Ethical AI and Librarianship
A Resource Guide
White Paper on Data Ethics in Public Procurement of AI-based Services and Solutions
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Field
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Description | |
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| Title | White Paper on Data Ethics in Public Procurement of AI-based Services and Solutions | |
| Type | Reports | |
| Creator | DataEthics.eu | |
| Link | https://dataethics.eu/wp-content/uploads/dataethics-whitepaper-april-2020.pdf | |
| Creation Date | 04/2020 | |
| Last Updated Date | -- | |
| Summary | Created by DataEthics.eu, an independent, non-profit think tank based in Denmark, this white paper offers a roadmap to help public procurers select AI-based products that prioritize data ethics, democracy, and fundamental rights. Building on the recommendations of the European High-Level Expert Group on AI, it aims to promote trustworthy AI by embedding data ethical principles directly into public sector procurement processes. The report proposes a risk-based, five-phase approach to procurement: 1) Preliminary Risk Assessment: Evaluates potential negative impacts of an AI system before engaging suppliers. This includes assessments of data ethics, legal compliance, accountability structures, security risks, and social and environmental consequences. 2) Preliminary Screening of Suppliers: Examines vendors’ capacity to design and implement AI systems aligned with ethical, legal, and technical standards. 3) Contracting: Embeds enforceable data ethics and legal standards into procurement contracts, with clear selection/exclusion criteria, technical specifications, and award criteria. 4) Contract Performance Conditions: Requires that contracts contain specific clauses and provisions to ensure ethical delivery and ongoing monitoring of the AI system. 5) Contract Implementation: Establishes internal governance structures and follow-up mechanisms to oversee progress and ensure continued compliance throughout the system’s lifecycle. This framework is applicable across digitized public sectors such as justice and law enforcement, e-government, education, healthcare, social services, employment, and government-to-business (G2B) interactions. | |
| Topic | Ethical AI | |
| Source and Link | DataEthics.eu. https://dataethics.eu/ | |
| Access | Open | |
| Accessibility | -- | |
| Audience | General. Scholars and Students. | |
| Platform or Format | Document (.pdf) | |
| Length | 54 pages | |
| Geography | USA/Europe | |
| Language | eng | |
| Description Date | 06/23/2025 |