As institutions increasingly rely on artificial intelligence to help inform decisions that can impact people’s financial futures, employment opportunities and access to services, experts have been raising concerns on whether these systems treat people fairly and produce unbiased outputs.
In response, researchers and industry practitioners have been working to develop methods to evaluate AI systems and identify whether they reinforce systemic biases that could lead to unethical or unlawful decisions.
Three recent graduates of the George Washington University School of Business’ Master of Science in Business Analytics program contributed to that effort by developing a framework to evaluate LLMs as part of their practicum capstone project.
While working on the project, the students were also taking a responsible machine learning course taught by Patrick Hall, a GW TAI professor and the chief AI officer at the School of Business. They were able to apply lessons from the course to their practicum research.
Read the full article on GW Today.