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
Google’s latest AI tool, Gemini, designed to create diverse images, has been temporarily stopped after sparking controversy over its depiction of historical figures. AI Tool Gemini Gemini was made to create realistic images based on users’ descriptions in a similar manner to OpenAI’s ChatGPT. Like other models, it is trained not to respond to dangerous or hateful prompts and to introduce diversity into its outputs. However, users reported that Gemini, in its attempt to avoid racial bias, often generated images with historically inaccurate representations of gender and ethnicity. For example,
