Thursday, June 22, 2023

Seattle University Sinegal Center for Science & Innovation
901 12th Avenue Seattle, WA 98122
12 p.m. – 5:30 p.m.
Register for Conference

conference theme
Will Intelligent Machines Prepare the Next Workforce? Three Perspectives:


Rapidly emerging technologies are already reshaping workforce preparation as artificial agents inform, provoke, influence, and facilitate change. The rise of machine learning raises ethical concerns surrounding the values-laden nature of human-to-human knowledge transfer.

At Seattle University’s 2023 Ethics and Technology Conference we will hear three perspectives, exploring the role of AI in preparing workers for short- and long-term success, the implications for the shifting educational landscape, and the potential impact of intelligent machines on tomorrow’s workforce. Join the thought-provoking discussion as together we tackle the big question: will intelligent machines take over the jobs of the very workers they train?

Meet the Speakers

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Blaise Agüera y Arcas
vp & fellow at google research

A photo of Blaise Agüera y Arcas VP & Fellow at Google Research

Blaise Agüera y Arcas is a VP and Fellow at Google Research, where he leads an organization working on basic research and new products in Artificial Intelligence. He is the inventor of Federated Learning, an approach to training neural networks without compromising data privacy, and many of the AI features in Android and Pixel phones were developed by his team. Blaise also founded Google’s Artists and Machine Intelligence program, and has been an active participant in cross-disciplinary dialogs about AI and ethics, fairness and bias, policy, and risk. In 2008, he was awarded MIT’s TR35 prize. He has given TED talks on Seadragon and Photosynth (2007, 2012), Bing Maps (2010), and machine creativity (2016), and written widely read essays on art and technology, physiognomy and bias in AI. He has written a novella, Ubi Sunt, and his recent articles and op-eds express heterodox views on current hot topics in AI.


Fr. Paolo Benanti
rome call for ai ethics advisor to pope francis
professor, pontificia università gregoriana 

A photo of Fr. Paolo Benanti

Paolo Benanti, born in Rome (Italy), on 20 July 1973, has been a Franciscan of the Third Order Regular since 1999. His studies have included engineering (La Sapienza), as well as philosophy and theology (Lateran, Gregorian), with special interest in ethics and moral theology; his doctorate was in the area of bioethics. Professor of Moral Theology, Bioethics and Neuroethics at the Gregorian. He is a member of the Task Force on Artificial Intelligence of the Agenzia per l'Italia Digitale and the Prime Minister’s Office. The author of many academic and more popular articles, he has recently published the books Postumano, troppo postumano. Neurotecnologie e human enhancement, Castelvecchi, Roma 2017, and, Oracoli. Tra algoretica e algocrazia, Luca Sossela Editore, Roma 2018.


Lori Lewis
operations leader of the technology trust ethics (tte), deloitte ai institute

a photograph of Lori Lewis

Lori Lewis is the Operations Leader of the Technology Trust Ethics (TTE)  team at Deloitte where she is focused on advancing Ethical and Trustworthy Technology. Prior to her TTE role, Lori led the Deloitte AI Institute for Government amplifying Deloitte’s messaging in the market and connecting across the government AI ecosystem.


Roundtable Moderator: Daniel Kluttz
director of sensitive uses
office of responsible ai at microsoft

A photo of Daniel Klutzz

Daniel leads Microsoft’s Sensitive Uses of AI program in its Office of Responsible AI. In that role, he has built the Sensitive Uses team that advises engineers, product managers, and legal affairs professionals on Microsoft’s most critical and sensitive AI-driven products. In addition to product consulting, Daniel drives responsible AI strategy, develops governance programs, and advances policies so that Microsoft delivers on its responsible AI principles and innovates responsibly. Daniel’s unique background as an attorney and sociologist informs his work bridging the legal, societal, and technical dimensions of developing and deploying AI at scale.

 

Schedule of Events