エピソード

  • How AI Models Hoard Energy

    How AI Models Hoard Energy
    2026/09/11
    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
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    8 分
  • How AI Censorship Creates Dangerous Blind Spots

    How AI Censorship Creates Dangerous Blind Spots
    2026/09/09
    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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    11 分
  • How AI Hiring Tools Discriminate By Name

    How AI Hiring Tools Discriminate By Name
    2026/09/08
    We examine the mechanics of algorithmic hiring bias, specifically how resume-screening models penalize names associated with minority groups and non-standard spellings. Using recent academic findings on phonetic encoding errors, we explore why an AI trained on historical hiring data often rejects qualified candidates before a human ever sees their application. We also discuss practical steps companies can take to audit these systems for fairness before deployment. #AIHiringBias #ResumeScreening #AlgorithmicFairness #TechEthics #HRTechnology #MachineLearningBias #RecruitmentTech #DiversityAndInclusion #FexingoBusiness #BusinessPodcast #EmploymentLaw #AIAudit #PhoneticEncoding #WorkplaceEquity #TechPolicy #CorporateGovernance #DataPrivacy #FutureOfWork Keep every episode free: buymeacoffee.com/fexingo
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    9 分
  • How AI Redlining Blocks Small Business Loans

    How AI Redlining Blocks Small Business Loans
    2026/09/08
    We examine how algorithmic underwriting in commercial lending quietly replicates historical redlining. Lucas and Luna trace the path from legacy credit data to modern AI risk models, showing why a small bakery in a revitalizing neighborhood gets flagged as high-risk while identical financials in an affluent area get approved. We look at specific regulatory pushes from the Consumer Financial Protection Bureau and what responsible AI means when it comes to capital access for minority-owned businesses. #AIEthics #AlgorithmicBias #Redlining #CommercialLending #SmallBusiness #FinancialInclusion #ResponsibleAI #CFPB #CreditScoring #FexingoBusiness #BusinessPodcast #TechEthics #DataFairness #BankingTechnology #EquityInvesting #AIRegulation #LucasAndLuna #EconomicJustice Keep every episode free: buymeacoffee.com/fexingo
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    10 分
  • How AI Disinformation Erodes Market Trust

    How AI Disinformation Erodes Market Trust
    2026/09/07
    We examine how generative AI is being weaponized to create coordinated disinformation campaigns that target financial markets and corporate reputations. Focusing on the recent wave of synthetic CEO voice clones and fabricated regulatory filings, we explore the mechanics of 'market manipulation via narrative' and why traditional verification methods are failing. Lucas breaks down the technical ease of creating believable falsehoods, while Luna questions whether current legal frameworks can keep pace with automated deception. This episode covers specific cases where AI-generated rumors caused measurable stock volatility and discusses the emerging role of cryptographic provenance in restoring trust. #AIEthics #Disinformation #MarketManipulation #GenerativeAI #FinancialSecurity #Deepfakes #CorporateReputation #RegulatoryTech #Cybersecurity #StockVolatility #Misinformation #TechPolicy #FexingoBusiness #BusinessPodcast #FinanceNews #TechnologyTrends #TrustAndSafety #DigitalIdentity Keep every episode free: buymeacoffee.com/fexingo
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    10 分
  • How AI Pricing Algorithms Exploit Consumer Vulnerability

    How AI Pricing Algorithms Exploit Consumer Vulnerability
    2026/09/06
    We look at how dynamic pricing models are moving beyond simple supply-and-demand adjustments into behavioral exploitation. By analyzing data on personal income, browsing history, and device type, companies like Uber and airlines use AI to calculate the maximum price a specific user is willing to pay in real-time. This episode explores the economic mechanics of this practice, the regulatory gaps that allow it, and what it means for market fairness in September 2026. #AI Ethics #Dynamic Pricing #Consumer Protection #Algorithmic Bias #Price Discrimination #Behavioral Economics #Big Tech Regulation #Fairness In AI #Digital Markets #Surveillance Capitalism #Pricing Strategy #Economic Justice #Tech Policy #Market Manipulation #Personalized Advertising #FexingoBusiness #BusinessPodcast #LucasAndLuna Keep every episode free: buymeacoffee.com/fexingo
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    11 分
  • How AI Video Generation Amplifies Bias Through Visual Data

    How AI Video Generation Amplifies Bias Through Visual Data
    2026/09/04
    This episode examines how generative video models like Sora and Runway are inheriting and amplifying societal biases through their training data. We look at specific instances where AI-generated content reinforces stereotypes in professional settings, from boardrooms to emergency rooms. Lucas and Luna explore the technical mechanisms behind visual bias, including dataset curation issues and the 'average face' problem. They discuss why fixing this is harder for video than text, citing the complexity of temporal consistency and motion capture. The conversation also covers emerging solutions like diverse dataset audits and ethical guidelines from major tech firms. Listeners will learn about the hidden costs of synthetic media and what companies can do today to mitigate these risks before they scale. #FexingoBusiness #BusinessPodcast #AILeadership #GenerativeAI #VideoGeneration #TechEthics #AlgorithmicBias #ComputerVision #MachineLearning #ResponsibleAI #DataScience #DigitalMedia #CorporateStrategy #Innovation #TechPolicy #FutureOfWork #Deepfakes #VisualAI Keep every episode free: buymeacoffee.com/fexingo
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    12 分
  • How AI Models Leak Personal Data Through Training Sets

    How AI Models Leak Personal Data Through Training Sets
    2026/09/03
    We look at how large language models inadvertently memorize and regurgitate private information from their training data. Using the case of a recent lawsuit against an AI startup, we examine why 'memorization' isn't just a bug but a feature of how these systems learn. We discuss the technical mechanisms behind data leakage, the limitations of current privacy filters, and what responsible AI development actually requires when handling sensitive datasets. This is not about hypothetical risks; it is about documented incidents where personal emails, medical records, and financial details have appeared in model outputs. #AIEthics #DataPrivacy #MachineLearning #TechPolicy #ResponsibleAI #FexingoBusiness #BusinessPodcast #LLMSecurity #TrainingData #Cybersecurity #ArtificialIntelligence #TechLaw #DataLeakage #ModelMemorization #PrivacyTech #EnterpriseAI #DigitalRights #FutureOfWork Keep every episode free: buymeacoffee.com/fexingo
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    11 分