Renée DiResta: How to Beat Bad Information
Inadvertent misinformation and outright disinformation have become a scourge on American discourse, but those committed to the truth are keeping pace.
Renée DiResta is research manager at the Stanford Internet Observatory, a multi-disciplinary center that focuses on abuses of information technology, particularly social media.
She’s an expert in the role technology platforms and their “curatorial” algorithms play in the rise and spread of misinformation and disinformation.
Fresh off an intense period keeping watch over the 2020 U.S. elections for disinformation as part of the Election Integrity Partnership, DiResta says the campaign became one of the most closely observed political dramas in American history.
She says that whether it comes from the top down or the bottom up, bad information can be spotted and beaten, but overcoming falsehoods in the future will require vigilance and a commitment to the truth. She explains more on Stanford Engineering’s The Future of Everything podcast, with host Russ Altman. Listen and subscribe here.
Stanford HAI's mission is to advance AI research, education, policy and practice to improve the human condition. Learn more.
Related News
The new center will examine AI's real-world impacts on jobs, teams, and organizational performance.
The new center will examine AI's real-world impacts on jobs, teams, and organizational performance.
More than 200 academic teams submitted proposals to the AI for Organizations Grand Challenge, exploring how artificial intelligence will transform teamwork and collaboration.
More than 200 academic teams submitted proposals to the AI for Organizations Grand Challenge, exploring how artificial intelligence will transform teamwork and collaboration.
HAI Executive Director Russell Wald talks about the AI competition between the U.S. and China, and the advent of “world models” that predict what might happen in real-world environments.
HAI Executive Director Russell Wald talks about the AI competition between the U.S. and China, and the advent of “world models” that predict what might happen in real-world environments.