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Neural network technology is rapidly advancing to be able to synthesize new content, whether that be videos, images, audio or texts, that is at times almost indistinguishable from human-authored content. This session will provide a state-of-the-art overview of capabilities in this space, as well as discussion and debate about potential application in journalism and challenges that synthesized content poses for tasks like reporting and fact-checking. Attendees of the session will come away with a better understanding of where the technology is headed and how it could affect journalism in the near future.
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