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arXiv Open Access 2025

The Cost-Benefit of Interdisciplinarity in AI for Mental Health

Katerina Drakos Eva Paraschou Simay Toplu Line Harder Clemmensen Christoph Lütge +2 lainnya
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Abstrak

Artificial intelligence has been introduced as a way to improve access to mental health support. However, most AI mental health chatbots rely on a limited range of disciplinary input, and fail to integrate expertise across the chatbot's lifecycle. This paper examines the cost-benefit trade-off of interdisciplinary collaboration in AI mental health chatbots. We argue that involving experts from technology, healthcare, ethics, and law across key lifecycle phases is essential to ensure value-alignment and compliance with the high-risk requirements of the AI Act. We also highlight practical recommendations and existing frameworks to help balance the challenges and benefits of interdisciplinarity in mental health chatbots.

Topik & Kata Kunci

cs.CY cs.AI

Penulis (7)

K

Katerina Drakos

E

Eva Paraschou

S

Simay Toplu

L

Line Harder Clemmensen

C

Christoph Lütge

N

Nicole Nadine Lønfeldt

S

Sneha Das

Format Sitasi

APA MLA BibTeX
Drakos, K., Paraschou, E., Toplu, S., Clemmensen, L.H., Lütge, C., Lønfeldt, N.N. et al. (2025). The Cost-Benefit of Interdisciplinarity in AI for Mental Health. https://arxiv.org/abs/2510.18581

Akses Cepat

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Informasi Jurnal
Tahun Terbit
2025
Bahasa
en
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arXiv
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Open Access ✓