Meta’s ad algorithms show racial bias by disproportionately steering Black users towards more expensive for-profit colleges, a recent study found. Researchers from Princeton and the University of Southern California have developed “Auditing for Racial Discrimination in the Delivery of Education Ads,” a third-party auditing report to evaluate racial bias in education ads, focusing on platforms like Meta. Algorithm Education Bias This method allows external parties to assess and demonstrate the presence or absence of bias in social media algorithms, an area previously unexplored in education. Prior audits revealed discriminatory practices
Some of the most high-profile AI chatbots generate responses that perpetuate false or debunked medical information about Black people, a new study has found. While large language models (LLMs) are being integrated into healthcare systems, these models may advance harmful, inaccurate race-based medicine. Perpetuating debunked race myths A study by some Stanford School of Medicine doctors assessed whether four AI chatbots responded with race-based medicine or misconceptions around race. They looked at OpenAI’s ChatGPT, OpenAI’s GPT-4, Google’s Bard, and Anthropic’s Claude. All four models used debunked race-based information when asked
