In AI We Trust?

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