Governance of Direct-to-User Digital Mental Health Tools: Emphasizing Transparency over Paternalism.

Area of Science:

• Digital Health
• Mental Health Technology
• AI Ethics

Background:

• Digital mental health tools are expanding beyond clinical settings, challenging existing regulatory frameworks.
• Current regulations may be too rigid for the direct-to-user model, where individuals act as autonomous agents.
• Concerns exist regarding data transparency, tool validity, and user incentives in unregulated digital health.

Purpose of the Study:

• To propose a human-centered governance approach for digital mental health tools.
• To shift from paternalistic regulation to a model emphasizing individual agency and shared accountability.
• To establish standards of radical transparency, individual agency, and shared accountability for digital mental health technologies.

Main Methods:

• Conceptualizing a shift from rigid standards to a human-centered governance model.
• Advocating for radical transparency in data, validity, and incentives.
• Proposing evolving accountability frameworks, including voluntary certification and collective liability.

Main Results:

• The proposed model empowers users to make informed choices based on personal goals and values.
• Radical transparency enables users to assess trade-offs associated with digital mental health tools.
• Voluntary certification with collective liability offers a scalable and ethical accountability framework.

Conclusions:

• A human-centered governance approach is essential for the ethical development and deployment of digital mental health tools.
• Individual agency and shared accountability, coupled with transparency, can create more accessible and participatory digital health ecosystems.
• This framework can be extended to other digital health tools and cognitive-enhancement technologies.