『AI Ethics with Fexingo: Bias, Safety, and Responsible Artificial Intelligence』のカバーアート

AI Ethics with Fexingo: Bias, Safety, and Responsible Artificial Intelligence

AI Ethics with Fexingo: Bias, Safety, and Responsible Artificial Intelligence

著者： Fexingo
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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 #TechEthics Keep every episode free: buymeacoffee.com/fexingo© 2026 Fexingo. All rights reserved. 経済学
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  • When Your AI Insurance Adjuster Denies Your Claim

    When Your AI Insurance Adjuster Denies Your Claim
    2026/06/06
    Episode 35 of AI Ethics with Fexingo dives into the growing use of artificial intelligence in insurance claims processing. Lucas and Luna examine a specific case: a homeowner whose basement flood claim was automatically denied by an AI model that misread the policy language. The hosts discuss how these systems are trained on historical claims data that may encode racial and socioeconomic biases, leading to disproportionately high denial rates for certain neighborhoods. They explore the lack of transparency in algorithmic underwriting, the difficulty of appealing a decision made by a black-box model, and the regulatory gap that leaves consumers with little recourse. The episode also highlights a recent study showing that AI adjusters are 40 percent more likely to flag claims from predominantly Black and Hispanic zip codes for manual review — often resulting in lower payouts. Lucas and Luna ask whether insurance companies are trading fairness for efficiency, and what a responsible path forward might look like. #AIinInsurance #ClaimsDenial #AlgorithmicBias #InsuranceTech #ConsumerRights #Regulation #BlackBoxAI #Fairness #Transparency #HomeownersInsurance #PropertyClaims #Discrimination #AIEthics #PolicyLanguage #Underwriting #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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    12 分
  • When Your AI Hiring Tool Rejects You Before a Human Sees Your Resume

    When Your AI Hiring Tool Rejects You Before a Human Sees Your Resume
    2026/06/06
    Episode 34 of AI Ethics with Fexingo investigates the growing practice of automated resume screening—where AI systems reject job applicants before any human recruiter ever sees their qualifications. Lucas and Luna examine a 2025 study from Harvard Business School that found 72% of large employers now use some form of AI pre-screening, and drill into the case of a Fortune 500 company whose algorithm systematically downgraded candidates who took career breaks, disproportionately affecting women and caregivers. They discuss the lack of regulatory oversight (the EEOC has issued only non-binding guidance), the technical challenge of bias in training data, and whether 'human-in-the-loop' is a real safeguard or just a comforting myth. The episode closes with a practical question: if you apply to a job and never hear back, how do you even know an AI made the call? #AIEthics #AutomatedHiring #ResumeScreening #AlgorithmicBias #HiringDiscrimination #EEOC #HarvardBusinessSchool #CareerBreaks #GenderBias #CaregiverPenalty #HumanInTheLoop #Transparency #EmploymentLaw #Technology #ArtificialIntelligence #FexingoBusiness #BusinessPodcast #JobSearch Keep every episode free: buymeacoffee.com/fexingo
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    9 分
  • When AI Decides Your Loan with No Human Appeal

    When AI Decides Your Loan with No Human Appeal
    2026/06/05
    Lucas and Luna explore the growing use of fully automated loan underwriting systems that leave borrowers with no human appeal process. They examine a 2025 study from the Consumer Financial Protection Bureau that found 78% of denied loan applicants never learn why their application was rejected by an AI system. The hosts discuss the case of a small business owner in Ohio whose repeat loan applications were automatically denied for eighteen months due to a data error the AI never flagged, and the legal and ethical implications of removing human judgment from lending decisions. They also look at emerging state-level laws requiring explainability and human review, and question whether the efficiency gains justify the loss of accountability. #AIEthics #ResponsibleAI #AutomatedLending #LoanDenial #CFPB #SmallBusiness #DataBias #Explainability #HumanInTheLoop #AlgorithmicAccountability #ConsumerProtection #LendingDiscrimination #Technology #FexingoBusiness #BusinessPodcast #AIandFinance #NoHumanAppeal #OhioSmallBusinessOwner Keep every episode free: buymeacoffee.com/fexingo
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    9 分
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