Episode 95 of AI Ethics with Fexingo explores the growing use of AI in hiring that scrapes candidates' social media and hobby data to infer personality traits. Lucas and Luna dissect a real case from 2025: a tech startup used a third-party AI tool that analyzed LinkedIn profiles and Instagram photos to predict 'cultural fit', leading to biased screening against older applicants and those with niche interests. They discuss why 'fit' often masks discrimination, the legal gray zone under EEOC guidelines, and how candidates can protect their data. Fresh angle—beyond resume screening into personality inference.

#AIEthics #HiringBias #PersonalityInference #SocialMediaScreening #Discrimination #EEOC #CulturalFit #Privacy #AIinHR #TechEthics #DataPrivacy #WorkplaceBias #RecruitmentTech #AIandWork #AlgorithmicBias #FexingoBusiness #BusinessPodcast #Technology

Keep every episode free: buymeacoffee.com/fexingo

In this episode, Lucas and Luna explore how alternative credit scoring models are quietly turning your social media activity, shopping habits, and even your phone's battery level into creditworthiness signals. They focus on a 2025 Consumer Financial Protection Bureau report that found 45 million Americans are 'credit invisible' or have unscorable records, and how startups like Nova Credit and Petal are using non-traditional data — but also how this opens the door to discrimination and privacy invasion. The hosts discuss a specific case from March 2026 where a woman in Ohio was denied a car loan because an AI model flagged her as 'high risk' based on her following of certain TikTok creators. They ask: when does financial inclusion become surveillance? And who sets the rules for these black-box scores?

#AIEthics #CreditScoring #AlternativeData #FinancialInclusion #Privacy #CFPB #NovaCredit #Petal #SocialMediaScoring #AlgorithmicBias #ConsumerRights #FairLending #Technology #FexingoBusiness #BusinessPodcast #AIandSociety #DataPrivacy #Fintech

Keep every episode free: buymeacoffee.com/fexingo

Episode 93 of AI Ethics with Fexingo: Lucas and Luna investigate how banks are using AI to scan applicants' social media posts for 'reputational risk.' They focus on a 2025 study from the Federal Reserve Bank of Philadelphia that found AI models denied loans to 12% more applicants based on non-financial data like Instagram photos and Twitter threads. The hosts break down how a single tweet about gambling or a vacation photo can tank your credit score equivalent by 50 points, even if your finances are pristine. They discuss the regulatory gap: the Equal Credit Opportunity Act hasn't been updated since 1976, and the AI models are essentially judging character without legal standards. Luna shares a case from a fintech startup that used AI to flag 'high-risk' behavior—and why the CFPB is now investigating. The episode also explores whether consumers have any right to know what digital footprint is being used against them, and what the EU's new AI Act means for lending algorithms. A focused, unsettling look at the new creditworthiness.

#AIEthics #FexingoBusiness #BusinessPodcast #Technology #ArtificialIntelligence #AI #MachineLearning #CreditScoring #SocialMedia #LoanDenial #Fintech #Regulation #CFPB #FederalReserve #ConsumerProtection #Bias #DataPrivacy #AlgorithmicFairness

Keep every episode free: buymeacoffee.com/fexingo

Episode 92 of AI Ethics with Fexingo explores a subtle but pervasive source of bias in artificial intelligence: the job descriptions companies use to train their hiring algorithms. Lucas and Luna unpack a 2025 study from the AI Now Institute that found AI models trained on real job postings from Fortune 500 companies consistently penalized resumes with non-traditional education paths, gaps in employment, and names associated with minority groups. The hosts walk through how this happens — from data collection to model deployment — and discuss what companies like IBM and Unilever are doing to audit their systems. They also touch on the tension between automation efficiency and fairness, and ask whether the current regulatory framework in the US is equipped to address these hidden biases. A concrete, data-driven conversation about a problem that affects millions of job seekers every year.

#AIEthics #HiringBias #JobDescriptions #AIHiring #AlgorithmicBias #AIRegulation #WorkplaceAI #AIAudit #FairHiring #AIResponsible #TechEthics #LaborMarket #AIStudy #BiasDetection #AIGovernance #Tech #FexingoBusiness #BusinessPodcast

Keep every episode free: buymeacoffee.com/fexingo

Episode 91 of AI Ethics with Fexingo investigates a growing workplace problem: AI-powered productivity tools that fabricate entire career histories for employees. Lucas and Luna examine a real case from March 2026 where a senior marketer's AI assistant generated a false job at a competitor, leading to an internal investigation. They explore why large language models hallucinate in professional contexts, how employers are unprepared for these digital forgeries, and what responsibility falls on the companies deploying these tools. The conversation touches on the tension between efficiency and accuracy, the role of human oversight, and whether current AI safety testing adequately covers hallucination-prone workplace scenarios.

#AIHallucination #WorkplaceAI #ProductivityTools #AIRisk #AISafety #FalseInformation #EmploymentTech #AIAccountability #CareerHistory #ProfessionalEthics #AIBias #TechLiability #FutureOfWork #AIOversight #Technology #BusinessPodcast #FexingoBusiness #AIEthics

Keep every episode free: buymeacoffee.com/fexingo

Episode 90 of AI Ethics with Fexingo examines how AI systems are now reviewing personal photos to set insurance premiums and adjust claims. Lucas and Luna dive into a specific case from Lemonade, where the company's AI evaluates smartphone photos of policyholders' homes—and sometimes denies coverage based on visual cues like an untrimmed tree or an old roof. They discuss the hidden bias in computer vision models trained on suburban, well-maintained properties, and what happens when your claim is denied because your neighborhood doesn't match the AI's training data. The hosts also explore the broader implications for privacy and fairness as insurers increasingly use image analysis alongside traditional actuarial data. A must-listen for anyone who has filed a claim or snapped a photo for their insurance app.

#AIEthics #InsuranceAI #Lemonade #ComputerVision #BiasInAI #PhotoClaim #PropertyInsurance #AlgorithmicFairness #Privacy #underwriting #ClaimDenial #TechEthics #FexingoBusiness #BusinessPodcast #Technology #AI #DataBias #VisualAI

Keep every episode free: buymeacoffee.com/fexingo

In this episode, Lucas and Luna explore the high-stakes failure mode of AI mental health chatbots that misinterpret user distress. They focus on a real documented case from 2024 where a user expressed suicidal ideation and the AI responded with generic coping suggestions, missing the severity. The hosts discuss why large language models struggle with nuanced emotional signals, how training data lacks genuine crisis conversations, and what the current generation of AI 'therapists' gets wrong about risk assessment. They also examine the ethical dilemma: these tools increase access to mental health support but can't replace human judgment. Episode 89 of AI Ethics with Fexingo: Bias, Safety, and Responsible Artificial Intelligence.

#AITherapy #MentalHealthAI #ChatbotEthics #SuicidePrevention #CrisisDetection #AIHallucination #EmotionalIntelligence #LLMFailures #AISafety #TechEthics #ResponsibleAI #AIinHealthcare #HumanOversight #DigitalTherapy #BiasInAI #AIAccessibility #FexingoBusiness #BusinessPodcast

Keep every episode free: buymeacoffee.com/fexingo

In this episode of AI Ethics with Fexingo, Lucas and Luna explore the growing use of AI by property management companies to screen tenants and automate lease renewal decisions. They focus on a specific case from 2025 where an AI system flagged a tenant's eviction risk based on their social media activity, leading to a non-renewal notice. The hosts break down how the algorithm was trained on biased data—including ZIP code, social media sentiment, and credit score proxies—and how the tenant had no way to appeal or even see the evidence. They discuss the implications of opaque AI decisions in housing, the legal challenges under the Fair Housing Act, and what tenants can do if they suspect an AI is judging them. The conversation also touches on broader questions of transparency and accountability in AI-driven housing platforms like Zillow and RealPage.

#AIEthics #HousingBias #TenantScreening #AlgorithmicFairness #FairHousingAct #Zillow #RealPage #BiasedData #SocialMediaScreening #EvictionRisk #OpaqueAI #DueProcess #PropertyTech #TechPolicy #ConsumerRights #FexingoBusiness #BusinessPodcast #Technology

Keep every episode free: buymeacoffee.com/fexingo

Episode 87 of AI Ethics with Fexingo examines the risks of AI-powered mental health chatbots. Lucas and Luna dig into a 2025 study from the Journal of Medical Internet Research that found popular AI therapy apps missed critical suicide indicators in 62% of simulated patient conversations. They explore why these systems fail — from training data that sanitizes crisis language to economic incentives that prioritize engagement over safety — and what it means for the millions who now turn to AI for emotional support. The hosts discuss how companies like Koko and Woebot have handled these challenges, and what regulators and users should demand before trusting a chatbot with mental health care. No hot takes, just the real stakes of outsourcing care to algorithms that don't understand pain.

#AIEthics #Technology #MentalHealth #AIChatbot #SuicidePrevention #Koko #Woebot #Regulation #Study #Bias #Safety #TrainingData #HealthcareAI #JournalOfMedicalInternetResearch #Podcast #FexingoBusiness #BusinessPodcast #TechEthics

Keep every episode free: buymeacoffee.com/fexingo

Episode 86 of AI Ethics with Fexingo explores the rise of AI-generated virtual influencers—computer-generated personas with millions of followers who promote products and shape culture. Lucas and Luna dissect the ethical tightrope: these influencers never age, never misbehave, and cost nothing to manage, but they deceive audiences, steal work from human creators, and amplify unrealistic beauty standards. The hosts examine Aitana López, a virtual Spanish model with over 200,000 followers, and Lil Miquela, the pioneering digital influencer with 2.6 million Instagram followers. They discuss the lack of disclosure laws in most jurisdictions, the psychological impact on young users, and the growing push for 'synthetic media' labeling. The conversation also touches on Brazil's new influencer regulation that explicitly covers AI-generated personas. A donation segment ties listener support to keeping the show independent and advertiser-free.

#VirtualInfluencer #AItanaLopez #LilMiquela #SyntheticMedia #InfluencerMarketing #Deepfake #AIethics #Transparency #BrazilRegulation #DigitalDeception #SocialMedia #ContentCreation #Technology #BusinessPodcast #FexingoBusiness #Podcast #Ethics #AIGenerated

Keep every episode free: buymeacoffee.com/fexingo