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This seminar will reflect on the possibilities of integrating phenomenology (with its focus on lived experience, embodiment, intersubjectivity, and empathy) with “conscious-less” AI technologies. It will explore the potential of the phenomenological approach to contribute to computational approaches to psychopathology and vice versa to advance synthetic phenomenology for mental health care.
Confirmed speakers: Bill Fulford, Marcin Moskalewicz, Christoph Durt, Marcin Rządeczka, Maciej Wodziński, Peter Schönknecht, Marta Sokół, Anastazja Szuła, Anna Sterna, Anastasios Dimopoulos, Marianne Broeker, Pierre Beckmann, Maxwell Ramstead, Philipp Schmidt
The standard phenomenological critique of AI in healthcare highlights that LLMs lack embodied understanding and genuine engagement, suggesting that simulated empathy isn’t true care. This seminar shall explore the possibilities for critically integrating phenomenology with artificial intelligence, and in particular, issues related to:
- using AI for phenomenological research, analyzing lived experiences, and defining phenomenal states
- improving affect recognition in chatbots for vulnerable groups, contrasting conceptual with embodied understanding
- examining the role of simulated care, digital empathy, and agency in mental health AI applications
- aligning AI with human values and enhancing self-understanding in care practices.
Values-based Practice (VBP) is a clinical skills-based approach to working with complex and conflicting values in healthcare. It is a twin framework to evidence-based practice (EBP). VBP is an approach to working with complex and conflicting values in healthcare that is complementary to other approaches to working with values (such as ethics) in supporting clinical judgment in individual cases. VBP links science with the unique values of the particular people involved (as clinicians, patients, carers and others) in a given clinical decision.
