AI Bias at Scale: How to Detect It, Prevent It, and Fix It
カートのアイテムが多すぎます
カートに追加できませんでした。
ウィッシュリストに追加できませんでした。
ほしい物リストの削除に失敗しました。
ポッドキャストのフォローに失敗しました
ポッドキャストのフォロー解除に失敗しました
AI Bias at Scale: How to Detect It, Prevent It, and Fix It
-
ナレーター：
-
著者：
A tech company’s résumé‑screening AI, trained on a decade of biased hiring decisions, began replicating discrimination by downgrading candidates for signals such as “women’s” or “alumni of women’s colleges.” This episode explores why algorithmic bias happens, how it hides behind accuracy, the fairness paradox of competing definitions, and practical steps organizations must take: measurement, governance, diverse teams, and ongoing monitoring.
Nakel Nikiema leads a panel of experts in engineering, governance, ethics, and architecture to explain detection and mitigation techniques, legal and ethical responsibilities, and what real commitment to fairness looks like in practice, because bias in models isn’t a bug, it’s what they learn from history.
Watch The B.I. Channel TV on Roku
Watch The B.I. Channel TV on Amazon Fire TV
https://www.thebichannelradio.com | https://www.thedaillybiinsignt.com | https://www.bichanneltv.com |info@thebimcorporation.us | https://www.thebimcorporation.us | info@bimcorporations.com
#AIBias #AlgorithmicBias #AIFairness #ResponsibleAI #EthicalAI #FairAI #BiasInAI #AIEthics #AIAccountability #ArtificialIntelligence #GenAI #MachineLearning #EnterpriseAI #BiasDetection #FairnessInAI #AIGovernance #DiversityInTech #InclusiveAI #TechEthics #AIForGood #ThoughtLeadership #BusinessPodcast #TheDailyBIInsight #TheIntelligenceEdge #BIChannelTV