Cited by 18Public Procurement and PolicyImpact of AI and Big Data on Business and SocietyAuction Theory and Applications

Procurement and artificial intelligence

Open access
Coglianese, Cary·2024·Handbook on Public Policy and Artificial Intelligence

Abstract

Governmental entities must often rely on private sector firms to develop and deploy artificial intelligence (AI) tools that can improve public sector performance. As a result, contracts with private firms can provide an important line of defense against improper or ill-executed public sector use of AI. This chapter investigates the connections between procurement and AI in the public sector, highlighting opportunities for using procurement to promote the responsible deployment of AI by governmental entities. To provide a conceptually complete account of the relationship between AI and procurement, the chapter begins by explaining how governments around the world are starting to rely on AI to fulfill procurement functions. The chapter then explains how, for any function, careful attention to procurement contracts can solve some of the transparency concerns surrounding governmental use of AI as well as help respond to concerns about fairness and accountability. In short, procurement can be an important source of AI governance.

Integrity signals

Registry

Crossref · 10.4337/9781803922171.00026

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Public procurement has potential as an AI governance mechanism to align public sector AI with public interests.

    “Recent work positions public procurement as a way to shape public sector AI in line with public interests, using the state's purchasing power to influence which AI systems are procured and under what conditions.”
  • The procurement process could be used to require suppliers to embed responsible AI aspects in their systems or development processes, for instance through requirements related to transparency, fairness, or community involvement.

    “That is, the procurement process could be used to require suppliers to embed responsible AI (rAI) aspects in their systems or development processes, for instance, through setting requirements related to transparency, fairness, or community involvement [9, 42, 55, 122].”

Cited by

Sorted by citations

Authors
Coglianese, C.
Affiliations
University of Pennsylvania (US)
Corresponding author
Coglianese, Cary
Venue
Handbook on Public Policy and Artificial Intelligence
Published
2024-06-21
Pages
235-248
OpenAlex
W4399562435
Cited by
18
References
0
Citations by year
2026: 7 · 2025: 10 · 2024: 1
FWCI
38.45
Type
book chapter
Language
en
Open access
Locations
  • Edward Elgar Publishing eBooks (publishedVersion)
  • SSRN Electronic Journal (acceptedVersion)
  • Penn Carey Law Legal Scholarship Repository (University of Pennsylvania) (submittedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Public Procurement and Policy
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Auction Theory and Applications
Keywords
procurement, artificial intelligence, purchasing, procurement automation

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review