AI-deploying organizations are key to addressing ‘perfect storm’ of AI risks
Open accessAbstract
We argue that a perfect storm of five conditions heightens the risk of harm to society from artificial intelligence: (1) the powerful, invisible nature of AI, (2) low public awareness and AI literacy, (3) rapid scaled deployment of AI, (4) insufficient regulation, and (5) the gap between trustworthy AI principles and practices. To prevent harm, fit-for-purpose regulation and public AI literacy programs have been recommended, but education and government regulation will not be sufficient: AI-deploying organizations need to play a central role in creating and deploying trustworthy AI in line with the principles of trustworthy AI, and taking accountability to mitigate the risks.
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The accelerating shift towards new modes of digital public governance requires an adaptation of the legal framework.
“The accelerating shift towards new modes of digital public governance, therefore, requires an adaptation of the legal framework-and there is broad support for this view (see, e.g., Curtis et al. (2023)).”
From Resh(AI)ping Good Administration: Addressing the Mass Effects of Public Sector Digitalisation (2024) · cites this paper as Curtis et al. (2023)
In “Conditions heightening the risk of harm from AI systems” (page unavailable), the paper says public-sector AI adoption is increasing while regulation of AI systems lags behind. Its policy recommendations support adapting regulation for AI, but it does not address the broader shift to new modes of digital public governance or the legal framework for that shift generally. (LLM, conf=0.84)
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- Authors
- Curtis, C., Gillespie, N., & Lockey, S.
- Affiliations
- The University of Queensland (AU)
- Corresponding author
- Curtis, Caitlin
- Venue
- AI and Ethics
- Published
- 2022-05-24
- Volume
- 3
- Issue
- 1
- Pages
- 145-153
- ISSN
- 2730-5953 (ISSN-L)
- 2730-5961
- PMC
- PMC9127285
- OpenAlex
- W4282939097
- Cited by
- 43
- References
- 37
- Citations by year
- 2026: 9 · 2025: 21 · 2024: 8 · 2023: 5
- FWCI
- 9.86
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- AI and Ethics (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- KPMG (RM2018001776)
- The University of Queensland
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Law › Digitalization, Law, and Regulation
- Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
- Keywords
- AI risks, trustworthy AI, AI literacy, AI regulation, accountability, AI awareness, AI deployment, AI governance
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