Follow the story of Alex Rivera, a warehouse worker whose performance metrics suddenly plummeted after his company implemented an AI management system. Through his experience, we uncover how algorithmic management systems are reshaping workplace surveillance, productivity tracking, and employee evaluation. Former Silicon Valley engineer turned whistleblower Patricia Yang explains how these systems can be manipulated to justify layoffs, while labor rights attorney Michael Foster discusses emerging legal frameworks for algorithmic workplace rights. The episode reveals how AI management systems are spreading from warehouses to white-collar professions, fundamentally changing the nature of work itself.

This podcast was created using artificial intelligence technology.

Hosted on Acast. See acast.com/privacy for more information.

When Michelle Thompson's chronic pain was repeatedly misclassified by her hospital's AI triage system, she began investigating how healthcare algorithms make life-or-death decisions. We examine how machine learning models trained primarily on male patients misdiagnose women's health issues, and explore the racial bias embedded in popular healthcare AI tools. Dr. Raj Patel shares his experience fighting against algorithmic recommendations in emergency medicine, while healthcare data scientist Dr. Emma Chen demonstrates how seemingly objective medical AI can perpetuate historical healthcare disparities.

This podcast was created using artificial intelligence technology.

Hosted on Acast. See acast.com/privacy for more information.

James Martinez's perfect credit score couldn't save him from being denied a mortgage, leading to the discovery of alternative credit scoring systems using social media and shopping habits. We investigate how AI-powered financial assessment tools analyze everything from your purchase timing to your social connections to determine creditworthiness. Former fintech developer Lisa Wong reveals how these shadow scores are calculated, while consumer rights advocate Bernard Klein discusses the legal battles over algorithmic lending discrimination. The episode culminates in an exploration of how these systems particularly impact gig economy workers and small business owners.

This podcast was created using artificial intelligence technology.

Hosted on Acast. See acast.com/privacy for more information.

Meet Sarah Chen, a 32-year-old architect whose dating app matches suddenly changed dramatically after she moved to a new city. Through her story, we uncover how dating algorithms silently factor in age, profession, and location to create digital relationship barriers. We explore how machine learning models trained on historical dating patterns perpetuate societal biases, and reveal why certain professionals mysteriously disappear from each other's feeds. Industry whistleblower Marcus Rodriguez shares insights about the profit-driven decisions behind match algorithms, while digital ethicist Dr. Maya Patel explains how these systems can reinforce social segregation.

This podcast was created using artificial intelligence technology.

Hosted on Acast. See acast.com/privacy for more information.