Project description
The widespread use of generative AI has created new opportunities but also brought substantive challenges for individuals and societies. Recent research has identified the challenge that texts and pictures created with generative AI can be heavily biased against women and minorities by neglecting them or portraying them in stereotypical roles (algorithmic bias). At the same time, initial research suggests that humans trust AI more than other humans to portray the world in an unbiased way.
Based on the extant literature, including our own research in the fields of generative AI and media stereotypes, we will examine algorithmic bias from a social scientific perspective. The empirical research is structured along three work packages. Our aims are to: a) identify awareness and evaluation of algorithmic bias among different stakeholder groups; b) investigate human responses and psychological effects of algorithmic bias; and c) develop interventions to combat its potential for negative impact.
The project results will be of key interest to scientists worldwide, as well as stakeholders in politics, media and creative industries, education, and the general public.
Project team
Prof. Dr. Markus Appel
Professor of Psychology of Communication and New Media, Julius-Maximilians-Universität Würzburg | Human-Computer-Media Institute