AI in Employment: A Liability Flashpoint # Employment decisions represent one of the most contentious frontiers for AI liability. Automated hiring tools, resume screeners, video interview analyzers, and performance evaluation systems increasingly determine who gets jobs, promotions, and terminations. When these systems discriminate, whether intentionally designed to or through embedded bias, the legal consequences are mounting rapidly.
When Algorithms Decide Family Fate # Artificial intelligence has quietly entered family courts across America. Risk assessment algorithms now help determine whether children should be removed from homes. Predictive models influence custody evaluations and parenting time recommendations. AI-powered tools analyze evidence, predict judicial outcomes, and even generate custody agreement recommendations.
AI in Employment: The New Discrimination Frontier # Artificial intelligence has transformed how companies hire, evaluate, and fire workers. Resume screening algorithms, video interview analysis, personality assessments, performance prediction models, and automated termination systems now influence employment decisions affecting millions of workers annually. But as AI adoption accelerates, so does evidence that these systems perpetuate, and sometimes amplify, discrimination based on race, age, disability, and gender.
When AI Becomes the Debt Collector # The debt collection industry, historically notorious for harassment and intimidation, is rapidly adopting artificial intelligence. AI chatbots can contact millions of debtors in days. Voice cloning technology creates synthetic agents indistinguishable from humans. Algorithmic systems decide who gets sued, when to call, and how aggressively to pursue payment.
The High Stakes of Diagnostic AI # When artificial intelligence gets a diagnosis wrong, the consequences can be catastrophic. Missed cancers, delayed stroke treatment, sepsis alerts that fail to fire, diagnostic AI failures are increasingly documented, yet lawsuits directly challenging these systems remain rare. This tracker compiles the evidence: validated failures, performance gaps, bias documentation, FDA recalls, and the emerging litigation that will shape AI medical liability for decades.