They pledged billions to fight racism. Then they fired the people hired to stop their AI from being racist. 🤖⚖️ We investigate the AI Civil Rights Crisis. We break down the "Dual Narrative" of Silicon Valley: the 2020 promises to fund HBCUs and diversify hiring versus the 2024 reality of gutted DEI departments and the firing of key AI Ethics researchers. We analyze the NIST Framework which admits that AI is not neutral—it is a mirror that amplifies historical trauma.

1. The $4 Billion Paradox: Pledges vs. Purges. We analyze the hypocrisy. We discuss the massive financial commitments made by companies like Google, Microsoft, and Apple after 2020. We contrast this with the systematic dismantling of AI Ethics teams (like the exit of Timnit Gebru and Margaret Mitchell) and the defunding of internal DEI programs, asking if the check was just "reputation insurance".

2. The "Pipeline" Lie: It’s not a supply problem. We expose the data. We investigate the industry's favorite excuse: "we can't find the talent." We reveal statistics showing that while recruitment from HBCUs increased, Retention collapsed. Diverse talent is entering the building but leaving due to toxic internal cultures and "revolving door" tokenism, proving the pipeline isn't broken—the bucket is leaking.

3. The Bias Engine: The code is historical. We explore the NIST report. We discuss the NIST AI Risk Management Framework, which officially recognizes that algorithmic bias isn't a glitch—it's a feature of using historical data. If you train an AI on 50 years of discriminatory lending data, you don't get a neutral banker; you get a digital redliner.

The full list of sources used to create this episode can be found on our Patreon under https://www.patreon.com/c/Morgrain