{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/5985c925950a13467cfb1e04/6070a3ce31461027b0fd2812?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Ethics and Artificial Intelligence","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/5985c925950a13467cfb1e04/1617991913847-3cb69c3a63cd305dbf1835b2a30b7497.jpeg?height=200","description":"<p>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 <a href=\"https://airesponsibly.com/#whatWeDo\" rel=\"noopener noreferrer\" target=\"_blank\"><strong>NYU Center for Responsible AI (R/AI)</strong></a> is designed to be a comprehensive applied research and tool production laboratory for accelerating responsible AI practices that arise from real world collaborations.</p><p><br></p><p><img 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\"></p><p><strong>Julia Stoyanovich</strong></p><p><em>Co-Founder &amp; Director of R/AI</em></p><p>Julia 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.&nbsp; She is a recipient of an NSF CAREER award and of an NSF/CRA CI Fellowship.&nbsp; 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&nbsp; 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).&nbsp; In addition to data ethics, Julia works on management and analysis of preference data, and on querying large evolving graphs.&nbsp; 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.</p><p><img 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\"></p><p><strong>Steven Kuyan</strong></p><p><em>Co-Founder &amp; Director of R/AI</em> </p><p><em>Managing Director, at&nbsp; Future Labs</em></p><p>Steven 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.</p><p><br></p><p><strong>Resources from this episode:</strong></p><p><a href=\"https://airesponsibly.com/\" rel=\"noopener noreferrer\" target=\"_blank\">Center for Responsible AI at NYU</a></p><p><a href=\"https://dataresponsibly.github.io/comics/\" rel=\"noopener noreferrer\" target=\"_blank\">Data Responsibly, Comics: <em>\"Mirror, Mirror\"</em></a></p><p><a href=\"https://sponsored.chronicle.com/is-responsible-effective-and-equitable-ai-possible/index.html\" rel=\"noopener noreferrer\" target=\"_blank\"><em>Is AI Effective If It Isn't Equitable and Responsible?</em> from Chronicle of Higher Education</a></p><p><a href=\"https://engineering.nyu.edu/research-innovation/entrepreneurship/nyu-tandon-future-labs\" rel=\"noopener noreferrer\" target=\"_blank\">NYU Future Labs</a></p><p><br></p><p><br></p>","author_name":"Marc Lesser"}