In AI We Trust?

Latest Episodes:

Keith Sonderling, EEOC Commissioner: Does AI scale or reduce bias in the workplace? Mar 31, 2022

Show notes

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).

MP Darren Jones: 'Horizon Scanning' to Design Better AI Regulation Mar 16, 2022

Show notes

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: A physician, academic, McKinsey alum's approach to tackling bias in AI Mar 09, 2022

Show notes

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 (Google): How to Manage the Creation of Responsible AI Products for Billions Mar 04, 2022

Show notes

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 (PwC): Does sci-fi help or hinder AI understanding? Feb 24, 2022

Show notes

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.

----- 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).

Renee Cummings: How AI Does (& Should) Impact Our BHM Celebration Feb 17, 2022

Show notes

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)

Marco Casalaina (Salesforce): Techno-Optimist not a Techno-Chauvinist Feb 11, 2022

Show notes

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).

Mukesh Dalal, Stanley Black & Decker (SBD): Why all companies will need a Chief AI Officer Feb 04, 2022

Show notes

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: Why data scientists are like medical professionals; why ignorance is not an option and steps we all must take when making data-based decisions Jan 27, 2022

Show notes

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 ----- 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 AI we Trust welcomes its acclaimed new cohost, Kay Firth-Butterfield of the World Economic Forum Jan 18, 2022

Show notes

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.

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