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
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What is AI Ethics with Fexingo: Bias, Safety, and Responsible Artificial Intelligence?
AI Ethics with Fexingo: Bias, Safety, and Responsible Artificial Intelligence is a business podcast hosted by Fexingo, with 179 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.
About the host
Fexingo hosts AI Ethics with Fexingo: Bias, Safety, and Responsible Artificial Intelligence, a business show with 179 episodes published.
Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.
Episode #184
How AI Cures Become Biased By Design
Sep 13, 20269 minS4
We examine the specific case of IBM's Watson for Health Oncology, which failed because its training data reflected historical treatment patterns rather than clinical best practices. This episode explores how algorithmic bias in medical diagnostics creates a feedback loop where AI reinforces past prejudices instead of correcting them. We look at the technical reasons why diverse datasets are harder to curate and what it means for patient safety when algorithms learn from imperfect human records. The conversation covers the ethical obligations of tech companies building healthcare tools and why transparency in model training is not just a technical requirement but a moral one. #AI Ethics #Healthcare Technology #Algorithmic Bias #Watson For Health #Medical Diagnostics #Data Fairness #Tech Responsibility #IBM #Clinical Trials #Digital Health #Machine Learning #Patient Safety #FexingoBusiness #BusinessPodcast #Tech News #FutureOfWork #Innovation #Ethical AI Keep every episode free: buymeacoffee.com/fexingo
How AI Audits Fail Because Humans Trust Them Too Much
Sep 12, 202610 minS4
In this episode, we examine the dangerous gap between algorithmic accuracy and human trust in automated decision-making. Using recent findings from the Consumer Financial Protection Bureau and case studies in hiring software, we explore why 'explainable AI' often fails to prevent bias when humans override or ignore algorithmic warnings. Lucas and Luna discuss the psychological concept of automation bias, the legal liabilities of black-box decisions, and how organizations can design better oversight frameworks that actually work. #AIEthics #AutomationBias #ResponsibleAI #TechPolicy #BusinessStrategy #HumanComputerInteraction #AlgorithmicFairness #CorporateGovernance #DigitalTrust #FexingoBusiness #BusinessPodcast #TechnologyTrends #RiskManagement #EthicalLeadership #DataPrivacy #WorkforceDevelopment #ConsumerProtection #LucasAndLuna Keep every episode free: buymeacoffee.com/fexingo
We examine how generative AI models, trained on vast corpora of internet text, inadvertently amplify socioeconomic disparities by favoring standard dialects and penalizing non-standard speech patterns. Using the case of a major tech firm’s internal communication tool that flagged informal workplace language as unprofessional, we explore the tension between linguistic diversity and corporate efficiency standards. The episode dissects why this bias matters for remote work policies and hiring practices in September 2026, offering listeners a concrete look at how algorithmic neutrality is often just an illusion of majority-rule grammar. #AIEthics #LinguisticBias #SocioeconomicInequality #GenerativeAI #WorkplaceCulture #TechPolicy #NaturalLanguageProcessing #StandardEnglish #DialectBias #RemoteWork #HiringPractices #AlgorithmicFairness #CorporateGovernance #DigitalEquity #FexingoBusiness #BusinessPodcast #TechTrends2026 #ResponsibleAI Keep every episode free: buymeacoffee.com/fexingo
We look at the hidden cost of artificial intelligence: energy consumption. Lucas and Luna examine how training large language models impacts data centers and power grids, using specific metrics on water usage and electricity demand to show why this matters for businesses and investors right now. #FexingoBusiness #BusinessPodcast #AIEthics #TechSustainability #DataCenterEnergy #GreenComputing #AIInfrastructure #CarbonFootprint #PowerGrids #WaterUsage #CorporateESG #ClimateTech #EnergyEfficiency #CloudComputing #TechPolicy #RenewableEnergy #AIModelTraining #SiliconValley Keep every episode free: buymeacoffee.com/fexingo
We examine the unintended consequences of aggressive content filtering in enterprise AI models, using a specific case where over-zealous safety guardrails caused a major logistics firm to miss critical supply chain risks. This episode explores the trade-off between safety and utility, discussing how companies are now implementing 'safety tuning' reviews that prioritize contextual nuance over blanket bans, and why the cost of false positives is becoming a boardroom issue as of September 2026. #AIEthics #ResponsibleAI #ContentFiltering #FalsePositives #EnterpriseAI #SafetyTuning #SupplyChainRisk #LucasAndLuna #FexingoBusiness #BusinessPodcast #TechPolicy #AIAlignment #CorporateStrategy #OperationalEfficiency #ModelBias #RiskManagement #DigitalTransformation #September2026 Keep every episode free: buymeacoffee.com/fexingo
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