Асемота Мэриэнн Осадебамвен

In their recent study, Evans Uhunoma and Maryann Asemota delve into how users perceive bias in generative AI outputs across two distinct contexts: the workplace and public discourse on social media. Drawing on survey data from UK-based employees and sentiment analysis of posts on X (formerly Twitter), the authors examine the extent to which generative AI systems—commonly regarded as innovative tools for content creation—may in fact reproduce or amplify existing societal biases.