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Assembly Required with Stacey Abrams
Do You See What I See? Building AI for All of Us
Dec 26, 2024
Joy Buolamwini, an AI researcher and artist known for her impactful work on algorithmic bias and founder of the Algorithmic Justice League, joins the conversation. They dive deep into the dangers of bias in artificial intelligence, especially in facial recognition technologies. Joy highlights the need for equitable data to combat existing inequalities and discusses actionable steps individuals can take to engage with AI responsibly. They also explore global regulatory approaches and the crucial balance between innovation and privacy.
46:28
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Quick takeaways
- The urgent need for AI regulation is underscored by potential societal inequalities exacerbated by unregulated technology amidst a dismissive political climate.
- Dr. Joy Buolamwini's concept of the 'coded gaze' highlights how biases in AI arise from non-inclusive datasets, necessitating diverse data collection.
Deep dives
The Urgent Need for AI Regulation
Artificial intelligence (AI) presents both significant potential and considerable risks, necessitating the establishment of regulatory frameworks. Industry leaders, including the CEO of OpenAI, have emphasized that preventing existential risks associated with AI should be prioritized on a global scale, alongside other pressing issues like pandemics and nuclear threats. Despite these warnings, meaningful government action regarding AI regulation remains lacking, particularly with the forthcoming administration which appears dismissive of the associated dangers. The discussions surrounding regulation become more urgent in light of these administrations, as unregulated AI could exacerbate existing societal inequalities.
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Discover
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Listen to the best highlights from the podcasts you love and dive into the full episode