Home
Categories
EXPLORE
True Crime
Comedy
Business
Society & Culture
Sports
History
Fiction
About Us
Contact Us
Copyright
© 2024 PodJoint
00:00 / 00:00
Sign in

or

Don't have an account?
Sign up
Forgot password
https://is1-ssl.mzstatic.com/image/thumb/Podcasts221/v4/35/f7/93/35f793d0-0901-848a-b246-404b72ccf292/mza_13786451383695389714.jpg/600x600bb.jpg
Me, Myself and AI
Let CaseyBe
25 episodes
1 day ago
Me, Myself, and AI is a podcast where I use today’s most powerful AI tools to dig into the stories, ideas, and forces shaping our world. From economics to culture, housing to innovation, I explore what matters through the lens of a 30-something Black Canadian woman—professional, creative, and curious. It’s part research, part reflection, and part storytelling: a space where data meets lived experience, and where technology becomes a tool for deeper understanding.
Show more...
News Commentary
News
RSS
All content for Me, Myself and AI is the property of Let CaseyBe 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.
Me, Myself, and AI is a podcast where I use today’s most powerful AI tools to dig into the stories, ideas, and forces shaping our world. From economics to culture, housing to innovation, I explore what matters through the lens of a 30-something Black Canadian woman—professional, creative, and curious. It’s part research, part reflection, and part storytelling: a space where data meets lived experience, and where technology becomes a tool for deeper understanding.
Show more...
News Commentary
News
https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_nologo/41987770/41987770-1725851253993-51fe8ff4bb134.jpg
Tech’s Pay Gap Exposed: The Truth About Racial Disparities and DEI
Me, Myself and AI
30 minutes 55 seconds
8 months ago
Tech’s Pay Gap Exposed: The Truth About Racial Disparities and DEI

In this deep-dive episode, we explore how Google came to settle a $28 million class-action lawsuit for underpaying Latinx, Indigenous, and Native employees—and why Black employees were pursuing separate legal action. We unpack the data, the leaked spreadsheets, the whistleblowers, and how this landmark case was proven. Then we zoom out and look at similar patterns across Meta, Amazon, Microsoft, Apple, and others. Finally, we investigate the rollback of DEI (Diversity, Equity & Inclusion) programs in the U.S. and Canada. Are companies backing away from racial equity? Were these programs ever enough? And who actually benefited? This episode pulls from legal documents, internal testimony, and a balanced mix of media and academic sources to reveal the real story behind the pay gaps in tech.


⸻


Sources Cited in the Episode:


Legal & Primary Documents:

• Class-action lawsuit Cantu v. Google (California Superior Court)

• April Curley’s federal lawsuit against Google

• U.S. Department of Labor v. Oracle (OFCCP complaint)

• EEOC complaints filed against Facebook

• National Labor Relations Board documents (Apple pay transparency case)


Media Outlets – Left & Center:

• Reuters

• The Guardian

• Black Enterprise

• TechCrunch

• Fortune

• NPR

• Time

• CNBC

• People of Color in Tech (POCIT)

• ClassAction.org


Media Outlets – Right & Balanced Perspectives:

• Fox Business (coverage of anti-DEI shareholder push and state backlash)

• Wall Street Journal (commentary on DEI performance)

• Resourceful Finance Pro


Academic & Policy Reports:

• McKinsey & Company – “Race in the Workplace” & DEI outcomes reports

• Harvard Business Review – Research on diversity program effectiveness (Dobbin & Kalev)

• EEOC (Equal Employment Opportunity Commission) – 2023 tech sector diversity report

• Statistics Canada – Racial pay gap data and employment equity outcomes

• Conference Board of Canada – Reports on DEI and representation in the Canadian workforce

Me, Myself and AI
Me, Myself, and AI is a podcast where I use today’s most powerful AI tools to dig into the stories, ideas, and forces shaping our world. From economics to culture, housing to innovation, I explore what matters through the lens of a 30-something Black Canadian woman—professional, creative, and curious. It’s part research, part reflection, and part storytelling: a space where data meets lived experience, and where technology becomes a tool for deeper understanding.