Public procurement of artificial intelligence systems: new risks and future proofing
Open accessAbstract
Public entities around the world are increasingly deploying artificial intelligence (AI) and algorithmic decision-making systems to provide public services or to use their enforcement powers. The rationale for the public sector to use these systems is similar to private sector: increase efficiency and speed of transactions and lower the costs. However, public entities are first and foremost established to meet the needs of the members of society and protect the safety, fundamental rights, and wellbeing of those they serve. Currently AI systems are deployed by the public sector at various administrative levels without robust due diligence, monitoring, or transparency. This paper critically maps out the challenges in procurement of AI systems by public entities and the long-term implications necessitating AI-specific procurement guidelines and processes. This dual-prong exploration includes the new complexities and risks introduced by AI systems, and the institutional capabilities impacting the decision-making process. AI-specific public procurement guidelines are urgently needed to protect fundamental rights and due process.
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AI could amplify existing challenges due to its technical complexity, increased autonomy, system opacity that impedes error detection, distributed responsibility across multiple suppliers and systems, and risks that propagate across linked systems and models.
“While some of the discussed risks may also apply for traditional IT systems [61], AI could amplify existing challenges due to its technical complexity, increased autonomy, system opacity that impedes error detection, distributed responsibility across multiple suppliers and systems, and risks that propagate across linked systems and models [88, 91].”
From “It’s Just a Wild, Wild West”: Harnessing Public Procurement as an AI Governance Mechanism (2026) · cites this paper as [91]
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- Authors
- Hickok, M.
- Corresponding author
- Hickok, Merve
- ORCID
- Hickok, Merve
- Venue
- AI & SOCIETY
- Published
- 2022-10-02
- Volume
- 39
- Issue
- 3
- Pages
- 1213-1227
- ISSN
- 0951-5666 (ISSN-L)
- 1435-5655
- PMC
- PMC9526785
- OpenAlex
- W4299285312
- Cited by
- 81
- References
- 18
- Citations by year
- 2026: 31 · 2025: 29 · 2024: 13 · 2023: 8
- FWCI
- 9.34
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- AI & Society (publishedVersion, public-domain)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Public Procurement and Policy
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Political Science and International Relations › E-Government and Public Services
- Keywords
- public procurement, artificial intelligence, algorithmic decision-making, public sector AI, procurement guidelines, due diligence, transparency, fundamental rights, due process, risk management, institutional capacity, public services
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