AI Ethics with Fexingo: Bias, Safety, and Responsible Artificial Intelligence
- No. of episodes
- 94
- Latest episode
- 2026-07-06
Where can you listen?
Spotify
Podtail
Google Podcasts
RSS
Every week, Lucas and Luna sit down at the library table to examine the real-world consequences of artificial intelligence — not the sci-fi futures, but the decisions being coded into systems today. This show is about bias in hiring algorithms that screen out qualified candidates before a human sees a résumé; safety failures in autonomous vehicles that misclassify pedestrians; and the regulatory scramble to define fairness when no one agrees on what 'fair' means. Lucas brings the research: the 2023 AI Incident Database report, the EU AI Act's tiered risk framework, the ProPublica investigation into recidivism algorithms. Luna pushes back with the practical questions: who audits these systems, what happens when an AI's training data contains centuries of systemic prejudice, and whether a code of ethics matters if it can't be enforced. Together, they avoid the hype and the panic, focusing instead on the specific trade-offs engineers and policymakers face. This is for listeners who want to understand why a self-driving car struck a pedestrian in Tempe, Arizona, or why Amazon scrapped its AI recruiting tool, or how facial recognition errors disproportionately affect certain communities — and who are looking for the nuance behind the headlines. You'll leave each episode with a clearer sense of what responsible AI actually requires, and why the hardest problems aren't technical but human.#AIEthics #BiasInAI #AIandSociety #ResponsibleAI #AlgorithmicBias #AISafety #AIPolicy #EUSAI #AIGovernance #Fairness #Discrimination #MachineLearning #AIPodcast #Technology #BusinessPodcast #FexingoBusiness #DailyBusinessPodcast #TechEthicsKeep every episode free: buymeacoffee.com/fexingo