Thursday 23 July 14:05 - 15:35

Hall: 11 - Palazzina 3

Chair and Presenter: Stolle Dennis

Division: Division 10: Psychology, Law, and Ethics

This symposium will bring together psychological scientists from diverse subdisciplines and from three countries to explore how artificial intelligence is reshaping the research process in psychology. Panelists will address both current and future uses of AI in generating new psychological science, with emphasis on industrial-organizational, clinical, and social/personality psychology, as well as cross-cutting ethical issues.


The session will walk through the traditional steps of research—literature review, experimental design, development of stimulus materials, data collection, data analysis, and beyond—showing how AI can be implemented at each stage. Examples will illustrate how AI tools can increase efficiency and generate novel insights, while also raising important methodological and ethical questions.


Central to the discussion is the dual focus on feasibility and responsibility: not only can AI be used in these steps, but should it be used? Panelists will examine concerns such as bias in AI-generated materials, transparency in AI-driven analyses, and risks of overreliance on machine outputs in place of human judgment. By considering these issues alongside the opportunities, the symposium will help participants think critically about integrating AI into their own research practices.


The novelty of this symposium lies in its focus on emerging methodologies and the ethical dilemmas they create. While AI has begun to make inroads into psychological science, a comprehensive and systematic discussion of its role across the entire research cycle is rare. By explicitly pairing technical applications with ethical considerations, the session will offer a forward-looking perspective that is both innovative and practical.


The symposium is highly relevant to the Congress because research methods are foundational to nearly all areas of applied psychology. As AI expands the boundaries of what is possible, understanding its uses and limits will be critical for scholars, practitioners, and institutions alike.