Menu
Sign In Search Podcasts Charts People & Topics Add Podcast API Pricing
Podcast Image

CAPE ON - A TECH ACTIVIST PODCAST

A.I. & LGBTQ + Bias: Addressing Inclusivity in Algorithms

19 Dec 2023

Description

Welcome to "Cape On," the podcast where technology meets social justice, hosted by Christian Ortiz. In this thought-provoking fourth episode of our first season, we delve into the intricate world of Artificial Intelligence and its intersection with LGBTQ+ biases. Join us as we explore how AI, a tool shaping our everyday lives, can unintentionally perpetuate deep-rooted biases against the LGBTQ+ community. From misgendering users on social media apps to failing to recognize non-binary identities, we examine the subtle yet significant ways AI algorithms reflect and reinforce societal prejudices. This episode isn't just about uncovering the flaws in our digital systems; it's a journey towards understanding and change. We discuss the importance of diverse data in programming, the need for empathy in AI development, and the pivotal role of inclusive design in transforming technology from a source of bias to a force for good. Christian Ortiz brings his unique perspective, blending profound insights with relatable anecdotes. He challenges listeners to rethink their relationship with AI and emphasizes the role everyone has in shaping a more inclusive digital future. Whether you're a tech enthusiast, an advocate for LGBTQ+ rights, or simply curious about the intersection of AI and social justice, this episode is a must-listen. Tune in to "Cape On" and be part of the conversation on how we can harness AI's potential to celebrate, not marginalize, the richness of human diversity. [Available Now on Spotify - Cape On, S1E4: A.I. & LGBTQ+ Bias: Addressing Inclusivity in Algorithms]

Audio
Featured in this Episode

No persons identified in this episode.

Transcription

This episode hasn't been transcribed yet

Help us prioritize this episode for transcription by upvoting it.

0 upvotes
🗳️ Sign in to Upvote

Popular episodes get transcribed faster

Comments

There are no comments yet.

Please log in to write the first comment.