Abstract
Psychology and AI have a long and interconnected history that dates from Turing’s famous query: ‘Can machines think?’ Since that time, insights into human perception, cognition, language and intelligence have passed between these fields in both directions. Psychological phenomena have fuelled the development of AI, and in parallel, the failures/successes of AI have informed theoretical models of psychological phenomena. In the past decade, the pace of this exchange has quickened, along with AI’s impressive gains in achieving human-like feats of intelligence. This Special Issue examines the use of artificial intelligence in psychological research and covers a wide range of topics including: Explainable AI, the development of computational models of psychological processes, the nature of human interactions with AI and the use of AI as a creative and powerful tool for psychological research. Studies of Explainable AI aim to understand the decisions and actions of an AI in human terms. AI-based models of human perception, cognition, and language can ground theories of these processes and can be manipulated and used in hypothesis testing. Studying human interactions with AI can provide a window into the mental models we form of other types of intelligent systems. At the level of social interaction, psychologists can ask whether and how AI is changing human behaviour, both in the near- and far-term. In this Special Issue, we see examples of research aimed at each of these questions. This guest editorial provides a brief history of how psychology and AI have evolved to arrive at this point in time. We also provide an overview of the diverse contents of this issue. These papers give a glimpse of the next chapter in the co-evolution of AI and psychology.