{"podcast":{"title":"Nexus Institute for Work and AI: The Debate","slug":"nexus-institute-for-work-and-ai-the-debate-7782572","podcast_index_feed_id":7782572,"rss_url":"https://feeds.megaphone.fm/niwaitd","website_url":"https://wrkdefined.com/podcast/nexus-institute-for-work-and-ai-the-debate","image_url":"https://megaphone.imgix.net/podcasts/2f88b80e-a4da-11f1-9685-2f4c662cddea/image/c59eb3ff7bcc36fdbc740d5075665f01.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress","author":"WRKdefined","episode_count":105,"summary":"Where cutting-edge research meets real conversation. Join us as we debate the findings from the Nexus Institute—exploring how AI is reshaping work, leadership, and organizations. Each episode brings rigorous insights to life through dynamic discussion, helping you navigate technological transformation while building workplaces where innovation and human potential flourish together.","last_synced_at":"2026-09-30T16:18:15.170889+00:00","page_url":"https://stenobird.com/podcast/nexus-institute-for-work-and-ai-the-debate-7782572"},"episode":{"title":"A Debate about When Algorithms Inherit Bias: Auditing AI Systems for Fairness","slug":"a-debate-about-when-algorithms-inherit-bias-auditing-ai-systems-for-fairness","published_at":"2026-08-10T06:00:00+00:00","page_url":"https://stenobird.com/podcast/nexus-institute-for-work-and-ai-the-debate-7782572/a-debate-about-when-algorithms-inherit-bias-auditing-ai-systems-for-fairness","show_page_url":"https://stenobird.com/podcast/nexus-institute-for-work-and-ai-the-debate-7782572","url":"https://traffic.megaphone.fm/DIRED4791078694.mp3","audio_url":"https://traffic.megaphone.fm/DIRED4791078694.mp3","summary":"This research examines the systemic problem of algorithmic bias in critical fields like employment, finance, and criminal justice. It argues that AI tools are not neutral observers but sociotechnical artifacts that frequently inherit and amplify human prejudices through biased training data. Beyond outlining the legal and ethical risks of these failures, the research provides evidence-based strategies for organizations to improve fairness. These solutions include pre-deployment impact assessments, continuous monitoring, and the use of diverse, cross-functional teams to oversee system development. Ultimately, the research emphasizes that sustained governance and transparency are essential to prevent AI from entrenching structural inequalities. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.","meta_description":"This research examines the systemic problem of algorithmic bias in critical fields like employment, finance, and criminal justice. It argues that AI tools…","key_points":[],"chapters":[],"topics":[],"duration_seconds":1649,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/nexus-institute-for-work-and-ai-the-debate-7782572/episodes/a-debate-about-when-algorithms-inherit-bias-auditing-ai-systems-for-fairness/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/nexus-institute-for-work-and-ai-the-debate-7782572/a-debate-about-when-algorithms-inherit-bias-auditing-ai-systems-for-fairness.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}