Another Podcast Google Gemini and AI bias
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Mar 3, 2024 Exploring AI biases in Google's Gemini model and the impact of generative AI on content moderation. Delving into challenges like gender biases in resume screening and unintended stereotypes in image recognition. Discussing emotional implications of fake content creation and the evolving landscape of fake news. Highlighting the importance of addressing biases in AI systems and considering regulatory aspects to mitigate unintended consequences.
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Google Gemini's Nazi imagery
- Google's Gemini model showed biases in image generation.
- Asking for "stormtroopers" produced images of people of color in Nazi uniforms.
AI bias is about data, not (just) developers
- AI bias isn't solely due to a lack of diversity among developers.
- It stems from data reflecting existing biases or containing irrelevant patterns.
Google's resume AI bias
- Google's resume-scanning AI downranked women because it was trained on mostly male resumes.
- This highlights how AI can perpetuate existing biases present in data.