As Generative AI (GenAI) becomes more widely used, researchers are increasingly exploring its potential to assist with various tasks. While GenAI can be a valuable tool in some cases, it also presents ethical and practical risks that must be carefully assessed and mitigated before being applied in research. Moreover, growing concerns around GenAI’s broader ethical implications—including issues of equity, ownership, access, profit, bias, and power imbalances— are growing, particularly due to the way these systems are developed and trained. GenAI models rely on vast amounts of data sourced from publicly available content, often without clear consent or fair compensation for the original creators, raising important questions about accountability and fairness.
New guide: key questions to ask before using GenAI for research on violence against women
