Ethics and Artificial Intelligence

Artificial Intelligence (AI) offers immense promise to solve some of the world's biggest problems at scale. But advances come with significant challenges that perpetuate and amplify society's underlying structural inequities. To address this challenge directly, the NYU Center for Responsible AI (R/AI) is designed to be a comprehensive applied research and tool production laboratory for accelerating responsible AI practices that arise from real world collaborations.Julia StoyanovichCo-Founder & Director of R/AIJulia Stoyanovich is an Assistant Professor in the Department of Computer Science and Engineering at the Tandon School of Engineering, and the Center for Data Science at NYU.  She is a recipient of an NSF CAREER award and of an NSF/CRA CI Fellowship.  Julia's research focuses on responsible data management and analysis practices: on operationalizing fairness, diversity, transparency, and data protection in all stages of the data  acquisition and processing lifecycle. She established the Data, Responsibly consortium, and serveds on the New York City Automated Decision Systems Task Force (by appointment by Mayor de Blasio).  In addition to data ethics, Julia works on management and analysis of preference data, and on querying large evolving graphs.  She holds M.S. and Ph.D. degrees in Computer Science from Columbia University, and a B.S. in Computer Science and in Mathematics and Statistics from the University of Massachusetts at Amherst.Steven KuyanCo-Founder & Director of R/AI Managing Director, at  Future LabsSteven Kuyan is the director of entrepreneurship at NYU Tandon School of Engineering, co-founder/managing director of the NYU Tandon Future Labs, and co-founder/director of the NYU Center for Responsible AI. The Future Labs support entrepreneurs in technology-specific fields, such as: artificial intelligence, machine learning, augmented/virtual reality, video and virtual machines and has graduated more than 145 companies – 31 as acquisitions totaling more than $600 million – for a combined portfolio valuation of graduates exceeding $2B billion. The NYU Center for Responsible AI is a first of its kind lab designed to be a comprehensive applied research and tool production laboratory for accelerating responsible AI practices that arise from real world collaborations. Steve also oversees entrepreneurship across the campus, including programs commercializing university IP into companies, which includes dozens of success stories that have raised over $100M in venture funding, university wide curricula development, and IP collaborations amongst NYU schools.Resources from this episode:Center for Responsible AI at NYUData Responsibly, Comics: "Mirror, Mirror"Is AI Effective If It Isn't Equitable and Responsible? from Chronicle of Higher EducationNYU Future Labs Hosted on Acast. See acast.com/privacy for more information.

Om Podcasten

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 Twitter @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.