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In AI We Trust?

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Jun 15, 2021 • 40min

Heather Cox: Why did our company make a public commitment to equitable AI?

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
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Jun 8, 2021 • 41min

Commissioner Edward Santow: How can tech governance preserve human rights and achieve responsible AI?

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
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Jun 1, 2021 • 32min

Tess Posner: How can we create a more inclusive technology industry?

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
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May 25, 2021 • 30min

Sarah Drinkwater: What is 'Responsible AI' and why don't we have it?

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
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May 18, 2021 • 39min

Tim O'Brien: Is there a role for me in building ethical AI?

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
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May 11, 2021 • 33min

Aneesh Chopra: How would you grade the US government's tech readiness?

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
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May 4, 2021 • 38min

Ashley Casovan: There are tools to help governments and companies reduce bias in AI

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
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Apr 27, 2021 • 38min

Kush Varshney: Can we trust AI?

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
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Apr 20, 2021 • 32min

Robert LoCascio: Why I co-founded EqualAI

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
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Apr 13, 2021 • 37min

Malcolm Frank: How to advise your clients to successfully and responsibly navigate the digital age

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

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