Preparing for the future of disinformation and deep fakes
Recent advances in artificial intelligence make it easy to generate believable video and audio. It seems likely that these techniques will see usage in the political arena, where the ability to cheaply generate high fidelity hoaxes might be an attractive option for state and nonstate actors seeking to manipulate discourse and voter behavior.
Journalists, tasked with evaluating the quality of information, will be on the front lines confronting these new threats as they emerge. Learn what tools exist to detect potential fakes, what machine learning can and can’t do, who is fighting the potential spread of synthetic videos and what we can do about it.
This session was sponsored by Knight Foundation. IRE retains control of content, including the topic and speaker selection, for all conference sessions.
Paul Cheung is the director/journalism + technology innovation at the Knight Foundation overseeing investments and initiatives designed to drive transformational change in news media. Cheung has 20 years of experience of digital transformation— pioneering VR360, automation, data journalism, visual strategies and digital training initiatives. He led cross functional teams of journalists and technologists, working at NBC News, AP, The Miami Herald, and WSJ.
Christine Glancey has spent 30 years in The Wall Street Journal newsroom in more than a dozen roles, from news assistant to the masthead. She’s currently a deputy standards editor where she helps safeguard the Journal’s reputation for journalistic integrity. @cglancey
Sam Gregory is Program Director of WITNESS (www.witness.org) which supports anyone, anywhere to use video and technology to fight for human rights. An award-winning technologist and advocate he leads work around emerging opportunities and threats to activism and journalism including AI and deepfakes, innovation in eyewitness video, and challenges to trust and evidence. He is Co-Chair of the Partnership on AI’s Working Group on Social and Societal Good. @samgregory
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