Algorithmic Bias in AI : What is it and Why does it matter ? 73402u

🎧 Watch Video on YouTube : https://www.youtube.com/@shreyas768 As AI continues to shape decisions in hiring, finance, healthcare, and beyond, there's a growing concern about algorithmic bias—when machines learn from flawed data and end up making unfair or discriminatory decisions. In this episode, we break down: What algorithmic bias really means How biased training data, flawed design, and proxy attributes contribute Shocking real-world examples—from biased resume screening to discriminatory mortgage rates Actionable strategies to reduce bias in AI systems We’ll also explore the importance of diverse datasets, human oversight, and inclusive development teams in building fair, transparent, and responsible AI. 🌐 Website: https://www.shreyshukla.com/ 💼 LinkedIn: https://www.linkedin.com/in/shreyas768/ 🎧 Audiobooks on Spotify: https://open.spotify.com/show/1dUzmPWk2Ua9Q0uDCJpR3U 🎵 Audiobooks on YouTube Music: https://music.youtube.com/channel/UCxsa4SRe-CsQFDa09XHy9cg?si=9rT2A1C6o1o4etBa 2x675g