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One of the most anticipated technologies of the future is AI. What will it be? What will it do? How will we react? But, before we can anticipate sentiency, which we will discuss in this episode,  we must train AI to do its jobs. However, that requires properly organized data sets, a new topic in the town square. If AI is to imitate the data it is given, how do we determine what data to give it? This is a looming question in the fog of the future as the data we train AI with today creates our relationship with this unknown tech tomorrow and, in many ways, shapes the future we will soon inherit. Join me as I examine this with my friend, Sarah Newman (Full bio below).  (Check out my 100th episode special with Sarah Newman here)

Topics-

• Data Sets and Data Nutrition - Why and How the data of today shapes the future of AI tomorrow
• AI and Sentiencey- Will it happen?
• Artificial General Intelligence
  • What is it?
  • The current state of AGI
  • The future of AGI
• Value Alignment - Before we give AI our values, we must determine what our values are
  • Universal values - Are there such things?
  • Ultimate purpose - Does man have an ultimate purpose?
• What books have had an impact on you?
• What advice do you have for teenagers?

Sarah Newman is Director of Art & Education at metaLAB at Harvard, at the Berkman Klein Center for Internet & Society. Working at the intersection of research and art, her work engages with technology’s role in human experience, and interrelations between complex systems. In addition to her art practice, she is also an educator, and leads creative workshops to address interdisciplinary research problems. Her research in artificial intelligence and related technologies investigates how emerging technologies embed and mirror historical social and ethical challenges. Newman is Co-Founder of the Data Nutrition Project, which designs tools and practices for responsible AI development. She holds a BA in Philosophy from Washington University in St. Louis and an MFA in Imaging Arts from the Rochester Institute of Technology. Newman's work has been exhibited in New York, San Francisco, Berlin, Rome, and London, and she has held artist residencies in Germany, Sweden, and Italy.  Newman has previously been an AI Grant Fellow, a Harvard Assembly Fellow, a Fellow at the Berkman Klein Center for Internet & Society, a Fellow at the Royal Society of Art, a Rockefeller AI Bellagio Resident, an artist-in-residence at Northeastern School of Law, and a grantee of the National Endowment for the Arts; with the Data Nutrition Project, she was awarded the 2022 Ars Electronica Award for Digital Humanity.

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