AI Mental Health Support and the Case for Distributed Networked Regulation
Book Details
Format
Paperback / Softback
Book Series
Elements in Data Rights and Wrongs
ISBN-10
1009860771
ISBN-13
9781009860772
Publisher
Cambridge University Press
Imprint
Cambridge University Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Aug 6th, 2026
Print length
75 Pages
Product Classification:
Management of specific areasDigital, IT and Communications lawIT & Communications lawImpact of science & technology on societyImpact of science and technology on societyDigital and information technologies: social and ethical aspectsEthical & social aspects of ITPrivacy & data protectionPrivacy and data protectionArtificial intelligenceArtificial intelligence (AI)
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Clinicians and consumers have long been interested in using purpose-built chatbots to provide mental health support. This Element examines the opportunities, risks and legal landscape of AI for direct-to-consumer mental health support and considers a response of distributed regulatory networks.
Clinicians and consumers have long been interested in using purpose-built chatbots to provide mental health support. Specifically designed therapy chatbots are now available direct-to-consumer, even though researchers have yet to establish their efficacy, safety and viability. However, whatever their clinical merits or limitations, the role for specialised therapy chatbots has been overshadowed by the increasing number of people using AI companions and general-purpose generative AI for mental health support. Reports have implicated these offerings in instances of user self-harm, prompting calls for more robust regulation across the entire field. This Element examines the opportunities, risks and legal landscape of AI for direct-to-consumer mental health support and considers a response of distributed regulatory networks. This approach abandons any pretence of a single body of law providing an effective and palatable response for concerns raised by therapy chatbots and the challenges posed by evolving technologies operating in sensitive domains.
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