Twisted Words: Ep. 13: Is AI Learning Truth—or Our Biases?

In the final episode of Twisted Words, host Connie Morris examines how artificial intelligence learns from human language, media, and historical data—and whether it inherits the same biases, stereotypes, and social conditioning that shaped those sources.

The episode explores real-world consequences like predictive policing, digital redlining, and facial recognition errors, and calls for ethics, transparency, and diverse data to ensure AI reflects fairness rather than amplifying past injustices.

Thank you for listening to The Morris Perspective Podcast with Connie Morris.

To hear more episodes, explore related content, and continue the conversation, visit my Podpage:
https://www.podpage.com/dashboard/the-morris-perspective-podcast/

You can also go deeper into these conversations by checking out my books, Rethinking Implicit Bias and The Propaganda of Racism. These books expand on the same themes discussed in this podcast, including race, bias, language, systems, perception, and the power of narratives.

For questions, speaking inquiries, or connections, contact:
themorrisperspectivepodcast@gmail.com

Stay empowered, stay in the know, and stay knowledgeable.