The Cost-Benefit of Interdisciplinarity in AI for Mental Health
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arXiv
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866915566714880000 |
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| author | Drakos, Katerina Paraschou, Eva Toplu, Simay Clemmensen, Line Harder Lütge, Christoph Lønfeldt, Nicole Nadine Das, Sneha |
| author_facet | Drakos, Katerina Paraschou, Eva Toplu, Simay Clemmensen, Line Harder Lütge, Christoph Lønfeldt, Nicole Nadine Das, Sneha |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_18581 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | The Cost-Benefit of Interdisciplinarity in AI for Mental Health Drakos, Katerina Paraschou, Eva Toplu, Simay Clemmensen, Line Harder Lütge, Christoph Lønfeldt, Nicole Nadine Das, Sneha Computers and Society Artificial Intelligence 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. |
| title | The Cost-Benefit of Interdisciplinarity in AI for Mental Health |
| topic | Computers and Society Artificial Intelligence |
| url | https://arxiv.org/abs/2510.18581 |