Jonathan Adams

• Adams, Jonathan (2024). Examining Ethical and Social Implications of Digital Mental Health Technologies Through Expert Interviews and Sociotechnical Systems Theory. Digital Society: Ethics, Socio-Legal and Governance of Digital Technology. ISSN 2731-4650. doi: 10.1007/s44206-024-00110-5. Full text in Research Archive
• Adams, Jonathan (2023). Defending explicability as a principle for the ethics of artificial intelligence in medicine. Medicine, Health care and Philosophy. ISSN 1386-7423. doi: 10.1007/s11019-023-10175-7. Full text in Research Archive Show summary

  The difficulty of explaining the outputs of artificial intelligence (AI) models and what has led to them is a notorious ethical problem wherever these technologies are applied, including in the medical domain, and one that has no obvious solution. This paper examines the proposal, made by Luciano Floridi and colleagues, to include a new ‘principle of explicability’ alongside the traditional four principles of bioethics that make up the theory of ‘principlism’. It specifically responds to a recent set of criticisms that challenge the supposed need for such a principle to perform an enabling role in relation to the traditional four principles and therefore suggest that these four are sufficient without the addition of explicability. The paper challenges the critics’ premise that explicability cannot be an ethical principle like the classic four because it is explicitly subordinate to them. It argues instead that principlism in its original formulation locates the justification for ethical principles in a midlevel position such that they mediate between the most general moral norms and the contextual requirements of medicine. This conception of an ethical principle then provides a mold for an approach to explicability on which it functions as an enabling principle that unifies technical/epistemic demands on AI and the requirements of high-level ethical theories. The paper finishes by anticipating an objection that decision-making by clinicians and AI fall equally, but implausibly, under the principle of explicability’s scope, which it rejects on the grounds that human decisions, unlike AI’s, can be explained by their social environments.

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• Adams, Jonathan (2024). Epistemic Injustice and AI-Enabled mHealth.
• Adams, Jonathan (2023). Review of 'Cross-Cultural and Religious Critiques of Informed Consent' edited by Joseph Tham, Alberto García Gómez and Mirko Daniel Garasic. Reading Religion. ISSN 2475-207X.
• Adams, Jonathan (2023). Explanation and transparency: bioethical resources for the future of AI in medicine.

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