Podcast appearances and mentions of Gillian Hadfield

We're kicking off the year with a deep-dive into AI ethics and safety with three AI experts: Dr. Rumman Chowdry, the  CEO and co-founder of Humane Intelligence and the first person to be appointed U.S. Science Envoy for Artificial Intelligence; Mark Dredze, a professor of computer science at Johns Hopkins University who's done extensive research on bias in LLMs; and Gillian Hadfield, an economist and legal scholar turned-AI researcher at Johns Hopkins University. The panel answers questions like: is it possible to create unbiased AI? What are the worst fears and greatest hopes for AI development under Trump 2.0? What sort of legal framework will be necessary to regulate autonomous AI agents? And is the hype around AI leading to stagnation in other fields of innovation? Questions? Comments? Email us at on@voxmedia.com or find us on Instagram and TikTok @onwithkaraswisher. Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode of Disruptors x CDL: The Innovation Era, hosts John Stackhouse, Senior VP of RBC, and Sonia Sennik, CEO of Creative Destruction Lab, dive into one of the most transformative technologies of our time: Artificial Intelligence. With the potential to revolutionize industries from healthcare to energy, AI is reshaping the global economy — and Canada is both a leader in research and a laggard in adoption.This week, Geoffrey Hinton, Professor at the University of Toronto, was awarded the Nobel Prize in Physics for his research in artificial intelligence that began in 1987.Join John and Sonia as they discuss Canada's AI ecosystem and the country's challenges in keeping pace with global AI adoption. They're joined by three visionary guests: Sheldon Fernandez, CEO of Darwin AI, Kory Mathewson, Senior Research Scientist at Google DeepMind, and Gillian Hadfield, a Schmidt Sciences AI2050 Senior Fellow. Together, they explore the opportunities and barriers in AI adoption, the creative applications of AI, and the role Canada must play in the future of AI.This episode is packed with insights for business leaders, policymakers, and anyone curious about how AI is changing our world. Whether you're an AI enthusiast or a skeptic, this episode will challenge your thinking on the role of technology in shaping the future.Tune in to learn how AI is both an opportunity and a responsibility, and how Canada can lead the charge in this new innovation era.

Accountability seems to be an open question when it comes to artificial intelligence. Chris Smith speaks to Gillian Hadfield about some emerging problems with AI.

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Paper in Science: Managing extreme AI risks amid rapid progress, published by JanB on May 23, 2024 on The AI Alignment Forum. https://www.science.org/doi/10.1126/science.adn0117 Authors: Yoshua Bengio, Geoffrey Hinton, Andrew Yao, Dawn Song, Pieter Abbeel, Yuval Noah Harari, Ya-Qin Zhang, Lan Xue, Shai Shalev-Shwartz, Gillian Hadfield, Jeff Clune, Tegan Maharaj, Frank Hutter, Atılım Güneş Baydin, Sheila McIlraith, Qiqi Gao, Ashwin Acharya, David Krueger, Anca Dragan, Philip Torr, Stuart Russell, Daniel Kahneman, Jan Brauner*, Sören Mindermann* Abstract: Artificial intelligence (AI) is progressing rapidly, and companies are shifting their focus to developing generalist AI systems that can autonomously act and pursue goals. Increases in capabilities and autonomy may soon massively amplify AI's impact, with risks that include large-scale social harms, malicious uses, and an irreversible loss of human control over autonomous AI systems. Although researchers have warned of extreme risks from AI, there is a lack of consensus about how to manage them. Society's response, despite promising first steps, is incommensurate with the possibility of rapid, transformative progress that is expected by many experts. AI safety research is lagging. Present governance initiatives lack the mechanisms and institutions to prevent misuse and recklessness and barely address autonomous systems. Drawing on lessons learned from other safety-critical technologies, we outline a comprehensive plan that combines technical research and development with proactive, adaptive governance mechanisms for a more commensurate preparation. Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org.

Safe and Accountable Hosts Beth Coleman and Rahul Krishnan navigate the challenging terrain of AI safety and governance. In this episode, they are joined by University of Toronto experts Gillian Hadfield and Roger Grosse as they explore critical questions about AI's risks, regulatory challenges and how to align the technology with human values. Hosts Beth Coleman is an associate professor at U of T Mississauga's Institute of Communication, Culture, Information and Technology (https://www.utm.utoronto.ca/iccit/) and the Faculty of Information. She is also a research lead on AI policy and praxis at the Schwartz Reisman Institute for Technology and Society (https://srinstitute.utoronto.ca/). Coleman authored Reality Was Whatever Happened: Octavia Butler AI and Other Possible Worlds (https://k-verlag.org/books/beth-coleman-reality-was-whatever-happened/) using art and generative AI. Rahul Krishnan is an assistant professor in U of T's department of computer science in the Faculty of Arts & Science (https://www.artsci.utoronto.ca/) and department of laboratory medicine and pathobiology in the Temerty Faculty of Medicine (https://temertymedicine.utoronto.ca/). He is a Canada CIFAR Chair at the Vector Institute, a faculty affiliate at the Schwartz Reisman Institute for Technology and Society and a faculty member at the Temerty Centre for AI Research and Education in Medicine (T-CAIREM https://tcairem.utoronto.ca/). Guests Gillian Hadfield is a professor of law and strategic management in the Faculty of Law (https://www.law.utoronto.ca/) at U of T and is the inaugural Schwartz Reisman Chair in Technology and Society. She holds a CIFAR AI Chair at the Vector Institute for AI and served as a senior policy adviser to OpenAI from 2018 to 2023. Roger Grosse is an associate professor of computer science in the Faculty of Arts & Science and a founding member of the Vector Institute (https://vectorinstitute.ai/). He is a faculty affiliate at the Schwartz Reisman Institute for Technology and Society and was part of the technical staff on the alignment team at Anthropic, an AI safety and research company based in San Francisco.

It's been one year since the launch of chatGPT - how has regulation and policy evolved since then? And where does it need to go? Recently appointed a Schmidt Futures AI2050 Senior Fellow, Professor Gillian Hadfield is a scholar of law and economics with a focus on the intersection of legal system design and the governance of AI. She is currently spending her time in an area of urgent importance for humanity: innovative design for legal and regulatory systems for AI and other complex global technologies; computational models of human normative systems; and working with machine learning researchers to build machine learning systems that understand and respond to human norms. She is the director of the Schwartz Reisman Institute for Technology and Society, Schwartz Reisman Chair in Technology and Society, professor of law and of strategic management at the University of Toronto. Professor Hadfield was a Senior Policy Advisor for OpenAI, and is an advisor to courts, governments and several organizations and technology companies engaged in innovating new ways to make law and policy smarter, more accessible, and more responsive to technology and artificial intelligence. We chat with Gillian about how she frames the two different challenges at hand with AI: conventional risks and frontier risks, how we build regulatory infrastructure that interfaces well with these new technologies, as well as the importance of interdisciplinary teamwork to solve these complex problems.

The modern internet is powered by recommendation algorithms. They're everywhere from Facebook to YouTube, from search engines to shopping websites. These systems track your online consumption and use that data to suggest the next piece of content for you to absorb. Their goal is to keep users on a platform by presenting them with things they'll spend more time engaging with. Trouble is, those link chains can lead to some weird places, occasionally taking users down dark internet rabbit holes or showing harmful content. Lawmakers and researchers have criticized recommendation systems before, but these methods are under renewed scrutiny now that Google and Twitter are going before the US Supreme Court to defend their algorithmic practices. This week on Gadget Lab, we talk with Jonathan Stray, a senior scientist at the Berkeley Center for Human-Compatible AI who studies recommendation systems online. We discuss how recommendation algorithms work, how they're studied, and how they can be both abused and restrained. Show Notes: Read all about Section 230. Read Jonathan Stray and Gillian Hadfield's story on WIRED about their engagement research. Read more about the two cases before the US Supreme Court. Recommendations: Jonathan recommends the book The Way Out by Peter Coleman. Mike recommends the novel Denial by Jon Raymond. Lauren recommends Matt Reynolds' WIRED story about how you've been thinking about food all wrong, and also getting a bag to make nut milk. Jonathan Stray can be found on Twitter @jonathanstray. Lauren Goode is @LaurenGoode. Michael Calore is @snackfight. Bling the main hotline at @GadgetLab. The show is produced by Boone Ashworth (@booneashworth). Our theme music is by Solar Keys. If you have feedback about the show, take our brief listener survey. Doing so will earn you a chance to win a $1,000 prize. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: What Should AI Owe To Us? Accountable and Aligned AI Systems via Contractualist AI Alignment, published by Xuan (Tan Zhi Xuan) on September 8, 2022 on The AI Alignment Forum. This is an extended and edited transcript of the talk I recently gave at EAGxSingapore 2022. The title has been changed for easier searchability of "Contractualist AI Alignment". Abstract: Artificial intelligence seems poised to alter our civilization in transformative ways. How can we align this development with our collective interests? Dominant trends in AI alignment research adopt a preference utilitarian conception of alignment, but this faces practical challenges when extended to a multiplicity of humans, values, and AI systems. This talk develops contractualist AI alignment as an alternative framework, charting out a vision of societal-scale alignment where AI systems can serve a plurality of roles and values, governed by and accountable to collectively decided, role-specific norms, with technical work ensuring compliance with these overlapping social contracts in the face of normative ambiguity. Overview This talk is an attempt to condense a lot of my thinking about AI alignment over the past few years, and why I think we need to orient the field towards a different set of questions and directions than have typically been pursued so far. It builds upon many ideas in my previous talk on AI alignment and philosophical pluralism, as well as arguments in Comprehensive AI Services as General Intelligence, AI Research Considerations for Human Existential Safety (ARCHES), How AI Fails Us, and Gillian Hadfield's work on The Foundations of Cooperative Intelligence. This will cover a lot of ground, so below is a quick overview: The dominant "preference utilitarian" framework in AI alignment research. Challenges for extending this framework to a multiplicity of humans, values, and autonomous systems. Considerations and desiderata that a successful approach to society-scale AI alignment should address. Pluralist and contractualist AI alignment as an alternate framework, including implications for governance, technical research, and philosophical foundations. Alignment: A Preference Utilitarian Approach One way of describing the framework that most alignment researchers implicitly adopt is a "preference utilitarian" approach. Stuart Russell's 3 Principles for Beneficial AI are good summary of this approach. Recognizing that many dangers arise when machines optimize for proxy metrics that ultimately differ from human values, he instead advocates that: The machine's only objective is to maximize the realization of human preferences. The machine is initially uncertain about what those preferences are. The ultimate source of information about human preferences is human behavior. Stuart Russell, Human Compatible (2019) More broadly, many researchers frame the problem as one of utility matching. Under certain assumptions, a single human's preferences can be represented as a utility function over outcomes, and the goal is to build AI systems that optimize the same utility function. (This is implicit in talk about, e.g., objective functions in inner misalignment, and reward modeling, which suggested that human objectives and values can ultimately be represented as a mapping to a scalar quantity called "reward" or "utility".) Why is this hard? Because while it may be possible to ensure that the system does the right thing during development, it's much harder to ensure this during deployment, especially as systems become more capable of achieving new outcomes. For example, a self-driving car might safely avoid obstacles for all situations it was trained on. But at deployment, the objective it's effectively maximizing for might be much more positive than the true human objective, leading to car crashes. So the...

No one denies we live in a new era filled with issues that are reshaping our lives. Dr. Gillian Hadfield, a professor of law and economics, wants to be sure we gain back our power during these turbulent times. Our conversation about her book, “Rules for a Flat World,” gives us the tools we'll need to gain back our confidence and make the necessary changes to better ourselves and our world.Support the show

A broad thinker from an unusual background, Dr. Gillian Hadfield shares a different take on building these models from the general norm, as well as how to incorporate transparency into justifiable systems, and the hypothesis of building a system where decisions are attached back to a person responsible. We also talk about the need for safe, consistent, and up-to-date regulatory structures, and the effects of not having this, before closing with some powerful advice around the work we have to do going forward in this sector! We hope you can join us for this hugely insightful conversation.Key Points From This Episode:Introducing Dr. Gillian Hadfield and what drew her to the space of law and globalization.How the challenges of AI align with the challenges of economics.The need for people in social sciences and humanities to engage in design and building.The objective of the Schwartz Reisman Institute for Technology and Society.Defining AI governance to address the alignment problem.Comparing AI with conventional programming and the difficulties with test sets.The difference between AI explainability and justifiability.Talking about the GDPR and what they are really looking for.A legal analogy on incorporating transparency into justifiable systems.Discussing the chicken-and-egg confusion that regulators are feeling.Why we haven't seen the growth of AI we would expect.How regulatory regimes haven't kept up with the speed of globalization and digitization.The balance of having the right kind of regulation.A walk through the current landscape of AI regulation.What regulatory technologies look like.The focus on fairness and algorithmic bias and AI's capacity in all domains.Dr. Hadfield's advice for people who are looking for AI integration in their practices.Tweetables:“There's no one solution to how you align AI.” — @ghadfield [0:10:19]“We have the alignment problem everywhere. How do you get a corporation to do what you want it to do, how do you get governments to do what you want them to do?” — @ghadfield [0:23:52]“AI is a general-purpose technology, it's a way of solving problems, it's a way of coming up with new ideas. It's going to be everywhere. I prefer to think of the regulatory challenge as, how is AI changing your capacity to achieve your regulatory goals, in any domain?” — @ghadfield [0:37:41]“We need way more people who are not engineers, deeply engaged in the process of building our systems.” — @ghadfield [0:42:13]Links Mentioned in Today's Episode:Gillian Hadfield on LinkedInGillian Hadfield on TwitterThe Vector InstituteSchwartz Reisman Institute for Technology and Society GDPRMila

It's no secret that governments around the world are struggling to come up with effective policies to address the risks and opportunities that AI presents. And there are many reasons why that's happening: many people — including technical people — think they understand what frontier AI looks like, but very few actually do, and even fewer are interested in applying their understanding in a government context, where salaries are low and stock compensation doesn't even exist. So there's a critical policy-technical gap that needs bridging, and failing to address that gap isn't really an option: it would mean flying blind through the most important test of technological governance the world has ever faced. Unfortunately, policymakers have had to move ahead with regulating and legislating with that dangerous knowledge gap in place, and the result has been less-than-stellar: widely criticized definitions of privacy and explainability, and definitions of AI that create exploitable loopholes are among some of the more concerning results. Enter Gillian Hadfield, a Professor of Law and Professor of Strategic Management and Director of the Schwartz Reisman Institute for Technology and Society. Gillian's background is in law and economics, which has led her to AI policy, and definitional problems with recent and emerging regulations on AI and privacy. But — as I discovered during the podcast — she also happens to be related to Dyllan Hadfield-Menell, an AI alignment researcher whom we've had on the show before. Partly through Dyllan, Gillian has also been exploring how principles of AI alignment research can be applied to AI policy, and to contract law. Gillian joined me to talk about all that and more on this episode of the podcast. --- Intro music: - Artist: Ron Gelinas - Track Title: Daybreak Chill Blend (original mix) - Link to Track: https://youtu.be/d8Y2sKIgFWc --- Chapters: 1:35 Gillian's background 8:44 Layers and governments' legislation 13:45 Explanations and justifications 17:30 Explainable humans 24:40 Goodhart's Law 29:10 Bringing in AI alignment 38:00 GDPR 42:00 Involving technical folks 49:20 Wrap-up

Gillian Hadfield is Director of the Schwartz Reisman Institute for Technology and Society. She is a Professor of Law and Professor of Strategic Management at the University of Toronto. In our interview, we discuss: Why humans invented law, and what Gillian describes as "the demand side" for legal infrastructure; Why social norms continue to be important today and how Ancient Athens managed to use a decentralised system of collective punishment; The case for "regulatory markets" in governing artificial intelligence, and how governments in the 21st Century need to keep up with rapid advances in technology "Silly rules" and why seemingly arbitrary norms are actually really important in creating society's normative infrastructures You can read more about the topics we cover in this episode's write-up: hearthisidea.com/episodes/gillian. If you have any feedback or suggestions for future guests, feel free to get in touch through our website. Consider leaving us a review wherever you're listening to this — it's the best free way to support the show. If you want to support the show more directly, consider leaving a tip. Thanks for listening!

When the Utah Supreme Court started studying the access to justice gap, justices and bar leaders were alarmed to learn that 93% of those using adult courts in the state’s largest jurisdiction were showing up without legal assistance. Let that sink in: 93% were coming to court without a lawyer. It’s a figure host Ralph Baxter’s guests say is common across North America. With news still fresh of Utah’s groundbreaking order creating a regulatory sandbox to address the crisis involving the delivery of legal services, Baxter discusses the order’s rationale and significance with three key leaders behind Utah’s move: Economics and Law Professor Gillian Hadfield, Utah Justice Deno Himonas, and Utah Bar immediate Past President John Lund. There’s something wrong when the current legal model serves just ten to fifteen percent of the population, Hadfield tells Baxter. She says Utah’s approach is on solid ground because the bench and bar are cooperating to collect data that will inform its shifting legal regulatory framework. The four discuss how the model rules of professional conduct, developed for an older and dated model of law practice, are less about ethics and more about controlling business operations. Utah’s sandbox removes many of those barriers while keeping consumers protected. Hadfield and Lund also note that despite pushback on rule changes -- such as relaxing rules on non-lawyer ownership and creating licensing routes for paraprofessionals -- the remaking of the rules is bound to increase opportunities for lawyers. Finding ways to better serve that 80% to 90% who need but don’t have lawyers will open up the market, they tell Baxter. Gillian Hadfield is the inaugural Schwartz Reisman Chair in Technology and Society at the University of Toronto Faculty of Law. Deno Himonas is a justice of the Utah Supreme Court. John Lund is a Salt Lake City lawyer and immediate past president of the Utah Bar. Special thanks to our sponsors, Logikcull and Acumass.

When the Utah Supreme Court started studying the access to justice gap, justices and bar leaders were alarmed to learn that 93% of those using adult courts in the state’s largest jurisdiction were showing up without legal assistance. Let that sink in: 93% were coming to court without a lawyer. It’s a figure host Ralph Baxter’s guests say is common across North America. With news still fresh of Utah’s groundbreaking order creating a regulatory sandbox to address the crisis involving the delivery of legal services, Baxter discusses the order’s rationale and significance with three key leaders behind Utah’s move: Economics and Law Professor Gillian Hadfield, Utah Justice Deno Himonas, and Utah Bar immediate Past President John Lund. There’s something wrong when the current legal model serves just ten to fifteen percent of the population, Hadfield tells Baxter. She says Utah’s approach is on solid ground because the bench and bar are cooperating to collect data that will inform its shifting legal regulatory framework. The four discuss how the model rules of professional conduct, developed for an older and dated model of law practice, are less about ethics and more about controlling business operations. Utah’s sandbox removes many of those barriers while keeping consumers protected. Hadfield and Lund also note that despite pushback on rule changes -- such as relaxing rules on non-lawyer ownership and creating licensing routes for paraprofessionals -- the remaking of the rules is bound to increase opportunities for lawyers. Finding ways to better serve that 80% to 90% who need but don’t have lawyers will open up the market, they tell Baxter. Gillian Hadfield is the inaugural Schwartz Reisman Chair in Technology and Society at the University of Toronto Faculty of Law. Deno Himonas is a justice of the Utah Supreme Court. John Lund is a Salt Lake City lawyer and immediate past president of the Utah Bar. Special thanks to our sponsors, Logikcull and Acumass.

In the late 80s, police were dispatched to investigate why thousands of VHS cassettes were scattered on highways around Jackson, Mississippi. That started a series of events that threatened the most powerful people in town and ended a mom and pop business. Without margin, small businesses—including small law firms—can't survive.   Episode Resources Connect with Mike Whelan https://www.lawyerforward.com/ The Cost of Law by Gillian Hadfield: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2333990  Margin by Richard Swenson: http://www.richardswenson.com/margin

Shownotes can be found at https://www.profitwithlaw.com/118.   The tech industry is evolving and there are ways to automate and serve people in various areas of the law where a computer could do the job that an attorney is doing. Moshe Amsel and Lori Gonzalez dig deep into this issue to uncover the root of the problem with technology in the legal industry. Listen now to learn more about what is causing the gap in technology and automations for law firms. Resources mentioned:   Law Firm Expansion Free Coaching Session: https://www.profitwithlaw.com/freecoaching Get in touch with Lori Gonzalez’s: lori@raynacorp.com - https://raynacorp.com/ - Twitter @RayNaCorp Tracers - https://www.tracers.com/ Smith.ai - https://smith.ai/ Legal zoom - https://www.legalzoom.com/ Lynda - https://www.lynda.com/ Stacksocial - https://stacksocial.com/ Price Benowitz LLP - https://pricebenowitz.com/ BluShark Digital - https://blusharkdigital.com/ Rules for a Flat World by Gillian Hadfield - https://www.profitwithlaw.com/rulesforaflatworldbook Hello Divorce, Erin Levine - https://hellodivorce.com/   Join our Facebook Community: https://www.facebook.com/groups/lawfirmgrowthsummit/   To request a show topic, recommend a guest or ask a question for the show, please send an email to info@dreambuilderfinancial.com.   Connect with Moshe on: Facebook - https://www.facebook.com/moshe.amsel LinkedIn - https://www.linkedin.com/in/mosheamsel/

Law Technology Now welcomes Gillian Hadfield to the show to talk with host Ralph Baxter about the idea of reinventing the law. She starts off by explaining how she became interested in changing the way law works through personal experience and then touches on access to our justice system and how it doesn’t give the ordinary person the legal resources they need. Gillian discusses how reinventing the law will necessitate thinking big, embracing diversity, and being responsive to feedback, not to mention the considerable financial investment needed to implement new solutions. She also explains why the legal industry lacks innovation and what we should do to help expand our knowledge. Gillian Hadfield is the inaugural Schwartz Reisman Chair in Technology and Society, Professor of Law, and Professor of Strategic Management. Special thanks to our sponsors, Logikcull and Acumass. Sources: Rules for a Flat World

Law Technology Now welcomes Gillian Hadfield to the show to talk with host Ralph Baxter about the idea of reinventing the law. She starts off by explaining how she became interested in changing the way law works through personal experience and then touches on access to our justice system and how it doesn’t give the ordinary person the legal resources they need. Gillian discusses how reinventing the law will necessitate thinking big, embracing diversity, and being responsive to feedback, not to mention the considerable financial investment needed to implement new solutions. She also explains why the legal industry lacks innovation and what we should do to help expand our knowledge. Gillian Hadfield is the inaugural Schwartz Reisman Chair in Technology and Society, Professor of Law, and Professor of Strategic Management. Special thanks to our sponsors, Logikcull and Acumass. Sources: Rules for a Flat World

This week on Exponential, Gillian Hadfield, The inaugural Schwartz Reisman Chair in Technology and Society, Professor of Law, and Professor of Strategic Management

Gillian Hadfield is the inaugural Schwartz Reisman Chair in Technology and Society at the University of Toronto. She is also a Professor of Law and Professor of Strategic Management and the author of the book Rules for a flat world.In addition to this Gillian works with OpenAI as a Senior Policy Advisor supporting their mission to ensure that the path to artificial general intelligence benefits all of humanity.In this episode, I asked Gillian a series of quickfire bonus questions.

Gillian Hadfield is the inaugural Schwartz Reisman Chair in Technology and Society at the University of Toronto. She is also a Professor of Law and Professor of Strategic Management and the author of the book Rules for a flat world.In addition to this Gillian works with OpenAI as a Senior Policy Advisor supporting their mission to ensure that the path to artificial general intelligence benefits all of humanity.In this episode we discussed the problems that have come about because legal and regulatory systems are no longer fit for purpose for the level of complexity, speed, innovation and globalization within our societies and economies. We talked about the challenges of building human normativity into robots and the need for social scientists. We also spoke about how a third space of regulation as a service will take a place between Government regulation and self-regulation.

A lawyer, economist and scholar, Gillian K. Hadfield has devoted much of her career to studying how legal systems can be improved to ensure they meet the needs of the people they are meant to serve. In her book, Rules for a Flat World: Why Humans Invented Law and How to Reinvent It for a Complex Global Economy, she argues that the complexity of today’s global, digital economy has pushed law to its limits, making it too expensive, too complicated, and too far out of touch with our needs. In this episode of LawNext, host Bob Ambrogi speaks with Hadfield about her book and her proposals for reinventing the legal system. They also discuss her ideas for addressing the access-to-justice gap, her recent research on ensuring the safety of artificial intelligence, her belief that private investment is essential to sparking innovation in law, and her work with the Utah Supreme Court to launch a regulatory sandbox to test many of her theories. With both a J.D. from Stanford Law School and Ph.D. in economics from Stanford University, Hadfield is currently based at the University of Toronto Faculty of Law and Rotman School of Management, where she teaches courses in legal innovation and design, responsible development and governance of AI, the origins and evolution of the law, and contract law and strategy. She is a faculty affiliate at the Vector Institute for Artificial Intelligence in Toronto and the Center for Human-Compatible AI at the University of California, Berkeley. She has served as a member of the World Economic Forum’s Global Future Council on the Future of Technology, Values and Policy and Global Agenda Council on Justice and co-curates the Forum’s Transformation Map for Justice and Legal Infrastructure. She was appointed in 2017 to the American Bar Association’s Commission on the Future of Legal Education and is a member of the World Justice Project’s Research Consortium. She serves as an advisor to The Hague Institute for the Innovation of Law, LegalZoom, and other legal tech startups. NEW: We are now on Patreon! Subscribe to our page to be able to access show transcripts, or to submit a question for our guests. Comment on this show: Record a voice comment on your mobile phone and send it to info@lawnext.com.

Andrew Maynard and Heather Ross chat with Gillian Hadfield at the 2018 Governance of Emerging Technologies and Science conference. Gillian is professor of USC's Gould School of Law and author of Rules for a Flat World: Why Humans Invented Law and How to Reinvent It for a Complex Global Economy. LINKS Gillian Hadfield: https://weblaw.usc.edu/faculty/?id=220 Governance of Emerging Technologies and Science conference: events.asucollegeoflaw.com/gets/ Rules for a Flat World: Why Humans Invented Law and How to Reinvent It for a Complex Global Economy: https://global.oup.com/academic/product/rules-for-a-flat-world-9780199916528?cc=gb&lang=en&

We interview legal professor, lawyer, author, and legal tech scholar Gillian Hadfield about globalization, tech innovation, and what lawyers can learn from her new book, “Rules for a Flat World.” NEWS - http://www.lawtechnologytoday.org/2018/01/the-data-driven-lawyer/  GUEST - https://www.amazon.com/Rules-Flat-World-Invented-Reinvent-ebook/dp/B01LYZXIVU  SUBSCRIBE -> https://apple.co/2jZtoa4  TWITTER -> https://bit.ly/2Kul39I  FACEBOOK -> https://bit.ly/2wK7CQN ©2018 Consultwebs www.thelawsomepodcast.com 

Premonition Premonition Podcast with Professor Gillian Hadfield. How to reinvent law and why quality and metrics, will play a crucial part. The post Premonition Podcast 6 : Professor Gillian Hadfield, Author of ‘Rules for a flat world’ appeared first on Premonition. Premonition is an Artificial Intelligence system that mines Big Data to find out which Attorneys usually win before which Judges. It is a very, very unfair advantage in Litigation. Follow us at https://www.linkedin.com/company/premonition-analytics for insider legal news and visit us at Premonition.

How can regulators assess the risks and mitigate them sensibly without stifling the enormous potential benefits that Fourth Industrial Revolution technologies have to offer? In episode 5 of ‘Shaping the Fourth Industrial Revolution’, we examine some of the emerging tools regulators are developing to blunt the horns of this particular dilemma. We are joined by Karen Yeung, Director of the Centre for Technology, Ethics, Law and Society at King’s College London; Nita Farahany, Professor of Law and Philosophy at Duke University; Dave Guston, Co-director of the Consortium for Science, Policy and Outcomes at Arizona State University; Wendell Wallach, Chair of Technology and Ethics Studies at the Interdisciplinary Center for Bioethics, Yale University; Gillian Hadfield, legal scholar and author of ‘Rules for a Flat World’; Rob Sparrow, ethicist and Professor at Monash University in Melbourne; Sheila Jasanoff, Pforzheimer Professor of Science and Technology Studies at the Harvard Kennedy School; and Professor Kyong-Su Yi, Head of the Vehicle Dynamics and Control Lab at Seoul National University.

This week on the Law.com Unprecedented podcast, we hear from Gillian Hadfield, a professor at the University of Southern California's Gould School of Law and author of Rules for a Flat World: Why Humans Invented Law and How to Reinvent It for a Complex Global Economy. 

Gillian Hadfield is the Richard L. and Antoinette Schamoi Kirtland Professor of Law and Professor of Economics at the University of Southern California where she writes and teaches about legal design and legal innovation. For the latest topics, trends and tech in the legal industry, subscribe to Evolve Law Podcast: A Catalyst for Legal Innovation. Listen as legal experts and leaders share insights about the legal industry. For more information, questions, or suggestions about our podcast feel free to email us at info@evolvelawnow.com Links and Resources from this Episode https://gillianhadfield.com Faculty page Wikipedia Amazon author page Twitter Evolve your legal practice with technology Access the Legal Tech Toolkit Show Notes Jillian’s background in the legal industry - 0:37 Why should people care about legal tech? - 1:38 What do you think is the biggest opportunity in legal technology today and what should practicing attorneys be buying and using right now? - 3:33 What do you think is the biggest opportunity for people selling legal technology? - 8:15 What do you think is the game changing technology in legal tech? - 11:15 What tips would you share with innovators in the legal space? - 15:42 What advice would you give to lawyers who want to use these new technologies in their practice? 17:40 Final thoughts about the legal industry - 19:22 Review, Subscribe and Share If you like what you hear please leave a review by clicking here Subscribe to the podcast on your favorite player to get the latest episodes. Click here to subscribe with iTunes Click here to subscribe with Stitcher Click here to subscribe with RSS

Julie talks to self-represented litigant Judy Gayton about her years of struggling through the justice system with a cognitive disability. Judy's story is representative of the many people contacting the NSRLP who face the double whammy of navigating the legal system by themselves, on top of a disability. In other news: another great piece from Gillian Hadfield, and career changes from two of Ontario's top justice leaders. Please note: If you are a lawyer, especially if you have experience working with brain injured clients, and would be willing to consider assisting Judy pro bono on either an application to appeal her trial outcome, a human rights complaint, or an appeal of her legal aid refusal, we would like to hear from you, and can connect you to Judy. You can email us at representingyourself@gmail.com. More on this episode on our website: https://representingyourselfcanada.com/catch-22-no-capacity-no-lawyer/

Law professor Gillian Hadfield of the University of Southern California and author of Rules for a Flat World talks with EconTalk host Russ Roberts about the ideas in her book for regulating the digital future. Hadfield suggests the competitive provision of regulation with government oversight as a way to improve the flexibility and effectiveness of regulation in the dynamic digital world we are living in.

If you’ve been following the Facebook Terms of Service flap you probably have some idea of how big a deal a company’s terms of service can be. If Facebook were a country they would be the sixth largest in the world, just by the sheer number of citizens they can claim. But how a citizen of Facebook participates in society – at least in the microcosm of society that is Facebook – is subject to a confusing and overlapping set of legal infrastructures – not just the Terms of Service Facebook sets out. Gillian Hadfield a law and economics professor at the University of Southern California argues that Facebook and other companies in the new economy are inhibited by current mechanisms for producing law, and need more leeway in developing their own legal infrastructures. Is Professor Hadfield looking to put the government out of a job? Not exactly. Listen to today’s episode to find out what private lawmaking really means, and how it could power innovation.