đ Episode SummaryBias in AI isn't a future problemâit's happening right now. In this powerful third episode of our âMay I Learn About AI?â series, Dr. JR and AI ethics researcher Casey Brightman explore how artificial intelligence can unintentionally (and sometimes dangerously) reflect the biases of its human creators.We dig into real-world stories, from biased healthcare algorithms and hiring tools to flawed facial recognition and education software. Along the way, we explain how bias creeps into data, how it impacts real people, and what governments, businesses, and researchers are doing to push back.This Motherâs Day episode reflects on the values of fairness and careâasking if our AI systems can be built to uphold them, and what role we play in shaping a more equitable digital future.đ What Youâll LearnWhat AI bias actually is (hint: itâs not about feelingsâitâs about patterns)How training data and algorithm design can unintentionally lead to unfair outcomesReal-world consequences of AI bias in healthcare, hiring, policing, and educationHow emerging policies like the EU AI Act and NYC Local Law 144 are tackling the issueGlobal efforts in countries like India and Canada to build more inclusive AIBias in generative AI tools like GPT and DALL¡Eâand how it shapes creativityWhat you can do to advocate for fairness and accountability in AI systemsđ Mentioned In This EpisodeAlgorithmic Justice League â https://www.ajl.orgUNESCO Recommendation on AI Ethics â https://unesdoc.unesco.orgNYC Local Law 144 â https://www.nyc.gov/assets/dca/downloads/pdf/about/LL144.pdfEU AI Act â https://digital-strategy.ec.europa.eu/en/policies/european-approach-artificial-intelligenceBlack in AI â https://blackinai.github.ioBolukbasi et al. (2016) on word embeddings biasObermeyer et al. (2019) on healthcare algorithms and racial biasđŁ Call to ActionAsk questions about how AI is used in your workplace or school.Advocate for transparency and fairness in tech tools.Support ethical AI organizations pushing for accountability.Stay tuned next week for our final episode: Can AI Be Creative?
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