Liberty. Equality. Data.

In this episode we are joined by Heather Meeker, an experienced technology and open source expert, as well Founding Portfolio Partner at OSS Capital, an early-stage venture capital fund specializing in commercial open source development. Heather has a wealth of experience to draw from, starting from as a developer ("computer programmer" as she calls it), to working on open source license strategies for some of the most recognized leading companies over the years. We talk about developer communities, early models to data and their evolution, open source as a way to develop and promulgate a kind of standards and the power of open innovation, the impact it could have the data that we generate was available to build innovative solutions upon. Some more background on Heather Meeker, from https://www.techlawpartners.com/heather Meeker advises technology clients on intellectual property matters, including licensing and collaboration arrangements, software copyright and patent issues, technology procurement, open source licensing strategies, and intellectual property issues in investments, mergers and acquisitions. She is an internationally known specialist in open source software licensing. Her latest book, Open Source for Business, is a definitive handbook for lawyers, engineers, and businesspersons on open source licensing in business. Her Technology Licensing: A Primer, is a widely used handbook for technology licensing specialists. In 2019, Meeker was named by Business Insider as one of the ten people transforming the way the technology industry does business, along with the CEOs of Salesforce, Stripe, and Microsoft. She was the only lawyer on this list.

We will never have enough doctors, psychiatrists, nutritionists in the world - how do we overcome this problem? In this episode we talk with health data and machine learning expert Dr. Jaan Aaltosaar, who is a Postdoctoral Officer of Research at Columbia University Irving Medical Center focused on machine learning methods for health and science. Jaan has a background working with health data from Princeton, Deepmind and Google Brain. We discuss the complexities of the current medical data systems, how to yourself gather data and what the implications are, how you yourself can utilize data for your own benefit, such as genome sequencing. We discuss open source's role in the development of the data markets and how governance of AI/ML models could evolve to fit a growing need for more utilization of data in a way that works for entire ecosystems of individuals.

Zededa provides edge compute, with the emphasis on compute. In this episode we talked with co-founder and CTO Roman Shaposhnik, who has decades of experience in the market from e.g. Apache foundation and Jason Shepherd, VP, Ecosystem at the company, who's background spans service as CTO of Edge and IOT at Dell and vast contributions to open source. In the episode we discuss: the IoT market, its evolution and where all the money went; about plumbing, the need for infrastructure in markets such as IoT and edge networks; the role for open source and its critical nature in foundational technologies; how decentralization of data unlocks various utilities and use cases, such as use cases hacking a Mercedes Benz, truck safety and logistics networks, the home and IoT devices, the continuum between privacy and utility, and how with new models we don't have to choose; new approaches to measurable trust at the edge and how we can bake it all the way into the silicon itself; and finally what we look forward to in the market, what crazy things are coming up including proof of life in blockchain

What are the movements and technologies that make up the new Internet stack? We are joined by Mark Surman, the executive director of the Mozilla foundation and an open source and free Internet activist for decades, to talk about the current landscape with personal data becoming a catalyst for change of the Internet, something larger than simply blockchain or decentralization, but a movement toward a more level playing field and open Internet ecosystem. We talk about: Uber drivers have tried creating "unions" using the power of data access requests (GDPR) Why data access requests cost $1400 per request to comply with and how that may push new innovation Personal AI can emerge to truly represent the individual interests, not corporate interests Personal Data resembles open source in the 90s and how experimentation with new value propositions and ways of using data can create something similar to the establishment of open source as a way of using software New initiatives to process data in the users session, to let data stay with the individual to produce value, such as recommendations

Pace of innovation is making foreseeing the future far more uncertain. Societies stakeholders include not only humans, but also algorithms and artificial intelligence. How does a Government foster innovation and balance it with the right safeguards? This is a discussion about the proposed Agile Governance in Japan. On this podcast episode, we talk to Hiroki Habuka, Deputy Director for Global Digital Governance at the Digital Economy Division of the Ministry of Economy, Trade, and Industry of Japan. We explore how one of the leading economies in the world is adjusting to the emerging technologies that utilize AI. Hiroki was in charge of preparing a policy paper entitled “Governance Innovation: A Guide to Designing and Implementing Agile Governance (Ver. 2)” - an efficient and pragmatic approach to govern newly emerging technologies by incorporating feedback from multiple stakeholders and balancing the competing interests that drive innovation.

How do we design applications for the highest utility for individuals? Do we always need to share data or can we include the data value in that utility and have it remain with the individual? In this podcast episode we explore how with former Information and Privacy Commissioner of Ontario, Canada, Dr. Ann Cavoukian, who in addition to serving three terms as Commissioner, created the Privacy by Design Framework utilized all over the world today. In this episode we discuss: How value can be created by utilizing privacy preserving methods and computation What types of approaches organizations are taking Consumer sentiment and interest, who cares about their data and how its utilized How engineers and device developers can build new innovations and unlock even more value

In this episode we are discussing algorithms, how to democratize access to bespoke modeling, AI/ML. How mid cap and small cap companies can have access to their own algorithms and predictions, and what it would mean for us as individuals to have our own algorithms working for us. We are joined by Peter Cotton, PhD, the Chief Data Officer of Intech Investment Management, a multi billion hedge fund. He is also the Lead developer of the open-source prediction network, search "microprediction". Peter's a trained mathematician, competitive math olympiad and chess player. He talks about the need for comparable support for algorithms to humans, and how we need an "AR" department and "micromanagers", for our algorithms similar to how we humans have "HR departments". About Peter's background and amazing track record. He's developed modeling in financial services such as for closed form synthetic CDO pricing and led Morgan Stanley's efforts to create advanced correlation trading and risk management tools. Peter's led large scale data assimilation techniques in the Fixed Income markets and invented the industry's only real-time, curve-based, bond and CDS pricing service at Julius Finance Corporation, where they priced every bond and CDS every ten seconds. This predated, and gave rise to, BBG:BMRK pricing service. At J.P. Morgan Peter's pioneered the use of control theory for OTC trading. Created the privacy-preserving machine learning program. Created the ROAR crowdsourcing initiative which involved 1500 data scientists.

What comes after being bombarded to death by privacy and GDPR notices? Will consumer have more power over their personal preferences or will they be stuck reading 400s of pages of legalese? Is consumer privacy a choice or is it a burden? Prifina is delighted to introduce Zoe Vilain as our special guest at the fourth episode of the Liberty. Equality. Data. Zoe is currently working as a legal counsel on all matters related to personal data. Previously, she served as Chief Privacy and Strategy Officer for VC backed, consumer privacy startup Jumbo. In this episode, we discuss issues related to fundamental rights revolving around data privacy. Zoe offers a rich and insightful overview of the roots of the contemporary privacy regime which dates back to the 1948 Universal Declaration of Human Rights. Zoe brought a number of arguments in favor of a new international document that would set global standards for consumer privacy and data protection. She Also noted that the COVID-19 crisis raises a number of complex questions about the future of data privacy. Together with Podcast hosts Markus and Paul, Zoe explored the current shifts in the data privacy market and the role that the recent data privacy regulations such as GDPR and CCPA have played on both sides of the Atlantic. The podcast raises a number of questions about the future trends of data privacy; about the burdens and opportunities that could be brought about by adopting new approaches to personal data.

In this episode, we talk to Dr. James Guszca, the Chief Data Scientist at Deloitte USA and a visiting fellow at Stanford’s Center for Advanced Studies in Behavioral Sciences. Jim is a renowned expert in behavioral economics and data science with more than twenty years of experience in data, machine learning, and ethical aspects of AI. During his career, he built some of the first algorithms for the largest insurance companies, held several professorship positions, and published prolific studies on the intersection of human behavior, data, and AI. In this podcast, we focus on the confluence of behavioral insights, machine learning, data science, and AI. We talk about nudges, the value of personal data to individuals, the possibility of aligning corporate interests with the interests of individuals, building new applications that would rely on customer data, and nudge people to make better decisions. Jim explains how Nobel prize-winning behavioral scientists developed the theories of smart disclosures and data ownership to help consumers get better insights and improve their behavior. We talk about the significance of choice architecture and defaults in helping individuals make better decisions about their lives. This podcast is full of practical examples from insurance and health care domains as well as the societal value of data generated by various smart IoT devices and wearables.

In this episode, we talk to Steven Charlap, MD, trained surgeon and the CEO of Soap Health building conversational AI-powered patient and physician facing interface. Previously, Steven was the CEO of HealthDrive Corporation (the largest U.S. provider of medical and dental services to extended care facilities). In this podcast we focus on health data, e.g. new data generated by wearables and direct to consumer genome testing, to generate value on different levels (personal insights, utility for physicians, health-driven incentives and behavior adjustments). The discussion touches on limitations of new devices, incentive structures, the need for holistic understanding of data and the context where data finds itself, and deep focus on the subject whether they are a patient or a consumer.

We talk with Kathy Giori about the state of connected tech and data, and the possibilities and use cases. Kathy has worked on IOT, connected devices and software with a hardware component and talks about her experience with the Mozilla smart home platform and interoperable standards to build connected home setups that are really yours. As she says, she can experience all the value of the connected home "and I don't have to share the data behind my connected (smart home)". We also talk about where this data is, what applications and use cases exist and the balance between convenience and value.