Dr. Julia Stoyanovich is Institute Associate Professor of Computer Science and Engineering, Associate Professor of Data Science, Director of the Center for Responsible AI, and member of the Visualization and Data Analytics Research Center at New York University. She is a recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE) and a Senior member of the Association of Computing Machinery (ACM). Julia’s goal is to make “Responsible AI” synonymous with “AI”. She works towards this goal by engaging in academic research, education and technology policy, and by speaking about the benefits and harms of AI to practitioners and members of the public. Julia’s research interests include AI ethics and legal compliance, and data management and AI systems. Julia is engaged in technology policy and regulation in the US and internationally, having served on the New York City Automated Decision Systems Task Force, by mayoral appointment, among other roles. She received her M.S. and Ph.D. degrees in Computer Science from Columbia University, and a B.S. in Computer Science and in Mathematics & Statistics from the University of Massachusetts at Amherst.Links:<a href="https://engineering.nyu.edu/faculty/julia-stoyanovich" rel="noopener noreferrer" target="_blank">https://engineering.nyu.edu/faculty/julia-stoyanovich</a> <a href="https://airesponsibly.net/nyaiexchange_2025/" rel="noopener noreferrer" target="_blank">https://airesponsibly.net/nyaiexchange_2025/</a><hr> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.

Dr. Julia Stoyanovich is Institute Associate Professor of Computer Science and Engineering, Associate Professor of Data Science, Director of the Center for Responsible AI, and member of the Visualization and Data Analytics Research Center at New York University. She is a recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE) and a Senior member of the Association of Computing Machinery (ACM). Julia’s goal is to make “Responsible AI” synonymous with “AI”. She works towards this goal by engaging in academic research, education and technology policy, and by speaking about the benefits and harms of AI to practitioners and members of the public. Julia’s research interests include AI ethics and legal compliance, and data management and AI systems. Julia is engaged in technology policy and regulation in the US and internationally, having served on the New York City Automated Decision Systems Task Force, by mayoral appointment, among other roles. She received her M.S. and Ph.D. degrees in Computer Science from Columbia University, and a B.S. in Computer Science and in Mathematics & Statistics from the University of Massachusetts at Amherst. Links: https://engineering.nyu.edu/faculty/julia-stoyanovich https://airesponsibly.net/nyaiexchange_2025/ Hosted on Acast. See acast.com/privacy for more information.

Dr. Julia Stoyanovich is Institute Associate Professor of Computer Science and Engineering, Associate Professor of Data Science, Director of the Center for Responsible AI, and member of the Visualization and Data Analytics Research Center at New York University. She is a recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE) and a Senior member of the Association of Computing Machinery (ACM). Julia’s goal is to make “Responsible AI” synonymous with “AI”. She works towards this goal by engaging in academic research, education and technology policy, and by speaking about the benefits and harms of AI to practitioners and members of the public. Julia’s research interests include AI ethics and legal compliance, and data management and AI systems. Julia is engaged in technology policy and regulation in the US and internationally, having served on the New York City Automated Decision Systems Task Force, by mayoral appointment, among other roles. She received her M.S. and Ph.D. degrees in Computer Science from Columbia University, and a B.S. in Computer Science and in Mathematics &amp; Statistics from the University of Massachusetts at Amherst.Links:<a href="https://engineering.nyu.edu/faculty/julia-stoyanovich" rel="noopener noreferrer">https://engineering.nyu.edu/faculty/julia-stoyanovich</a> <a href="https://airesponsibly.net/nyaiexchange_2025/" rel="noopener noreferrer">https://airesponsibly.net/nyaiexchange_2025/</a> Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer">acast.com/privacy</a> for more information.

Greedy Algorithms, Public Goods: Rethinking AI Regulation and Education

Technology

Education

Kids & Family

The show is about learning with technology, the realities and exciting potential. Enjoying the show? Please take a moment to rate us, and leave a review wherever you've accessed the podcast. Find our listener survey at facebook.com/nosuchthingpodcast drop a like on the page while you're there. The music in this podcast was produced by Leroy Tindy, a guest in episode zero. You can find him on SoundCloud at AirTindi Beats. The podcast is produced by Marc Lesser. Marc is a specialist in the fields of digital learning and youth development with broad experience designing programming and learning environments in local and national contexts. Marc recently served as Youth Studies Practitioner Fellow at City University of New York, and leads a team of researchers and technologists for NAF (National Academy Foundation). Marc is the co-founder of Emoti-Con NYC, New York's biggest youth digital media and technology festival, and in 2012 was named a National School Boards Association “20-to-Watch” among national leaders in education and technology. Connect with Marc on BlueSky @malesser, or LinkedIn. What's with the ice cream truck in the logo? In the 80's, Richard E. Clark at University of Southern California set off a pretty epic debate based on his statement that "media are mere vehicles that deliver instruction but do not influence student achievement any more than the truck that delivers our groceries causes changes in nutrition." * So, the ice cream truck, it's a nod to Richard Clark, who frequently rings in my ear when I'm tempted to take things at face value. "Is it the method, or the medium?" I wonder. The title, No Such Thing, has a few meanings. Mostly, it emphasizes the importance of hard questions as we develop and document the narrative of "education" in the US. For Richard E. Clark, the question is whether there's such a thing as learning from new technologies. For others, it might be whether there's a panacea for the challenges we face in this field. Whatever your question, I hope that it reminds you to keep asking--yourself, your learners, others--what's working and how so. * Clark, R. E. (1983) Reconsidering Research on Learning From Media. Review of Educational Research 53(4) 445-459. Hosted on Acast. See acast.com/privacy for more information.

The show is about learning with technology, the realities and exciting potential.Enjoying the show? Please take a moment to rate us, and leave a review wherever you've accessed the podcast. Find our listener survey at<a href="https://www.facebook.com/nosuchthingpodcast" rel="noopener noreferrer"> facebook.com/nosuchthingpodcast</a> drop a like on the page while you're there.The music in this podcast was produced by Leroy Tindy, a guest in episode zero. You can find him on SoundCloud at <a href="https://soundcloud.com/airtindibeats" rel="noopener noreferrer">AirTindi Beats</a>.The podcast is produced by Marc Lesser.&nbsp;Marc is a specialist in the fields of digital learning and youth development with broad experience designing programming and learning environments in local and national contexts. Marc recently served as Youth Studies Practitioner Fellow at City University of New York, and leads a team of researchers and technologists for NAF (National Academy Foundation).Marc is the co-founder of Emoti-Con NYC, New York's biggest youth digital media and technology festival, and in 2012 was named a National School Boards Association “20-to-Watch” among national leaders in education and technology. Connect with Marc on BlueSky<a href="https://twitter.com/malesser" rel="noopener noreferrer"> @malesser</a>, or <a href="https://www.linkedin.com/in/marclesser/" rel="noopener noreferrer">LinkedIn</a>. What's with the ice cream truck in the logo?&nbsp;In the 80's, Richard E. Clark at University of Southern California set off a pretty epic debate based on his statement that "media are mere vehicles that deliver instruction but do not influence student achievement any more than the truck that delivers our groceries causes changes in nutrition." * So, the ice cream truck, it's a nod to Richard Clark, who frequently rings in my ear when I'm tempted to take things at face value. "Is it the method, or the medium?" I wonder.The title,&nbsp;No Such Thing,&nbsp;has a few meanings. Mostly, it emphasizes the importance of hard questions as we develop and document the narrative of "education" in the US. For Richard E. Clark, the question is whether there's such a thing as learning&nbsp;from&nbsp;new technologies. For others, it might be whether there's a panacea for the challenges we face in this field. Whatever your question, I hope that it reminds you to keep asking--yourself, your learners, others--what's working and how so.* Clark, R. E. (1983) Reconsidering Research on Learning From Media.&nbsp;Review of Educational Research 53(4) 445-459. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer">acast.com/privacy</a> for more information.

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Greedy Algorithms, Public Goods: Rethinking AI Regulation and Education

Greedy Algorithms, Public Goods: Rethinking AI Regulation and Education

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NO SUCH THING