Imagining Better AI-Enabled Healthcare Futures: The Case for Care by Design
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arXiv
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| Autores principales: | , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866916466969804800 |
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| author | Doherty, Kevin Kallina, Emma Moylan, Kayley Silva, María Paula Karimian, Sajjad Shumsher, Shivam Brennan, Rob |
| author_facet | Doherty, Kevin Kallina, Emma Moylan, Kayley Silva, María Paula Karimian, Sajjad Shumsher, Shivam Brennan, Rob |
| contents | We find ourselves on the ever-shifting cusp of an AI revolution -- with potentially metamorphic implications for the future practice of healthcare. For many, such innovations cannot come quickly enough; as healthcare systems worldwide struggle to keep up with the ever-changing needs of our populations. And yet, the potential of AI tools and systems to shape healthcare is as often approached with great trepidation as celebrated by health professionals and patients alike. These fears alight not only in the form of privacy and security concerns but for the potential of AI tools to reduce patients to datapoints and professionals to aggregators -- to make healthcare, in short, less caring. This infixated concern, we - as designers, developers and researchers of AI systems - believe it essential we tackle head on; if we are not only to overcome the AI implementation gap, but realise the potential of AI systems to truly augment human-centred practices of care. This, we argue we might yet achieve by realising newly-accessible practices of AI healthcare innovation, engaging providers, recipients and affected communities of care in the inclusive design of AI tools we may yet enthusiastically embrace to materialise new opportunities for increasingly meaningful and effective care. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_02067 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Imagining Better AI-Enabled Healthcare Futures: The Case for Care by Design Doherty, Kevin Kallina, Emma Moylan, Kayley Silva, María Paula Karimian, Sajjad Shumsher, Shivam Brennan, Rob Human-Computer Interaction H.1.2; J.3 We find ourselves on the ever-shifting cusp of an AI revolution -- with potentially metamorphic implications for the future practice of healthcare. For many, such innovations cannot come quickly enough; as healthcare systems worldwide struggle to keep up with the ever-changing needs of our populations. And yet, the potential of AI tools and systems to shape healthcare is as often approached with great trepidation as celebrated by health professionals and patients alike. These fears alight not only in the form of privacy and security concerns but for the potential of AI tools to reduce patients to datapoints and professionals to aggregators -- to make healthcare, in short, less caring. This infixated concern, we - as designers, developers and researchers of AI systems - believe it essential we tackle head on; if we are not only to overcome the AI implementation gap, but realise the potential of AI systems to truly augment human-centred practices of care. This, we argue we might yet achieve by realising newly-accessible practices of AI healthcare innovation, engaging providers, recipients and affected communities of care in the inclusive design of AI tools we may yet enthusiastically embrace to materialise new opportunities for increasingly meaningful and effective care. |
| title | Imagining Better AI-Enabled Healthcare Futures: The Case for Care by Design |
| topic | Human-Computer Interaction H.1.2; J.3 |
| url | https://arxiv.org/abs/2411.02067 |