Description
In this episode of Making Therapy Better, Dr. Bruce Wampold sits down with Dr. Anat Perry, Director of the Social Cognitive Neuroscience Lab at the Hebrew University of Jerusalem and a Helen Putnam Fellow at the Radcliffe Institute at Harvard University, for a timely and thought-provoking conversation about AI, empathy, and the future of psychotherapy.
Together, Bruce and Anat explore what empathy really means in a world where large language models can sound remarkably warm, caring, and emotionally attuned. Drawing from Anat’s research, they break empathy into three core components — cognitive empathy, affective empathy, and motivational empathy — and ask which of these can be approximated by AI and which still depend on genuine human relationship.
The conversation examines where AI may be useful in therapy, especially when people need tools, psychoeducation, guidance, or structured support, and where it may fall short — particularly when what is needed is human connection, shared emotional experience, trust, and authentic care. Bruce and Anat also discuss the promise of integrating AI into training and treatment in carefully designed ways, while warning against replacing real relational work with simulated responses.
Beyond psychotherapy, the episode raises deeper questions about loneliness, social learning, authenticity, and development. Anat explains how constant access to artificial empathy may weaken opportunities to build real-world social skills and relationships, especially for younger generations growing up in digitally mediated environments. Together, they consider not only what AI can do, but what human beings may lose if empathic technologies become substitutes rather than supports for genuine connection.
This season finale offers a nuanced and urgent perspective on one of the biggest questions facing the field today: not simply whether AI can mimic empathy, but what kind of empathy — and what kind of relationship — healing truly requires.