In AI We Trust?: Recent Episodes
Miriam Vogel
In AI We Trust?, is a new podcast with Miriam Vogel of EqualAI and Mark Caine of the World Economic Forum that surveys the global landscape for inspiration and lessons in developing responsible, trustworthy artificial intelligence. Each episode aims to answer a ‘big question' in ethical AI with prominent lawmakers, leading thinkers, and internationally renowned authors.
Tune into this week’s episode of In AI we Trust? with former United States Secretary of Homeland Security, Michael Chertoff, and Lucy Thomson (American Bar Association), to learn the ways in which AI is changing the legal landscape, how the ABA is tackling this issue (spoiler alert: we applaud the launch of the new AI TF), and to learn the Secretary’s “Three D's” of AI governance.
Professor Sarah Hammer, Executive Director at the Wharton School of the U. of Penn and leads Wharton Cypher Accelerator and Dr. Philipp Hacker, Chair for Law and Ethics of the Digital Society at the European New School of Digital Studies at European University join this week on In AI We Trust? to debrief their recent #AIforGood Conference. Listen to the discussion for insights on how financial regulation, sustainability in AI, content moderation, and other opportunities for international collaboration around AI will help advance UN SDG goals.
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Resources Mentioned This Episode:
AI for Good Global Summit
AI for Good Global Summit 2023: Input Statement by Professor Philipp Hacker
Regulating ChatGPT and other Large Generative AI Models
The European AI Liability Directives – Critique of a Half-Hearted Approach and Lessons for the Future
Teaching Fairness to Artificial Intelligence: Existing and Novel Strategies Against Algorithmic Discrimination Under EU Law
Sustainable AI Regulation
Legal and technical challenges of large generative AI models
Regulating ChatGPT and other Large Generative AI Models
In this week’s episode, we are joined by Chair of the U.S. Equal Employment Opportunity Commission (EEOC) Charlotte Burrows, who highlights the EEOC’s work to address AI proliferation in the employment sphere. She discusses the need to increase education of the public on how AI is being used, EEOC guidance on key civil rights bills such as the Americans with Disabilities Act (ADA) and Title VII of the Civil Rights Act of 1964 (Title VII), as well as key points employers should be aware of when deploying AI.
Tune in to this week’s episode of In AI We Trust, where Kevin McKee, Senior Research Scientist at Google DeepMind, discusses issues of AI fairness, AI’s impact on the LGBT+ community, and the balance between developing AI that humans can trust and the anthropomorphization of technology. Kevin leads research projects focused on machine learning, social psychology, and sociotechnical systems and has worked on algorithmic development and evaluation, environment design, and data analysis.
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Resources Mentioned this Episode:
Humans may be more likely to believe disinformation generated by AI
Countries Must Act Now Over Ethics of Artificial Intelligence
Online hate and harassment continues to rise
This week on In AI we Trust? Executive Director of LGBT Tech, Chris Wood, joins Miriam Vogel and guest-co-host Kathy Baxter for a special episode in celebration of Pride Month. Join this week’s conversation on the duality of technology for the LGBT community – how it can be an impactful medium to foster connection in the LGBT+ community or a harmful tool leveraged against the same individuals – the significance of diversity in tech, the complexity of representation in our datasets, as well as his important research and other initiatives that range from broadband access in rural communities to building an AI of their own.
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Resources Mentioned this Episode:
LGBT Tech Website
Vision For Inclusion: An LGBT Broadband Future
LGBT Tech Programs
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 Deputy Secretary Don Graves on how the US intends to maintain leadership in AI, including through its creation of standards to attain trustworthy AI, working with our allies and ensuring an inclusive and ready AI workforce.
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Materials mentioned in this episode:
Proposed Law Enforcement Principles on the Responsible Use of Facial Recognition Technology Released from the World Economic Forum
Artificial Intelligence: Detecting Marine Animals with Satellites (NOAA Fisheries)
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 addresses daily. Carl shares his perspective on the impact of the DoD principles, how governments and companies need to align on the “how” of developing and using AI responsibly, and much more.
Materials mentioned in this episode:
NAIAC Field Hearing @ NIST YouTube Page
“DOD Adopts 5 Principles of Artificial Intelligence Ethics” (Department of Defense)
“Defense AI Technology: Worlds Apart From Commercial AI” (Northrop Grumman)
Smart Toys (World Economic Forum): Smart Toy Awards
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 thousands of machine learning and AI initiatives. Good quality data is imperative for responsible AI (garbage in, garbage out), and part of that equation is making sure that it is sourced inclusively, responsibly, and ethically. When developing and using responsible AI, it’s critically important to get your data right by asking the right questions; for whom is your data performing – and for whom could it fail?
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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 Scientist at Amazon AWS AI, on the LinkedIn AI team, and on Microsoft's AI and Ethics in Engineering and Research (AETHER) Advisory Board. In this episode, Krishanaram warns of the importance of not simply performing the important task of model validation but continuing to test it post deployment. He also highlights incentives to test your AI early and often: even without new laws in place, empowered and tech-savvy citizens are increasingly taking audits into their own hands.
— Subscribe to catch each new episode on Apple, Spotify and all major platforms. To learn more about EqualAI, visit our website: https://www.equalai.org/ and follow us on Twitter: @ai_equal.
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 his trailblazing work in international AI policy and standards, including the development of the first global AI ethics instrument. Dr. Prestes discusses ethics in technology and the infusion of empathy, as well as his focus on establishing human rights for a digital world.
— Subscribe to catch each new episode on Apple, Spotify and all major platforms. To learn more about EqualAI, visit our website: https://www.equalai.org/ and follow us on Twitter: @ai_equal.
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 monthly in their Conversational Cloud. In this episode, Joe shares the broad lens he brings to his work in AI. He discusses the interconnectedness between AI and humanity, and his work at LivePerson to develop “empathetic” AI systems to help brands better connect with their customers. Joe addresses his experience in the EqualAI Badge program and basic challenges in reducing bias in AI, from determining what to measure to whom to consider when evaluating our systems; and asks how much “rat poison” is tolerated in our cereal (AI systems).
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 roadmap for trustworthy AI, including his company's “aspirational” approach to AI governance, their use of an ethics committee, how they use the bottom line to reinforce their goals and other best practices in designing responsible AI use.
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 diversity in tech, Humans for AI. In this episode, Beena explains where organizations (and others) can begin to embed AI ethics as a part of their routine business practice, the importance for policy makers and organizations alike to focus on use cases when building frameworks, and shares others lessons on how to ensure we create more inclusive, trustworthy AI.
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 Hugging
Face ( "to democratize good machine learning") and previously research positions at Google and Microsoft. In
this episode, Dr. Mitchell articulates numerous
challenges in the endeavor to create ethical AI. She also illuminates the
distinction between ethical and responsible AI; the necessity of a
human-centered, inclusive approach to AI development; and the need for policy
makers to understand AI. ----- Subscribe to catch each new episode on Apple, Spotify and all major platforms. To learn more about EqualAI, visit our website: https://www.equalai.org/ and follow us on Twitter: @ai_equal
Rep. Don Beyer (D-VA) is Chair of Congress' Joint Economic Committee and serves on the Ways and Means and the Science, Space and Technology Committees, as well as a member of the AI Caucus- and in his spare time, he is pursuing a Masters Degree in Artificial Intelligence. In this episode, Rep. Beyer explains his enthusiasm for AI and the opportunities it presents to enhance human life -- (e.g., better understanding and treating long covid and preserving life in suicide prevention)-- and the potential harms he is concerned about, as well as the ability of the US Congress to appropriately address these challenges.
Mira Lane, a a polymath, technologist and artist, is the head of Ethics & Society at Microsoft, a multidisciplinary group responsible for guiding AI innovation that leads to ethical, responsible, and sustainable outcomes. In this episode, she shares how the culture at Microsoft includes compassion in AI development to the benefit of their AI products, how she changes the perception of responsible AI from a tax to a value-add and how games can play a role in achieving this goal.----- Subscribe to catch each new episode on Apple, Spotify and all major platforms. To learn more about EqualAI, visit our website: https://www.equalai.org/ and follow us on Twitter: @ai_equal
Dr. Athina Kanioura is Chief Strategy and Transformation Officer at PepsiCo, leading their company-wide transformation in digital strategy. In this episode, Athina opens our eyes to ways that companies like PepsiCo are using AI (and equally important, where they are not). She shares challenges in undergoing a digital transformation and explains their legacy-focused approach to AI integration as a means for greater efficiency as well as instilling better sustainability practices, upskilling employees and supporting small business partners.
Keith Sonderling is a Commissioner of the U.S. Equal Employment Opportunity Commission (EEOC) and helped launch the EEOC's unprecedented Initiative on Artificial Intelligence and Algorithmic Fairness in 2021. In this episode, he shares guidance for employers on building, buying and employing AI programs in HR systems and shares his optimism on the unique opportunity we have at this moment to ensure a significant, positive impact in deploying AI technology.
Subscribe to catch each new episode! Find us on Apple(https://podcasts.apple.com/us/podcast/in-ai-we-trust/id1563248151), Amazon, Spotify and all major platforms. To learn more about EqualAI, visit our website: https://www.equalai.org/ and follow us on Twitter: @ai_equal and LinkedIn (https://www.linkedin.com/company/equalai/?viewAsMember=true). Find the referenced WEF Toolkit on Artificial Intelligence for Human Resources here: https://www.weforum.org/reports/human-centred-ai-for-hr-state-of-play-and-the-path-ahead#report-nav).
Darren Jones is Member of UK Parliament who has chaired the Parliamentary Technology Information and Communications Forum, Parliamentary Commission on Technology Ethics, and Labour Digital. Darren is also the founding chair of the Institute of AI, a global coalition of legislators interested in AI, and he is a member of the World Economic Forum (WEF) Global AI Action Alliance (GAIAA). In this episode, Darren speaks to how legislators need to 'horizon scan' and understand cutting edge tech to translate it into creating more opportunities while reducing risk through laws and regulation. He argues regulation can support 'safety by design', instead of the tendency to retrofit AI trust and safety considerations at the end of the process.
Subscribe to catch each new episode on Apple (https://podcasts.apple.com/us/podcast/in-ai-we-trust/id1563248151), Spotify and all major platforms. To learn more about EqualAI, visit our website: https://www.equalai.org/ and follow us on Twitter: @ai_equal and LinkedIn (https://www.linkedin.com/company/equalai/?viewAsMember=true)
Ziad Obermeyer is a Professor of Health Policy and Management
at the UC Berkeley School of Public Health where he conducts research at the intersection of machine learning, medicine, and health policy. Previously, he was a professor at Harvard Medical School and consultant at McKinsey & Co. He continues to practice emergency medicine in underserved parts of the US and is also a co-founder of Nightingale Open Science, a computing platform giving
researchers access to massive new health imaging datasets. In this episode, you'll hear how he ended up co-authoring the seminal study to identify bias in AI health systems, published in Science in 2019, and whether you should be using his Algorithmic Bias Playbook.
Links to referenced articles and playbook:
http://ziadobermeyer.com/research/
https://www.chicagobooth.edu/research/center-for-applied-artificial-intelligence/research/algorithmic-bias
Jen Gennai is Founder and Director of the Responsible Innovation Group at Google. In her current role leading the Responsible Innovation Group, Jen and her team are responsible for creating and operationalizing Google’s AI Principles. In this episode, Jen shares what responsible AI means to her, lessons learned that inform her perspective from which we all can learn, how AI should or should not be regulated, and the AI innovations on the horizon she is excited to see come to fruition.
Ilana Golbin is a Director in PwC Labs leading projects on Emerging Technology and AI. She is a Certified Ethical Emerging Technologist
and was recently recognized in Forbes as one of 15 leaders advancing Ethical AI. In this episode, Ilana shares the principles she uses to ensure confidence in AI systems used both internally, at PWC, and when advising clients. She explains some of the complexities
in the application of those principles, how responsible AI governance is part of a demonstration of cultural sensitivity and how sci-fi can be a helpful partner in the governance process.
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Spotify and all major platforms. To learn more about EqualAI, visit our website: https://www.equalai.org/
and follow us on Twitter: @ai_equal and LinkedIn (https://www.linkedin.com/company/equalai/?viewAsMember=true).
Renée Cummings is a pioneering AI ethicist, Criminologist, Columbia University Community Scholar, and Founder of Urban AI. Her studies focus on the impact of AI on criminal justice, specifically in communities of color and incarcerated populations. In this episode, you will be inspired by Renee's insights on the impact that AI and data science has on our civil rights, how increasing diversity in AI is fundamental to creating technology that reflects our humanity, and improvements that still need to be made in areas such as trust and accountability. ----- Subscribe to catch each new episode on Apple (https://podcasts.apple.com/us/podcast/in-ai-we-trust/id1563248151), Spotify and all major platforms. To learn more about EqualAI, visit our website: https://www.equalai.org/ and follow us on Twitter: @ai_equal and LinkedIn (https://www.linkedin.com/company/equalai/?viewAsMember=true)
In this episode, Marco
Casalaina, Salesforce’s SVP of Product Management and GM of Einstein, explains how his decades of experience in AI and tech has resulted in his techno-optimism, how an AI
ethicist enhances his work and why he encourages others to join the EqualAI badge program. He also shares his excitement about rapidly developing transforming models but illuminates how this technology will be the next gen ethical AI quandary.-----
Subscribe to catch each new episode on Apple (https://podcasts.apple.com/us/podcast/in-ai-we-trust/id1563248151),
Spotify and all major platforms. To learn more about EqualAI, visit our website: https://www.equalai.org/
and follow us on Twitter: @ai_equal and LinkedIn (https://www.linkedin.com/company/equalai/?viewAsMember=true).
As the Chief AI officer at Stanley Black and Decker (SBD), Mukesh Dalal has helped transform a 178-year-old global manufacturing company’s approach to AI with the vision of delivering $1 billion of value to the company through AI and Analytics. In this week’s episode, Mukesh outlines SBD’s forward-thinking strategy on AI, describes SBD’s journey into the responsible AI space, and foresees that soon all major companies will have Chief AI Officers to harness the business potential and root out risks of AI technology. Subscribe to catch each new episode on Apple, Spotify and all major platforms. To learn more about EqualAI, visit our website: https://www.equalai.org/ and follow us on Twitter: @ai_equal.
Meghna Sinha is the Vice President of AI and Data at Verizon’s AI Center. Before joining Verizon, Meghna was Target’s VP of Data Sciences. In this episode, Meghna posits that data scientists are similar to medical practitioners, affirms that AI must start and end with humans, and shares lessons from the EqualAI Badge Program for Responsible AI Governance. Referenced papers/articles can be found here: WEF Toolkit (https://www3.weforum.org/docs/WEF_Empowering_AI_Leadership_2022.pdf) @VogelMiriam & Robert Eccles article on AI as a necessary part of Board governance (https://corpgov.law.harvard.edu/2022/01/05/board-responsibility-for-artificial-intelligence-oversight/) Meghna’s article offering tips to women in tech: https://www.verizon.com/about/news/top-tips-women-tech
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Kay Firth-Butterfield is a leader in AI governance. Her deep and wide-ranging experience as an entrepreneur, barrister, judge, and now as Head of Artificial Intelligence and Machine Learning and member of the Executive Committee at the World Economic Forum, has established Kay as an internationally recognized expert on the subject. Her numerous titles and awards include being featured in the New York Times as one of 10 Women Changing the Landscape of Leadership. In this episode, Miriam Vogel interviews her co-host, Kay Firth-Butterfield on her long-time commitment to exploring how humanity can equitably benefit from new technologies.
In this episode, cohosts Miriam Vogel and Mark Caine share the conversations and highlights that have inspired them in 2021 and predict what we can expect to see in this space in 2021. We also bid farewell to Mark as he departs the World Economic Forum and takes on new adventures.
Amy Holcroft is the Chief Privacy Officer and VP of Privacy & Info Governance at Hewlett Packard Enterprise (HPE). In this episode, Amy shares how she co-leads the establishment of HPE’s AI Ethics Advisory board and HPE’s AI Ethical Principles. She shares that her work requires resilience and thoughtful governance, and how participation in the EqualAI Badge Program on Responsible AI Governance, in collaboration with the World Economic Forum, supports her and her work at HPE, including a timely session with Cathy O'Neil that she put to good use immediately.
Subscribe to catch each new episode on Apple, Spotify and all major platforms. To learn more about EqualAI, visit our website: https://www.equalai.org/ and follow us on Twitter: @ai_equal
Seth Dobrin is the Global Chief AI Officer of IBM. Seth has spent his career scaling and using existing technologies to address previously intractable problems at scale. In this episode, Seth shares concrete steps he has taken to create a more diverse and trust-based workplace, explains how his PhD in genetics is relevant and helpful to his current work in AI, and breaks down the what, why and how of a human-centered approach to AI.
Subscribe to catch each new episode on Apple, Spotify and all major platforms. To learn more about EqualAI, visit our website: https://www.equalai.org/ and follow us on Twitter: @ai_equal
Kat Zhou is a product designer focusing on integrating ethics into the design of AI systems. She is a leading voice for more inclusive and privacy-respecting approaches to AI, and she has called for greater regulation of AI and more human-centric business models for AI companies. In this episode, we ask Kat how governments, product designers, and corporate decision makers can minimize the harms of AI products – and whether there are any products that should never be developed to begin with.
To learn more about EqualAI, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
Alex Kotran is the co-founder and CEO of the AI Education Project, a non-profit that brings AI-related knowledge and skills to communities that are being impacted by AI and automation. In this episode, Alex highlights how the communities that are most impacted by AI are often the ones with the least access to basic AI knowledge, and how this is creating disparities in access to healthcare, financial services, criminal justice, and more.
To learn more about EqualAI, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
Meg King is the Director of the Science and Technology Innovation Program at the Wilson Center; a non-partisan think tank created by Congress. She leads innovative transnational projects examining the development of emerging technology and related policy opportunities. Her program also provides training seminars for Congressional and Executive branch staff to develop technology knowledge and skills. In this episode, Meg shares context on her recent congressional testimony, the goals of her work at the Wilson Center and lessons we can learn from AI frameworks and policies abroad.
To learn more about EqualAI, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
In this episode, we speak with David Hardoon, a self-proclaimed "data artist." He leads Data and AI efforts at UnionBank Philippines and serves as an external advisor to Singapore's Corrupt Investigation Practices Bureau (CPIB). David has extensive experience in both industry and academia with a PhD in Computer Science and B.Sc. in Computer Science and AI. He weighs in on both the high level concepts surrounding ethics and AI and offers practical steps he uses to support ethical governance with the AI systems under his purview.
To learn more about EqualAI, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
Find out on this week's episode with special guest Congresswoman Yvette Clarke (NY-9th) why she makes AI a top priority in her work to protect vulnerable populations.
To learn more about EqualAI, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
Observers have been skeptical about the ability of the US to lead in AI and establish the necessary framework to ensure its safe and effective development. NIST – the National Institute of Standards and Technology – is responding to that call. In this episode, we speak with Elham Tabassi who is leading NIST's work to support safe and effective Artificial Intelligence. Elham the Chief of Staff in the Information Technology Laboratory (ITL) and serves on the National AI Research Resource Task Force, announced by the White House and the National Science Foundation (NSF) last June. Learn what makes NIST's 'secret sauce' for impactful work (spoiler: it involves you) and participate in the discussion through upcoming workshops and listening sessions: https://www.nist.gov/itl/ai-risk-management-framework/ai-rmf-development-request-information
To learn more about EqualAI, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
Taka Ariga is the first Chief Data Scientist and Director of the Innovation Lab at the U.S. Government Accountability Office (GAO). Stephen Sanford is the Managing Director in GAO’s Strategic Planning and External Liaison team. Taka and Stephen are the authors of the GAO's recently released AI Framework, one of the first resources provided by the U.S. government to help identify best practices and the principles to deploy, monitor and evaluate AI responsibly. In this episode, we ask the AI Framework authors why they took on this initiative and lessons learned that are broadly applicable across industry.
To learn more about EqualAI, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
Vilas Dhar is a technologist, lawyer, and human rights advocate championing a new social compact for the digital age. As President and Trustee of the Patrick J. McGovern Foundation, he is a global leader in advancing artificial intelligence and data solutions to create a thriving, equitable, and sustainable future for all. In this episode we ask Vilas how he arrived at the intersection of AI and philanthropy, and how he thinks philanthropists and civil society can shape a more inclusive and societally beneficial future for AI.
To learn more about EqualAI, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
Steve Mills is a Partner at Boston Consulting Group (BCG), where he serves as Chief AI Ethics Officer and the Global Lead for Artificial Intelligence in the Public Sector. He has worked with dozens of leading companies and government agencies to improve their AI practices, and in this episode he shares some of the key lessons he has learned about how organizations can translate their ethical AI commitments into practical, meaningful actions.
To learn more about EqualAI, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
Julia Stoyanovich is an Assistant Professor in the Department of Computer Science and Engineering at NYU’s Tandon School of Engineering, where she is also the Director of the Center for Responsible AI. Her research focuses on responsible data management and analysis and on practical tools for operationalizing fairness, diversity, transparency, and data protection in all stages of data acquisition and processing. In addition to conducting field-leading research and teaching, Professor Stoyanovich has written several comics aimed at communicating complex AI issues to diverse audiences.
To learn more about EqualAI, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
Dr. Oren Etzioni is Chief Executive Officer at AI2, the Allen Institute for AI, a non-profit that offers foundational research, applied research and user-facing products. He is Professor Emeritus at University of Washington and a Venture Partner at the Madrona Venture Group. He has won numerous awards and founded several companies, has written over 100 technical papers, and provides commentary on AI for The New York Times, Wired, and Nature. In this episode, Oren explains why “machine learning” is a misnomer and some of the exciting AI innovations he is supporting that will result in greater inclusivity.
To learn more about EqualAI, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
Alexandra Reeve Givens is the President & CEO of the Center for Democracy and Technology (CDT). She is an advocate for using technology to increase equality, amplify voices, and promote human rights. Previously, Alexandra served as the founding Executive Director of the Institute for Technology Law & Policy at Georgetown Law, served as Chief Counsel for IP and Antitrust on the Senate Judiciary Committee and began her career as a litigator at Cravath, Swaine & Moore. In this episode, Alexandra explains her unconventional path to the tech space as a lawyer and why she believes technology is the social justice issue of our time.
To learn more about EqualAI, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
Navrina Singh is the Founder & CEO of Credo AI, whose mission is to empower organizations to deliver trustworthy and responsible AI through AI audit and governance products. Navrina serves on the Board of Directors of Mozilla and Stella Labs. Previously she served as the Product leader focused on AI at Microsoft where she was responsible for building and commercializing Enterprise Virtual Agents and spent 12+ years at Qualcomm. In this episode, Navrina shares several insights into responsible AI, including the 3 key elements to building trust in AI and the 4 components of the "Ethical AI flywheel."
To learn more about EqualAI, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
Andrew Burt is a lawyer specializing in artificial intelligence, information security and data privacy. He co-founded bnh.ai and serves as chief legal officer of Immuta. His work has been profiled by magazines like Fast Company and his writing has appeared in Harvard Business Review, the New York Times and the Financial Times. In this episode, we explore the 'hype cycle' of AI where risks are overlooked and the appropriate role of a lawyer as a partner in this space.
To learn more about EqualAI, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
Anima Anandkumar is an accomplished AI researcher in both academia and in industry. She is the Bren professor at Caltech CMS department and director of machine learning research at NVIDIA. Previously, Anima was a principal scientist at Amazon Web Service, where she enabled machine learning on the cloud infrastructure. Anima is the recipient of numerous awards and honors and has been featured in documentaries and articles by PBS, Wired, MIT Technology review, Forbes and many others. In this episode we learn about the “trinity of the deep learning revolution,” how the next generation of AI will bring the “mind & body” together, and the detrimental impacts fostered by a lack of diversity in tech.
To learn more about EqualAI, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
Vivienne Ming is an internationally recognized neuroscientist and AI expert who has pushed the boundaries of AI in diverse areas including education, human resources, disability, and physical and mental health. In this episode, we ask Vivienne how we can ensure that society captures the benefits of AI technologies while mitigating their risks and avoiding harms to vulnerable populations.
To learn more about EqualAI, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
On this episode, we hear from Heather Cox, Chief Digital Health and Analytics Officer at Humana. Heather brings 25 years of experience to the role including having served as Chief Technology and Digital Officer at USAA, and CEO of Citi FinTech at Citigroup. In this episode, Heather shares why she decided Humana should take the EqualAI Pledge to Reduce Bias in AI and how they have restructured their company and partnerships to ensure their AI programs better serve their population, and adhere to the core principle to "do no harm".
To learn more about EqualAI, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
On this episode, we are thrilled to share our conversation with Commissioner Edward Santow of the Australian Human Rights Commission. The Commission recently released the Human Rights and Technology final report, which makes 38 recommendations to ensure human rights are upheld in Australia’s laws, policies, funding and education on AI. We ask him about lessons learned in the 3 year creation of this report and which recommendations are most universally applicable. Learn more about the report here: https://tech.humanrights.gov.au/
To learn more about EqualAI, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
Tess Posner is the CEO of AI4ALL, an organization working to make the technology industry more inclusive and to ensure that AI is developed responsibly. Before joining AI4ALL, she was Managing Director of TechHire at Opportunity@Work, a national initiative launched out of the White House to increase diversity in the tech economy. In this episode, we explore the diversity challenges facing the technology industry and the exciting efforts that AI4ALL is leading to empower diverse young people to join – and improve – one of the most powerful industries shaping society today.
To learn more about EqualAI, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
Sarah Drinkwater is director of the Responsible Technology team at the Omidyar Network where she works to help technologists prevent, mitigate, and correct societal downsides of technology—and maximize positive impact. Priorto Omidyar Network, Sarah was head of Campus London, Google’s first physical startup hub. At Google, Sarah also built and led a global Google Maps community team. She also advised startups and large brands on their social strategy and was a journalist. On this episode we ask, "What is 'Responsible AI' and why don't we have it?"
To learn more about EqualAI, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
In this episode we speak with Tim O'Brien who leads Ethical AI Advocacy at Microsoft. Before joining Microsoft in 2003, Tim worked as an engineer, a marketer and a consultant at startups and Fortune 500 companies. In this discussion, Tim leads us through Microsoft's journey – and his own – to become a leader in the field of AI ethics and answers the questions: what does an AI Ethicist do? And, is there a role for 'white guys' to play in this field?
To learn more about EqualAI, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
Aneesh Chopra served as the first Chief Technology Officer of the United States. He is currently the president of CareJourney, a provider of clinically-relevant analytics that builds a rating system of healthcare networks. He is also the co-founder of a data analytics investment group, Hunch Analytics. Aneesh sits on the Board of the Health Care Cost Institute, a non-profit focused on unbiased health care utilization and cost information. Previously, Aneesh served as Virginia’s Secretary of Technology and wrote of his experience in government and tech in his book "Innovative State: How New Technologies Can Transform Government."
In this episode, Aneesh rates our current state of tech in the US and shares other insights rooted in his experience in state and federal government. (Spoiler: he is no grade inflationist!)
To learn more about EqualAI, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
In this episode, we interview our friend and colleague, Ashley Casovan, Executive Director of Responsible AI Institute, formerly AI Global, a non-profit dedicated to creating practical tools to ensure the responsible use of AI. Previously, Ashley served as Director of Data and Digital at the Government of Canada, where she led research and policy development related to data, open source, and artificial intelligence. Ashley helps us answer the pressing question in AI: should we rely on internal corporate monitoring, government regulation, third party certification, or some combination?
Learn more about the Responsible AI Institute: https://www.responsible.ai/ More information on their upcoming work: https://www.responsible.ai/Whitepaper.pdf
To learn more about EqualAI, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
Dr. Kush R. Varshney is a distinguished research staff member and manager in IBM Research AI at the Thomas J. Watson Research Center where he has conducted cutting edge AI and Machine Learning research for the past ten years. Varshney also serves as co-director of IBM’s Science for Social Good program. Varshney received both a Masters in Science and a Ph.D. in electrical Engineering and Computer Science from MIT. In addition to writing numerous articles on AI, Varshney helped develop AI Fairness 360-a comprehensive open-source toolkit of metrics to check for unwanted bias in datasets and machine learning models. Varshney recently released his book Trust in Machine Learning.
To learn more, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
Rob LoCascio is the founder of LivePerson, Inc. and has been its chief executive officer since its inception in 1995, making him one of the longest-standing founding CEOs of a tech company today. As the inventor of online chat for brands, Rob disrupted the way people communicate with companies around the world. He is a founding member of EqualAI, which works with companies, policy makers, and experts to reduce bias in AI, and the NYC Entrepreneurs Council of the Partnership for New York City. In 2001, Rob started the Dream Big Foundation with its first program, FeedingNYC. As someone who has been on the entrepreneurial journey for over two decades, Rob's mission is to inspire and help others who are on that same path.
To learn more, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
Malcolm Frank is the president of digital business and technology at Cognizant. Malcolm’s influence is wide ranging and evident across media. He has co-authored two best-selling books, “What to Do When Machines Do Everything” (2017) and “Code Halos” (2014) and authored numerous white papers focusing on the Future of Work. A highly sought-after speaker, Malcolm has presented at conclaves across the globe, including the World Economic Forum and the South by Southwest (SXSW) Conference. He is frequently quoted, is the subject of a Harvard Business School case study and was named “one of the most influential people in finance” by Risk Management magazine.
On this episode, we ask Malcolm how companies should navigate the digital age responsibly, with an eye toward increasing use of AI while reducing liability and harms.
To learn more, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
Christo is an Associate Professor in the Khoury College of Computer Sciences at Northeastern University, a member of the Cybersecurity and Privacy Institute and the Director of the BS in Cybersecurity program in the College. He is a faculty associate at the Berkman Klein Center for Internet & Society at Harvard University, and an affiliate member of the Center for Law, Innovation and Creativity at Northeastern University School of Law. His research investigates the sociotechnical systems that shape our lives using a multi-disciplinary approach. You can find more of his talks and cutting edge research here: https://cbw.sh/
To learn more, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
Tune in to this week’s episode of "In AI we Trust?" to hear Dr. Judith Spitz, Founder and Executive Director of Break Through Tech and learn the often missed barrier she identified to getting women into tech and how she fixes it with her organization (hint: look in our own backyards).
Dr. Spitz was previously Chief Information Officer (CIO) of Verizon, and in 2016, devoted herself to helping women break into tech. She launched WiTNY, or the Women in Technology and Entrepreneurship in New York Initiative, and saw a 94 percent increase in the number of women graduating with computer science degrees from CUNY (City University of New York), their academic partner. In 2020, she founded Break Through Tech, which is building on WiTNY’s success in cities around the country, starting with Chicago.
To learn more, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
Kathy Baxter is the principal architect of Ethical AI Practice at Salesforce. She develops research-informed best practices to educate Salesforce employees, customers, and the industry on the development of responsible AI. Prior to Salesforce, she worked at Google, eBay, and Oracle in User Experience Research.
On this episode, we ask Kathy: What are the critical steps to take from an ethics perspective, to ensure your AI product is safe to launch?
To learn more, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
We're excited to share this bonus episode, a recording from the podcast's launch event with special guests Roger McNamee and Congresswoman Yvette Clarke. Representing New York's 9th District, Congresswoman Clarke is a committed champion of fighting bias in AI and other forms of discrimination in tech. Roger McNamee is a longtime investor in tech and author of "Zucked," which sheds light on the dangers of tech that is unfettered and insufficiently regulated.
A special thanks to our friends at the Georgetown University Law Center for hosting this event.
To learn more, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
Meredith Broussard is a computer scientist and data journalism professor at NYU. Her book, "Artificial Unintelligence: How Computers Misunderstand the World," explains the origins of AI and the subtle and not-so-subtle ways that women and people of color were excluded from its genesis.
On this episode, we ask Meredith: What makes unfettered AI so dangerous, and what can we do about it?
To learn more, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
You can read the NSCAI report here: https://www.nscai.gov/2021-final-report/
Bob Work served as the Deputy Secretary of Defense from 2014 to 2017 and has a long history of service in the government and military before then. He is widely known for developing the Third Offset strategy. He is currently President of TeamWork, a consulting firm that specializes in national security affairs. And even more relevant to this discussion - he is the Vice-Chair of the National Security Commission on AI.
To learn more, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
In this episode, Miriam and Mark are joined by Dr. Cathy. O'Neil, a mathematician, data scientist, and author. She is a matriarch in the exploding and significant field of algorithmic bias. Cathy has a Ph.D. in mathematics from Harvard taught at MIT and Barnard. She also founded and runs the algorithmic auditing company Orcaa. She also posted on her popular blog that you should all check out mathbabe.org and her Twitter @mathbabedotorg
To learn more, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal
A farewell episode to EqualAI Advisor, Kurt Campbell asking: How can we apply effective diplomacy strategies to international governance of AI?
Note: Mark officially joins the podcast next episode!
To learn more, visit our website: https://www.equalai.org/
You can also follow us on Twitter: @ai_equal
The EqualAI podcast launches March 10th, subscribe wherever you get your podcasts so you don't miss out!
To learn more, visit our website: https://www.equalai.org/
You can also follow us on Twitter: @ai_equal