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| rowid | event_id | name | clean_description | location_room | start_date_clean | start_time | end_time | pre_reg_flag | paid_flag | laptop_flag | speakers_cleaned | session_type | keywords | skill_level | session_title |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 175 | 4159 | 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. | 10 | 2019-03-07 | 2019-03-07 16:45:00 | 2019-03-07 17:45:00 | 0 | 0 | 0 | Paul Cheung, Knight Foundation (moderator); Christine Glancey, The Wall Street Journal; Sam Gregory, Witness; Tim Hwang, Harvard University; | 1 | disinformation; fakes | 3 | Preparing for the future of disinformation and deep fakes |