Why is it so easy to switch banks, but so hard to move your photos, playlists, messages, or years of digital history from one platform to another?

In this episode of The People’s AI, presented by the Vana Foundation, we explore the foundational reasons of why data portability matters. Starting with the simple frustration of thousands of photos stuck in an old software ecosystem, we unpack the bigger issue of platform lock-in and why so much of our digital life is still difficult to move.

We look at how companies benefit when users cannot easily leave, how APIs and closed systems helped create this problem, and why privacy concerns and the race to collect data for AI have made portability even harder. We also examine what regulators in Europe and Canada are trying to do about it, why open banking stands out as a rare success story, and why the next big portability battle may involve AI memory, chat history, and personal context moving between tools.

Guests

• Peter Swire — Research Director, Cross-Border Data Forum; J.Z. Liang Chair, School of Cybersecurity & Privacy, Georgia Tech; Professor of Law and Ethics, Scheller College of Business
• Lisa Dusseault — CTO, Data Transfer Initiative
• Brad Callaghan — Associate Deputy Commissioner, Competition Bureau of Canada
• Pınar Özcan — Professor of Entrepreneurship and Innovation, Saïd Business School, Oxford University

The People’s AI is presented by the Vana Foundation, supporting a new internet rooted in data sovereignty and user ownership, where individuals, not corporations, govern their own data and share the value it creates. Learn more at Vana.org.

What if the future of AI in healthcare depends less on better models and more on whether patients can actually access their own data?

In this episode of The People’s AI, presented by the Vana Foundation, we explore why health data portability is not just a bureaucratic headache, but a foundational issue for better care, better research, and better AI. We begin with the story of Liz Salmi, who discovered just how difficult it was to access and move her own medical records after years of treatment for brain cancer. That experience became the starting point for a bigger conversation about patient rights, siloed health systems, and the real-world consequences of inaccessible data.

From there, we examine how better access to health records can help patients catch errors, ask better questions, and become more active participants in their own care. We also look at the larger implications for medicine itself: how fragmented data limits research, weakens AI models, and slows the development of more personalized treatments.

We then dig into the idea of digital twins in healthcare, with insights from Jim St.Clair, Reinhard C. Laubenbacher, Ph.D., and Dr. Matthew DeCamp. Together, they help explain how digital models of the body could eventually support more precise diagnostics, treatment planning, and preventive care, but only if the underlying data is portable, usable, and governed in ways that respect privacy and patient ownership.

It is a conversation about medical records, interoperability, digital twins, precision medicine, and the broader question of who controls health data in an AI-driven future.

Topics covered:

• Liz Salmi’s story of navigating brain cancer and inaccessible medical records
• Why patient access to records can improve care and reduce errors
• The role of data portability in healthcare innovation
• How siloed data weakens AI models and medical research
• What digital twins in medicine actually are, and how they could work
• Why personalized medicine depends on better, more connected data systems
• The tension between privacy, access, and patient ownership of data

The People’s AI is presented by the Vana Foundation, supporting a new internet rooted in data sovereignty and user ownership, where individuals, not corporations, govern their own data and share the value it creates. Learn more at Vana.org.

What happens when the biggest questions about AI stop being theoretical and start shaping jobs, education, truth, power, and even what it means to be human.

In this episode of The People’s AI, presented by the Vana Foundation, we explore ten of the biggest questions on the future of AI. We examine whether AI will create abundance or accelerate job displacement, whether it will improve education or weaken critical thinking, and how societies should think about AI safety, misinformation, deepfakes, human relationships, power dynamics, AGI, and creativity. Rather than offering one simple answer, this conversation maps the major tensions that will define the next phase of AI.

Key moments:

[00:00:00] Steve Brown frames AI as a transition into a possible post-work era of service and exploration
[00:02:17] Question 1: what AI could mean for jobs, labor, and the economy
[00:05:25] Kevin Surace argues AI is driving the cost of content creation and knowledge work toward zero
[00:10:24] Derek Rydall on why both optimism and disruption may be true, depending on timing
[00:12:15] Question 2: is AI on an exponential path or approaching a limit
[00:14:09] Question 3: how AI could reshape education, homework, testing, and personalized learning
[00:17:18] Why higher education may need to rethink curriculum, pedagogy, and AI use in the classroom
[00:20:25] Derek Rydall’s warning about cognitive atrophy and using AI as a crutch
[00:22:58] Question 4: how to think about AI safety, guardrails, and real-world risks
[00:25:30] James Bellingham on AI, cybersecurity, economic threats, and why misuse matters more than sci-fi scenarios
[00:30:11] Question 5: how AI companions, assistants, and home robots may affect human relationships
[00:32:01] Question 6: AI power dynamics, inequality, sovereignty, and who benefits most
[00:34:11] The geopolitical race for AI power and why AI capability may concentrate in a few countries and companies
[00:37:29] Derek Rydall on AI as both a force for concentration and a tool for individual leverage
[00:40:00] Question 7: what happens if AI reaches AGI or superintelligence
[00:43:19] Question 8: misinformation, deepfakes, and navigating a world where synthetic media gets harder to detect
[00:45:42] Question 9: how AI may change human creativity, cognition, and identity
[00:51:17] Question 10: the unknown unknowns, and why everyone needs to help shape the future we want

Guests:

Steve Brown — AI Futurist
Kevin Surace — AI Futurist
Derek Rydall — Author, A Whole New Human
James Bellingham — Executive Director, IAA at Johns Hopkins

The People’s AI is presented by the Vana Foundation, supporting a new internet rooted in data sovereignty and user ownership, where individuals, not corporations, govern their own data and share the value it creates. Learn more at Vana.org.