In AI We Trust?
In AI We Trust? is a podcast hosted by Miriam Vogel of EqualAI where we survey the global landscape for inspiration and best practices in the AI space with an eye toward responsible, trustworthy AI. Each episode aims to answer a ‘big question’ as we speak to leaders in government, tech and civil society.
- Update frequency
- every 13 days
- Average duration
- 40 minutes
- Episodes
- 111
- Years Active
- 2021 - 2025
Gilman Louie (America’s Frontier Fund, CEO of In-Q-Tel, NSCAI Comm’r): How will we respond to this ‘Sputnik’ moment?
Gilman Louie is CEO and co-founder of America’s Frontier Fund, CEO of In-Q-Tel, and an NSCAI Commissioner. Tune into this week’s episode of In AI We Trust, where Gilman shares his thoughts on the gov…
Rep. Chrissy Houlahan (D-PA): How do we prepare Congress for the age of AI?
Meet one of the Bad A#%* women in Congress, Representative Chrissy Houlahan (D-PA). She is a trailblazer: a strong advocate for and accomplished practitioner in STEAM (science, technology, engineerin…
Dr. Haniyeh Mahmoudian (DataRobot): Who should be involved in AI ethics?
In this episode of In AI We Trust? Dr. Haniyeh Mahmoudian, Global AI Ethicist at DataRobot, provides insight into the timely and critical role of an AI ethicist. Haniyeh explains how culture is a key…
Justin Hotard (Hewlett Packard Enterprise): Are local communities and data the key to unlocking better AI?
Justin Hotard leads the High Performance Computing (HPC) & AI business group at Hewlett Packard Enterprise (HPE). Tune in to In AI we Trust? this week as he discusses supercomputing, HPE’s commitment…
Jordan Crenshaw (U.S. Chamber of Commerce): Can your company survive without AI adoption?
Based on the testimony of 87 witnesses from 5 field hearings across the US, the U.S. Chamber of Commerce bipartisan AI Commission on Competition, Inclusion, and Innovation released a report yesterday…
Elham Tabassi and Reva Schwarz (NIST): What's the big deal about the NIST AI Risk Management Framework (AI RMF)?
Elham Tabassi and Reva Schwartz – two AI leaders from the National Institute of Standards and Technology (NIST) – join us this week to discuss the AI Risk Management Framework #AIRMF released on Janu…
Davos in Review: Should we hit 'pause' on generative AI?
The annual World Economic Forum (WEF) at Davos gathers leading thinkers in government, business and civil society annually to discuss current global economic and social challenges. This week, listen …
Dr. Stuart Russell (UC Berkeley): Are we living in an AGI world?
Dr. Stuart Russell (CS Prof, UC Berkeley) has kept us current on AI developments for decades and in this week’s episode, prepares us for the headlines we’ll hear about this week @Davos and in the com…
2022 Year in Review: Are we ready for what’s coming in AI?
In this special year-in-review edition of "In AI we Trust?", co-hosts Kay Firth-Butterfield (@KayFButterfield) and Miriam Vogel (@VogelMiriam) take a look back at the key themes and insights from the…
Dr. Suresh Venkatasubramanian (White House OSTP/Brown University): Can AI be as safe as our seatbelts?
In this episode, we are joined by Dr. Suresh Venkatasubramanian, a former official at the White House Office of Science and Technology Policy (OSTP) and CS professor at Brown, to discuss his work in …
Joaquin Quiñonero Candela (LinkedIn): Can we meet business goals AND attain responsible AI? (spoiler: we can and must)
This week, Joaquin Quiñonero Candela (LinkedIn, formerly at Facebook and Microsoft) joins us to discuss AI storytelling; ethics by design; the imperative of diversity to create effective AI; and stra…
Deputy Secretary Graves (DOC) answers the question: Can We Maintain Our AI Lead? (spoiler alert: We are AI Ready!)
The Department of Commerce plays a key role in the USG’s leadership in AI given the multiple ways AI is used, patented and governed by the Department. In this special episode, hear from Commerce Depu…
Carl Hahn (NOC): When your AI reaches from the cosmos to the seafloor, and the universe in between, how can you ensure it is safe and trustworthy?
Carl Hahn, Vice President and Chief compliance officer at Northrop Grumman, one of the world’s largest military technology providers, joins us on this episode to help answer this question that he add…
Mark Brayan (Appen): For whom is your data performing?
In this episode, Mark Brayan focuses on a key ingredient for responsible AI: ethically sourced, inclusive data. Mark is the CEO and Managing director of Appen, which provides training data for thousa…
Krishnaram Kenthapadi (Fiddler.ai): Citizen audits are coming; are you ready?
Krishnaram is the Chief Scientist of Fiddler AI, an enterprise startup building a responsible AI and Machine Learning monitoring platform. Prior to Fiddler AI, Krishnaram has served as Principal Scie…
Dr. Edson Prestes: Can we ingrain empathy into our AI?
Dr. Prestes, Professor of Computer Science at the Institute of Informatics, Federal University of Rio Grande do Sul and leader of the Phi Robotics Research Group. In this episode, Dr. Prestes shares …
Joe Bradley (LivePerson): How much 'rat poison' is in our AI and can AI be more "human"?
Joe Bradley is the Chief Scientist at LivePerson, a leading Conversational AI company creating digital experiences that are “Curiously Human”, powering nearly a billion conversational interactions mo…
Dr. Richard Benjamins (Telefonica): What are the key ingredients for a successful Responsible AI Framework?
Dr. Richard Benjamins is Chief AI & Data Strategist at Telefonica, author of The myth of the algorithm and A Data-Driven Company, and co-founder of OdiseIA. In this week’s episode, Richard offers his…
Beena Ammanath (Deloitte): What concrete steps companies can (must) take to achieve trustworthy AI
Beena Ammanath is Executive Director of the Global Deloitte AI Institute, author of Trustworthy AI: A Business Guide For Navigating Trust and Ethics in AI and founder of the nonprofit to increase div…
Dr. Margaret Mitchell: How can we ensure AI reflects our values – and why this matters to each of us?
Dr. Margaret Mitchell is a renowned researcher who has won numerous awards for her work developing practical tools to combine ethics and machine learning. Last
Fall, Dr. Mitchell joined the AI startup…