This third program in our AI series focused on the critical issue of inherent biases in AI technologies, especially as they are deployed in law enforcement, healthcare, government, and education. We took a look at how these biases manifest and their profound implications.
All content for ALOUD @ Los Angeles Public Library is the property of Los Angeles Public Library and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
This third program in our AI series focused on the critical issue of inherent biases in AI technologies, especially as they are deployed in law enforcement, healthcare, government, and education. We took a look at how these biases manifest and their profound implications.
Writer/Scholar/Target: Online Harassment and the Threat to Free Expression
ALOUD @ Los Angeles Public Library
1 hour 9 minutes 9 seconds
2 years ago
Writer/Scholar/Target: Online Harassment and the Threat to Free Expression
Around the world, writers and journalists have been increasingly targeted for their work by waves of online harassment. From the missives of QAnon, to the rise of hate speech on Twitter, and the use of doxxing to weaponize an adversary’s personal information, our political context is building a perfect storm of harassment with ever-shifting targets. Join best-selling author Reza Aslan (An American Martyr in Persia: The Epic Life and Tragic Death of Howard Baskerville, Zealot: The Life and Times of Jesus of Nazareth) and Black List founder Franklin Leonard for a conversation on the polarized climate in the United States, amidst the movement for human rights in Iran, and around the world. Together, they will discuss how antagonism in online spaces within this fractious moment launches outwards into offline reality, and the insidious impact of harassment on writers, scholars, and creators. Moderated by author and journalist Jean Guerrero.
ALOUD @ Los Angeles Public Library
This third program in our AI series focused on the critical issue of inherent biases in AI technologies, especially as they are deployed in law enforcement, healthcare, government, and education. We took a look at how these biases manifest and their profound implications.
