What if instead of being on the brink of disaster, we’re on the cusp of a better world? No one can deny the challenges the world faces, from pandemics to climate change to authoritarianism. But pessimism and despair are too easy a response. Each week, Progress Network Founder Zachary Karabell and Executive Director Emma Varvaloucas convene a diverse panel of experts to discuss the central issues of our era, including sustainability, polarization, work, and the economy, and make the case for ...
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continue reading
Content provided by Stanford Law School. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stanford Law School or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
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AI in Government and Governing AI: A Discussion with Stanford’s RegLab
Manage episode 414558807 series 2601021
Content provided by Stanford Law School. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stanford Law School or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
Joining Pam and Rich for this discussion are Professor Daniel Ho and RegLab Fellow Christie Lawrence, JD ’24 (MPP, Harvard Kennedy School of Government).
Dan is the founding director of Stanford’s RegLab (Regulation, Evaluation, and Governance Lab), which builds high-impact partnerships for data science and responsible AI in the public sector. The RegLab has an extensive track record partnering with government agencies like the Environmental Protection Agency, Internal Revenue Service, the U.S. Department of Labor, and Santa Clara County on prototyping and evaluating AI tools to make government more fair, efficient, and transparent. Building on this work, the RegLab also helps agencies strengthen AI governance and operationalize trustworthy AI principles.
Christie, a third-year JD student, worked with RegLab and Stanford’s Innovation Clinic on projects to advise DOL on responsible AI and development practices and to support the work with Prof. Ho on the National AI Advisory Committee, which advises the White House on AI policy. In this interview, we’ll learn about several RegLab projects—and the importance of helping government develop smart AI policy and solutions.
Connect:
- Episode Transcripts >>> Stanford Legal Podcast Website
- Stanford Legal Podcast >>> LinkedIn Page
- Rich Ford >>> Twitter/X
- Pam Karlan >>> Stanford Law School Page
- Stanford Law School >>> Twitter/X
- Stanford Law Magazine >>> Twitter/X
Links:
- Dan Ho >>> Stanford Law School web page
[00:00:00] Chapter 1: Setting the Stage
- Mention of the rapid acceleration of technology and the release of ChatGPT.
- Highlighting the risks associated with AI, such as bias and privacy concerns.
- Discussion on the relationship between AI and governance, including recent developments in AI policy and governance.
- Mention of the Biden administration's executive order on AI and its implications.
[00:03:04] Chapter 2: The Role of Reg Lab and Collaboration with the IRS
- Explanation of the Reg Lab and its purpose.
- Discussion on the need for government agencies to modernize their technology infrastructure.
- Overview of the collaboration with the IRS to improve tax evasion detection using machine learning.
- Discovery of disparities in auditing rates and subsequent IRS reforms.
- Highlighting the intersection of AI, social justice, and government practices.
[00:09:12] Chapter 3: Student Perspective
- Christie Lawrence shares her experience working on AI policy at Stanford Law School.
- Discussion on bridging the gap between policy, law, and technology.
- Impactful work done by students in collaboration with government agencies.
[00:11:38] Chapter 4: AI and Social Justice
- Pam Karlan's experience with AI issues in the Justice Department's Civil Rights Division.
- Examples of algorithmic discrimination and its implications for social justice.
- Discussion on the challenges of addressing AI-related issues in government practices.
[00:23:55] Chapter 5: Future Directions
- Optimism about the future of AI governance and the recent executive order's impact.
- Anticipation of legislative proposals and state-level initiatives in AI regulation.
- Importance of maintaining an open innovation ecosystem and addressing talent gaps in government agencies.
[00:25:55] Chapter 6: Audience Questions
163 episodes
Share
Manage episode 414558807 series 2601021
Content provided by Stanford Law School. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stanford Law School or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
Joining Pam and Rich for this discussion are Professor Daniel Ho and RegLab Fellow Christie Lawrence, JD ’24 (MPP, Harvard Kennedy School of Government).
Dan is the founding director of Stanford’s RegLab (Regulation, Evaluation, and Governance Lab), which builds high-impact partnerships for data science and responsible AI in the public sector. The RegLab has an extensive track record partnering with government agencies like the Environmental Protection Agency, Internal Revenue Service, the U.S. Department of Labor, and Santa Clara County on prototyping and evaluating AI tools to make government more fair, efficient, and transparent. Building on this work, the RegLab also helps agencies strengthen AI governance and operationalize trustworthy AI principles.
Christie, a third-year JD student, worked with RegLab and Stanford’s Innovation Clinic on projects to advise DOL on responsible AI and development practices and to support the work with Prof. Ho on the National AI Advisory Committee, which advises the White House on AI policy. In this interview, we’ll learn about several RegLab projects—and the importance of helping government develop smart AI policy and solutions.
Connect:
- Episode Transcripts >>> Stanford Legal Podcast Website
- Stanford Legal Podcast >>> LinkedIn Page
- Rich Ford >>> Twitter/X
- Pam Karlan >>> Stanford Law School Page
- Stanford Law School >>> Twitter/X
- Stanford Law Magazine >>> Twitter/X
Links:
- Dan Ho >>> Stanford Law School web page
[00:00:00] Chapter 1: Setting the Stage
- Mention of the rapid acceleration of technology and the release of ChatGPT.
- Highlighting the risks associated with AI, such as bias and privacy concerns.
- Discussion on the relationship between AI and governance, including recent developments in AI policy and governance.
- Mention of the Biden administration's executive order on AI and its implications.
[00:03:04] Chapter 2: The Role of Reg Lab and Collaboration with the IRS
- Explanation of the Reg Lab and its purpose.
- Discussion on the need for government agencies to modernize their technology infrastructure.
- Overview of the collaboration with the IRS to improve tax evasion detection using machine learning.
- Discovery of disparities in auditing rates and subsequent IRS reforms.
- Highlighting the intersection of AI, social justice, and government practices.
[00:09:12] Chapter 3: Student Perspective
- Christie Lawrence shares her experience working on AI policy at Stanford Law School.
- Discussion on bridging the gap between policy, law, and technology.
- Impactful work done by students in collaboration with government agencies.
[00:11:38] Chapter 4: AI and Social Justice
- Pam Karlan's experience with AI issues in the Justice Department's Civil Rights Division.
- Examples of algorithmic discrimination and its implications for social justice.
- Discussion on the challenges of addressing AI-related issues in government practices.
[00:23:55] Chapter 5: Future Directions
- Optimism about the future of AI governance and the recent executive order's impact.
- Anticipation of legislative proposals and state-level initiatives in AI regulation.
- Importance of maintaining an open innovation ecosystem and addressing talent gaps in government agencies.
[00:25:55] Chapter 6: Audience Questions
163 episodes
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Similar to Stanford Legal
What if instead of being on the brink of disaster, we’re on the cusp of a better world? No one can deny the challenges the world faces, from pandemics to climate change to authoritarianism. But pessimism and despair are too easy a response. Each week, Progress Network Founder Zachary Karabell and Executive Director Emma Varvaloucas convene a diverse panel of experts to discuss the central issues of our era, including sustainability, polarization, work, and the economy, and make the case for ...
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continue reading
Welcome to Crimetown, a series produced by Marc Smerling and Zac Stuart-Pontier in partnership with Gimlet Media. Each season, we investigate the culture of crime in a different city. In Season 2, Crimetown heads to the heart of the Rust Belt: Detroit, Michigan. From its heyday as Motor City to its rebirth as the Brooklyn of the Midwest, Detroit’s history reflects a series of issues that strike at the heart of American identity: race, poverty, policing, loss of industry, the war on drugs, an ...
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Imperfect Paradise is an award-winning weekly narrative podcast showcasing California stories with universal significance, hosted by Antonia Cereijido. Each deeply reported story is driven by characters who illuminate aspects of American identity and underscore California's reputation as a home for dreamers and schemers, its heartbreaking inequality, its varied and diverse communities, its unique combination of dense cities and wild places. New episodes premiere Wednesdays, with broadcasts o ...
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Redefining AI is the 2024 New York Digital Award winning tech podcast! Discover a whole new take on Artificial Intelligence in joining host Lauren Hawker Zafer, a top voice in Artificial Intelligence on LinkedIn, for insightful chats that unravel the fascinating world of tech innovation, use case exploration and AI knowledge. Dive into candid discussions with accomplished industry experts and established academics. With each episode, you'll expand your grasp of cutting-edge technologies and ...
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continue reading
America is more divided than ever—but it doesn’t have to be. Open to Debate offers an antidote to the chaos. We bring multiple perspectives together for real, nonpartisan debates. Debates that are structured, respectful, clever, provocative, and driven by the facts. Open to Debate is on a mission to restore balance to the public square through expert moderation, good-faith arguments, and reasoned analysis. We examine the issues of the day with the world’s most influential thinkers spanning s ...
…
continue reading
The internet is broken—but it doesn’t have to be. If you’re concerned about how surveillance, online advertising, and automated content moderation are hurting us online and offline, the Electronic Frontier Foundation’s How to Fix the Internet podcast offers a better way forward. EFF has been defending your rights online for over thirty years and is behind many of the biggest digital rights protections since the invention of the internet. Through curious conversations with some of the leading ...
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continue reading
The day's biggest news dissected by the day's newsmakers. Diverse opinions from across the political spectrum. The show that makes you decide, are you the Left, Right or the Centre?
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continue reading
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