● 일시: 1월 21일 (목) 오후 12시 30분 ~ 2시


● 접속 링크: https://snu-ac-kr.zoom.us/j/89018180843



● 발표자: Seth C. Lewis 교수 (University of Oregon)



● 주제: What is AI for in Journalism? Cases, Concepts, and Normative Consequences



● 초록: Much has been written about the role and influence of artificial intelligence (and related forms of algorithms and automation) in contemporary media and society, including the implications of “communicative AI” for how we understand human-machine forms of communication. By this point, too, much research has begun to explore the possibilities and perils of such emerging technologies for journalism, often with an emphasis how certain tools and techniques might alter the production and distribution of news. But in these useful case studies, comparatively less attention has been paid to the issue of normativity: of what AI should do journalism, and toward what larger social purposes. As such, this talk will provide an overview of what we know so far, and offer some conceptual entry points based conceptual frameworks such as Human-Machine Communication. But even more, it will seek to offer a normative intervention for our study of AI and journalism —e that is rooted in questions of what journalism (and, by extension, journalistic AI) might do for democracy at a political inflection point for many Western societies.



● 연사 소개: Seth C. Lewis is Professor, Director of Journalism, and the founding holder of the Shirley Papé Chair in Emerging Media in the School of Journalism and Communication at the University of Oregon (USA). He is a fellow with the Tow Center for Digital Journalism at Columbia University, an affiliate fellow of the Information Society Project at Yale Law School, and a 2019-2020 visiting fellow at the University of Oxford’s Reuters Institute for the Study of Journalism. He leads the International Communication Association's Journalism Studies Division, the world's largest group dedicated to scholarly research about journalism. Lewis' research focuses the social implications of emerging technologies, with emphasis what such dynamics mean for journalism—from how news is made (news production) to how people make sense of it in their everyday lives (news consumption).