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

Episode 4 of AI Ethics with Fexingo dives into the European Union's Artificial Intelligence Act, the first comprehensive legal framework for AI. Lucas and Luna explore how the Act classifies AI systems by risk, what it means for companies like OpenAI and Google, and whether it could set a global precedent similar to GDPR. They discuss the specific prohibitions on social scoring and real-time biome...

Lucas and Luna examine a real-world case where a widely used healthcare algorithm, designed to manage chronic disease care, systematically underestimated the health needs of Black patients. Data from a 2019 Science study shows the algorithm was 50% less likely to flag Black patients for extra care compared to white patients with the same chronic conditions. They break down how a flawed proxy—healt...

Every year, millions of job applications are filtered by algorithms that claim to be objective. But a 2023 study of Amazon's now-defunct AI recruiting tool revealed something disturbing: the system systematically downgraded resumes containing the word 'women's' — as in 'women's chess club captain' or 'women's soccer league president.' Lucas and Luna unpack how that bias crept in, why it wasn't cau...

In the premiere episode of AI Ethics with Fexingo, Lucas and Luna launch the show by drilling into a single case: the COMPAS recidivism algorithm used in U.S. courtrooms. They walk through the 2016 ProPublica investigation that found the tool was nearly twice as likely to falsely flag Black defendants as future criminals than white defendants — while also being less accurate overall than a random...