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Hosted by Fexingo · 🇺🇸 US · EN · 103 episodes
Established thought leaders with verified media credentials.
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 t
Fexingo hosts AI Ethics with Fexingo: Bias, Safety, and Responsible Artificial Intelligence, a business show with 103 episodes published.
Episode 129 explores a surprising source of gender bias in AI language models: parallel Bible translations. Lucas and Luna examine how training multilingual AI on translated scripture—where 'man' often defaults to 'human
In this episode of AI Ethics with Fexingo, Lucas and Luna explore how AI art generators like DALL-E and Midjourney inherit bias from their training datasets, focusing on the LAION-5B dataset and a 2023 study that found 5
In this episode of AI Ethics with Fexingo, Lucas and Luna explore how AI models inherit bias from teacher grading data. They examine a specific 2025 study from Stanford's Center for Education Policy Analysis that found a
In this episode of AI Ethics with Fexingo, Lucas and Luna dive into a surprising source of algorithmic bias: employee performance reviews. They explore how language patterns in reviews — from gender-coded adjectives to r
Episode 125 of AI Ethics with Fexingo takes a hard look at how AI systems in the insurance industry can inherit and amplify bias from historical claims data. Lucas and Luna unpack a specific case from a major auto insure
In this episode of AI Ethics with Fexingo, Lucas and Luna explore a surprising source of bias: when AI models are trained on data generated by older AI systems. They dive into a 2025 study from researchers at Oxford and
In this episode, Lucas and Luna explore how AI hiring tools don't just inherit bias from the resumes they screen—they learn it from the job postings themselves. They walk through a 2025 study from the University of Chica
In this episode of AI Ethics with Fexingo, Lucas and Luna explore how AI models used in court sentencing can inherit racial and socioeconomic biases from historical sentencing data. They focus on the COMPAS algorithm, a
In this episode of AI Ethics with Fexingo, Lucas and Luna explore how reinforcement learning from human feedback (RLHF) can introduce subtle biases into language models. They dive into a real-world example from early 202
In this episode of AI Ethics with Fexingo, Lucas and Luna explore a surprising source of algorithmic bias: satellite imagery. They discuss a 2025 study from Stanford's Center for International Development that found obje
Episode 119 of AI Ethics with Fexingo examines how credit scoring models can inherit and amplify racial and socioeconomic bias. Lucas and Luna dive into a 2025 Federal Reserve study showing that alternative data like uti
In episode 118 of AI Ethics with Fexingo, Lucas and Luna dive into a specific, overlooked source of algorithmic bias: the resume itself. They trace how AI hiring tools inherit prejudice not just from historical decisions
Episode 117 of AI Ethics with Fexingo examines how AI models used in home appraisal and mortgage underwriting have absorbed and amplified historical housing discrimination. Lucas and Luna walk through a specific 2025 stu
Episode 116 of AI Ethics with Fexingo investigates how dynamic pricing algorithms have evolved beyond surge pricing into personalized price discrimination. Lucas and Luna examine a 2026 case study where a major retailer'
In this episode of AI Ethics with Fexingo, Lucas and Luna explore how AI systems are inadvertently learning bias from public transit data. Using a concrete example from the Los Angeles Metro, they show how predictive mai
Episode 114 of AI Ethics with Fexingo dives into a surprising new source of algorithmic bias: smart recycling bins. Lucas and Luna explore how a city's rollout of AI-powered recycling bins in 2024 led to unequal service
In this episode of AI Ethics with Fexingo, Lucas and Luna dive into the hidden biases embedded in predictive policing algorithms. They focus on the controversial case of the PredPol system, which was trained on decades o
In this episode of AI Ethics with Fexingo, Lucas and Luna explore how artificial intelligence is being used in hospital emergency departments to triage patients — and how those models can inherit racial and socioeconomic
In this episode of AI Ethics with Fexingo, Lucas and Luna explore a surprising new source of bias in AI training data: voice chat from online video games. They discuss how millions of hours of toxic, gendered, and racial
Lucas and Luna explore a surprising frontier of AI bias: satellite imagery. When computer vision models trained on overhead photos predict everything from property values to crop yields to crime hotspots, they absorb and
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AI Ethics with Fexingo: Bias, Safety, and Responsible Artificial Intelligence is hosted by Fexingo. The show is categorised under business and has published 103 episodes.
AI Ethics with Fexingo: Bias, Safety, and Responsible Artificial Intelligence has published 103 episodes.
AI Ethics with Fexingo: Bias, Safety, and Responsible Artificial Intelligence regularly covers business. It sits in the business category.
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