we can kind of use a portion of our brain, depending on the activity, neural networks don't have that built-in efficiency.”https://www.sashaluccioni.comhttps://huggingface.co/http://www.climatechange.aihttps://wimlworkshop.org

"My TED Talk and work are really about figuring out how, right now, AI is using resources like energy and emitting greenhouse gases and how it's using our data without our consent. I feel that if we develop AI systems that are more respectful, ethical, and sustainable, we can help future generations so that AI will be less of a risk to society. And so really, artificial intelligence is not artificial. It's human intelligence that was memorized by the model that was kind of hoovered up, absorbed by these AI models. And now it's getting regurgitated back at us. And we're like, wow, ChatGPT is so smart! But how many thousands of human hours were needed in order to make ChatGPT so smart?The US Executive Order on AI still does need a lot of operationalization by different parts of the government. Especially, with the EU and their AI Act, we have this signal that's top down, but now people have to figure out how we legislate, enforce, measure, and evaluate? So, there are a lot of problems that haven't been solved because we don't have standards or legal precedent for AI. So I think that we're really in this kind of intermediate phase and scrambling to try to figure out how to put this into action.”What are the pros and cons of AI's integration into our institutions, political systems, culture, and society? How can we develop AI systems that are more respectful, ethical, and sustainable?Dr. Sasha Luccioni is a leading scientist at the nexus of artificial intelligence, ethics, and sustainability, with a Ph.D. in AI and a decade of research and industry expertise. She spearheads research, consults, and utilizes capacity-building to elevate the sustainability of AI systems. As a founding member of Climate Change AI (CCAI) and a board member of Women in Machine Learning (WiML), Sasha is passionate about catalyzing impactful change, organizing events, and serving as a mentor to under-represented minorities within the AI community. She is an AI Researcher & Climate Lead at Hugging Face, an open-source hub for machine learning and natural language processing.https://www.sashaluccioni.comhttps://huggingface.co/http://www.climatechange.aihttps://wimlworkshop.org

In this conversation, Azeem Azhar speaks with climate lead at Hugging Face, Sasha Luccioni, to shed light on the environmental footprint of AI, the pressing issues in AI deployment, and the potential paths to a more ethical and sustainable AI future.

AI won't kill us all — but that doesn't make it trustworthy. Instead of getting distracted by future existential risks, AI ethics researcher Sasha Luccioni thinks we need to focus on the technology's current negative impacts, like emitting carbon, infringing copyrights and spreading biased information. She offers practical solutions to regulate our AI-filled future — so it's inclusive and transparent.

Drs. Emma Strubell and Sasha Luccioni join Emily and Alex for an environment-focused hour of AI hype. How much carbon does a single use of ChatGPT emit? What about the water or energy consumption of manufacturing the graphics processing units that train various large language models? Why even catastrophic estimates from well-meaning researchers may not tell the full story.This episode was recorded on November 6, 2023.References:"The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink" "The Carbon Emissions of Writing and Illustrating Are Lower for AI than for Humans" The growing energy footprint of artificial intelligence- New York Times coverage: "AI Could Soon Need as Much Electricity as an Entire Country""Energy and Policy Considerations for Deep Learning in NLP." "The 'invisible' materiality of information technology." "Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning" "AI is dangerous, but not for the reasons you think." Fresh AI Hell:Not the software to blame for deadly Tesla autopilot crash, but the company selling the software.4chan Uses Bing to Flood the Internet With Racist ImagesFollowup from Vice: Generative AI Is a Disaster, and Companies Don't Seem to Really CareIs this evidence for LLMs having an internal "world model"?“Approaching a universal Turing machine”Americans Are Asking AI: ‘Should I Get Back With My Ex?'You can check out future livestreams at https://twitch.tv/DAIR_Institute. Follow us!Emily Twitter: https://twitter.com/EmilyMBender Mastodon: https://dair-community.social/@EmilyMBender Bluesky: https://bsky.app/profile/emilymbender.bsky.social Alex Twitter: https://twitter.com/@alexhanna Mastodon: https://dair-community.social/@alex Bluesky: https://bsky.app/profile/alexhanna.bsky.social Music by Toby Menon.Artwork by Naomi Pleasure-Park. Production by Christie Taylor.

AI won't kill us all — but that doesn't make it trustworthy. Instead of getting distracted by future existential risks, AI ethics researcher Sasha Luccioni thinks we need to focus on the technology's current negative impacts, like emitting carbon, infringing copyrights and spreading biased information. She offers practical solutions to regulate our AI-filled future — so it's inclusive and transparent.

AI won't kill us all — but that doesn't make it trustworthy. Instead of getting distracted by future existential risks, AI ethics researcher Sasha Luccioni thinks we need to focus on the technology's current negative impacts, like emitting carbon, infringing copyrights and spreading biased information. She offers practical solutions to regulate our AI-filled future — so it's inclusive and transparent.

AI won't kill us all — but that doesn't make it trustworthy. Instead of getting distracted by future existential risks, AI ethics researcher Sasha Luccioni thinks we need to focus on the technology's current negative impacts, like emitting carbon, infringing copyrights and spreading biased information. She offers practical solutions to regulate our AI-filled future — so it's inclusive and transparent.

Are today's large language models too hot to handle? Bridget Todd digs into the risks and rewards of open sourcing the tech that makes ChatGPT talk.In their competitive rush to release powerful LLMs to the world, tech companies are fueling a controversy about what should and shouldn't be open in generative AI.In this episode, we meet open source research communities who have stepped up to develop more responsible machine learning alternatives.David Evan Harris worked at Meta to make AI more responsible and now shares his concerns about the risks of open large language models for disinformation and more. Abeba Birhane is a Mozilla advisor and cognitive scientist who calls for openness to facilitate independent audits of large datasets sourced from the internet. Sasha Luccioni is a researcher and climate lead at Hugging Face who says open source communities are key to developing ethical and sustainable machine learning.Andriy Mulyar is co-founder and CTO of Nomic, the startup behind the open source chatbot GPT4All, an offline and private alternative to ChatGPT.IRL: Online Life is Real Life is an original podcast from Mozilla, the non-profit behind Firefox. In Season 7, host Bridget Todd talks to AI builders that put people ahead of profit.

"I profoundly believe that open source is the way forward for AI so that we avoid this monopoly of power."   Hugging Face Climate Lead + AI Researcher Dr. Sasha Luccioni discusses the need to make AI "less bad for the planet," how tracking carbon impacts and sharing data can help, and how the company she works for is trying to be the GitHub for AI. Recorded live at ALL IN 2023 in Montréal.   Sponsored by Big Data & AI Toronto and Cisco Secure Firewall.

Artificial Intelligence seems more human-like and capable than ever before — but how did it get so good so quickly? Today, we're pulling back the curtain to find out exactly how AI works. And we'll dig into one of the biggest problems that scientists are worried about here: The ability of AI to trick us. We talk to Dr. Sasha Luccioni and Professor Seth Lazar about the science. This episode contains explicit language. There's also a brief mention of suicide, so please take care when listening. Here are some crisis hotlines:  United States: US National Suicide Prevention Lifeline 1-800-273-TALK (2755) (Online chat available); US Crisis Text Line Text “GO” to 741741 Australia: Lifeline 13 11 14 (Online chat available) Canada: Canadian Association for Suicide Prevention (See link for phone numbers listed by province) United Kingdom: Samaritans 116 123 (UK and ROI) Full list of international hotlines here  Find our transcript here: https://bit.ly/ScienceVsAI Chapters:  In this episode, we cover: Time stamp and titles for each chapter (first chapter must start at 00:00, minimum 3 chapters) (00:00) 64,000 willies (05:13) A swag pope (06:36) Why is AI so good right now? (09:06) How does AI work?  (17:43) Opening up AI to everyone (20:42) A rogue chatbot (27:50) Charming chatbots (29:42) A misinformation apocalypse? (33:16) Can you tell me something good?! (36:08) Citations, credits, and a special surprise…  This episode was produced by Joel Werner, with help from Wendy Zukerman, Meryl Horn, R.E. Natowicz, Rose Rimler, and Michelle Dang. We're edited by Blythe Terrell. Fact checking by Erica Akiko Howard. Mix and sound design by Jonathon Roberts. Music written by Bobby Lord, Peter Leonard, Emma Munger So Wylie and Bumi Hidaka. Thanks to all the researchers we spoke to including Dr Patrick Mineault, Professor Melanie Mitchell, Professor Arvind Narayanan, Professor Philip Torr, Stella Biderman, and Arman Chaudhry. Special thanks to Katie Vines, Allison, Jorge Just, the Zukerman Family and Joseph Lavelle Wilson.  Learn more about your ad choices. Visit podcastchoices.com/adchoices

There's a technological revolution happening right now that is having a massive impact on our interactions with each other, and the world around us. That revolution? Artificial Intelligence. Touted as a tool that will enable the average individual to generate groundbreaking developments for the betterment of humanity, AI is being seen as a panacea for many of our challenges in healthcare, education, agriculture, and transport. But as the saying goes, “With great power comes great responsibility”. What are the ethical implications of AI and what are we doing to address these? Further, how does AI fit into the Open Science movement? In this episode, we chat with Dr. Sasha Luccioni, Research Scientist, Hugging Face an organization focused on democratizing AI through open methods, to get some answers.

Lors de cette émission diffusée devant public, les spécialistes Sandra Rodriguez, Catherine Mathys, Philippe Beaudoin, Jonathan Folco-Durand et Sasha Luccioni discutent des effets potentiels sur la vie humaine, sur le travail et sur les relations amoureuses des robots conversationnels, mais aussi de l'intelligence artificielle en général.

Between mining for rare minerals, cooling data centers, and running computers for millions of hours, the climate impact of artificial intelligence is big and getting bigger. Marketplace’s Meghan McCarty Carino spoke with Sasha Luccioni, the climate lead for the AI company Hugging Face, about the process of training an earlier version of ChatGPT, which emitted roughly the same amount of carbon dioxide as a gas-powered car driving over one million miles.

Between mining for rare minerals, cooling data centers, and running computers for millions of hours, the climate impact of artificial intelligence is big and getting bigger. Marketplace’s Meghan McCarty Carino spoke with Sasha Luccioni, the climate lead for the AI company Hugging Face, about the process of training an earlier version of ChatGPT, which emitted roughly the same amount of carbon dioxide as a gas-powered car driving over one million miles.

This week host Chris Adams is joined by Asim Hussain and Environment Variables regular Sara Bergman to discuss the hidden costs of generative AI. What's really at the tip of this iceberg and how far down does it go? They also discuss just how thirsty AI chatbots really are and developments in platform engineering. Finally, we share some opportunities for development from the world of green software.

Climate change impacts really hit home when they, well, hit home. But what if you're not yet seeing it first hand? A new website can make climate change exist right on your doorstep, virtually. Sasha Luccioni, lead researcher on the project, joins us. And, Tuesday is Día de los Muertos, or Day of the Dead. The traditional Mexican holiday has taken on a new meaning as the list of those who've died of COVID continues to grow. Here & Now's Chris Bentley reports.

In this episode of Tech Tonic, we ask whether AI's potential in the fight against the climate crisis justifies the massive amounts of energy it takes to run these systems. The computing power required to train AI concerns some researchers, who have built a calculator to count the tech's carbon footprint. But AI advances have also opened new avenues to fight climate change, by helping Arctic scientists, weather modellers, and green energy gurus. This week the FT's innovation editor John Thornhill and environment and clean energy correspondent Leslie Hook, debate AI's climate effects. We also hear from Jennifer Jackson, a molecular biologist at the British Antarctic Survey, and Sasha Luccioni, an AI researcher at Mila research institute in Quebec. Alice Fordham is the senior producer. Josh Gabert Doyon is the assistant producer. Oluwakemi Aladesuyi and Liam Nolan are the development producers. Sound design and mixing by Breen Turner. Cheryl Brumley is the executive producer for this series. Hydrophonic recordings kindly supplied by Ellen White at the University of Southampton. Review clips: Apple, Amazon, Microsoft, Sonos, Samsung, Google, Rogers, Universal Pictures, Three, NBC, Nintendo. See acast.com/privacy for privacy and opt-out information.

In this episode of Are You A Robot?, Sasha Luccioni joins us to discuss how AI can help climate change. Sasha shares some of the amazing projects she is working on, including a programme that allows users to view images of environmental disasters projected onto their neighbourhoods. Sasha Luccioni is a Postdoctoral Researcher at Université de Montréal & Member of Working Group on AI Ethics at the Canadian Commission for UNESCO: You can follow her on Twitter (@SashaMTL) and LinkedIn: https://bit.ly/3sLLnSS This episode is brought to you by EthicsGrade, an ESG Ratings agency with a particular focus on Technology Governance, especially AI Ethics. You can find more information about EthicsGrade here: https://www.ethicsgrade.io/ You can also follow EthicsGrade on Twitter (@EthicsGrade) and LinkedIn: https://bit.ly/2JCiQOg Connect with Us: Join our Slack channel for more conversation about the big ethics issues that rise from AI: https://bit.ly/3jVdNov Follow Are You A Robot? on Twitter, Instagram and Facebook: @AreYouARobotPod Follow our LinkedIn page: https://bit.ly/3gqzbSw Follow Demetrios on Twitter @Dpbrinkm and LinkedIn: https://bit.ly/2TPrA5w Resources mentioned in this episode: Mila: https://mila.quebec/en/ Code Carbon: http://bit.ly/3e9yygW National Geographic: https://bit.ly/3uTd260 Tackling Climate Change with Machine Learning: https://arxiv.org/abs/1906.05433 Climate Change and AI: https://www.climatechange.ai/ Sasha's research: https://bit.ly/3e2M325 Sasha's project on Visualising Climate Change : http://bit.ly/3bes7Y6 WIRED article Sasha was quoted in: https://bit.ly/3bcP2mu Louis Byrd's episode: http://bit.ly/2V2sQCQ Louis' article about racist tech: http://bit.ly/3fA0tWa Charles Radclyffe's article about racist chatbots: http://bit.ly/2OkZIqc

Dr. Sasha Luccioni discusses the ways Artificial Intelligence (AI) can be used in both climate mitigation and adaptation approaches. She explains the trade-off between the environmental cost and benefits of training AI models. Dr. Luccioni also shares the biggest challenges to be tackled at the nexus of AI and climate change. cimpatico.tv