Artificial Intelligence: Practice and Implications for Journalism
We have witnessed the first wave of artificial intelligence (AI) in journalism in the form of chatbots, automated story generation, and machine learning techniques applied to news. The big tech companies have pushed AI to the center of their product strategies. How far along is the news business in incorporating these tools into the newsroom, and understanding the broad implications for journalism?
Columbia University’s Tow Center for Digital Journalism and Brown Institute for Media Innovation are excited to present a conference on”Artificial Intelligence: Practice and Implications for Journalism” on June 13. The conference will feature leading journalists, technologists, legal scholars and academics in conversation around the current and near future applications, challenges, and legal implications of AI implementation in newsrooms.
1:00pm Welcome Address from Steve Coll (Columbia Journalism School)
1:15pm Exploring the Ethics of the AI Powered Products
With Angela Bassa (iRobot), Jerry Talton (Slack), Amanda Levendowski (NYU), Madeleine Clare Elish (Columbia University), Gilad Lotan (Buzzfeed), John Keefe (Quartz), moderated by Nick Diakopoulos (University of Maryland)
2:15pm Future Ethical Dilemmas: Joshua Benton (Nieman Journalism Lab) in conversation with Rachita Chandra (IBM Watson Health)
2:45pm AI in the Newsroom: Technology and Practical Applications
With Sam Bowman (NYU), Marc Lavallee (The New York Times), Sasha Koren (The Guardian Mobile Innovation Lab), Judith Donath (Berkman Center), Meredith Whittaker (Google Open Research / AINow), moderated by Christopher Mims (The Wall Street Journal)
3:30pm Closing Remarks from Emily Bell (Tow Center for Digital Journalism)