For greater than three years, an IEEE Requirements Affiliation working group has been refining a draft commonplace for procuring synthetic intelligence and automatic resolution techniques, IEEE 3119-2025. It’s meant to assist procurement groups determine and handle dangers in high-risk domains. Such techniques are utilized by authorities entities concerned in schooling, well being, employment, and plenty of different public sector areas. Final 12 months the working group partnered with a European Union company to guage the draft commonplace’s parts and to assemble details about customers’ wants and their views on the usual’s worth.
On the time, the commonplace included 5processes to assist customers develop their solicitations and to determine, mitigate, and monitor harms generally related to high-risk AI techniques.
These processes had been drawback definition, vendor analysis, resolution analysis, contract negotiation, and contract monitoring.
The EU company’s suggestions led the working group to rethink the processes and the sequence of a number of actions. The ultimate draft now contains a further course of: solicitation preparation, which comes proper after the issue definition course of. The working group believes the added course of addresses the challenges organizations expertise with making ready AI-specific solicitations, corresponding to the necessity to add clear and sturdy information necessities and to include questions relating to the maturity of vendor AI governance.
The EU company additionally emphasised that it’s important to incorporate solicitation preparation, which supplies procurement groups extra alternatives to adapt their solicitations with technical necessities and questions relating to accountable AI system selections. Leaving area for changes is very related when acquisitions of AI are occurring inside rising and altering regulatory environments.
Gisele Waters
IEEE 3119’s place within the requirements ecosystem
At the moment there are a number of internationally accepted requirements for AI administration, AI ethics, and basic software program acquisition. These from the IEEE Requirements Affiliation and the Worldwide Group for Standardization goal AI design, use, and life-cycle administration.
Till now, there was no internationally accepted, consensus-based commonplace that focuses on the procurement of AI instruments and provides operationalsteerage for responsibly buying high-risk AI techniques that serve the general public curiosity.
The IEEE 3119 commonplace addresses that hole. Not like the AI administration commonplace ISO 42001 and different certifications associated to generic AI oversight and threat governance, IEEE’s new commonplace provides a risk-based, operationalstrategy to assist authorities businesses adapt conventional procurement practices.
Governments have an necessary function to play within the accountable deployment of AI. Nonetheless, market dynamics and unequal AI experience between trade and authorities will be limitations that discourage success.
One of many commonplace’s core targets is to raised inform procurement leaders about what they’re shopping for earlier than they make high-risk AI purchases. IEEE 3119 defines high-risk AI techniques as those who make or are a considerable consider making consequential selections that would have important impactson folks, teams, or society. The definition is much like the one utilized in Colorado’s 2034 AI Act, the primary U.S. state-level legislation comprehensively addressing high-risk techniques.
The usual’s processes, nonetheless, do complement ISO 42001 in some ways. The connection between each is illustrated under.
Worldwide requirements, typically characterised as comfortable legislation, are used to form AI improvement and encourage worldwide cooperation relating to its governance.
Exhausting legal guidelines for AI, or legally binding guidelines and obligations, are a piece in progress all over the world. Within the United States, a patchwork of state laws governs totally different features of AI, and the strategy to nationwide AI regulation is fragmented, with totally different federal businesses implementing their very own tips.
Europe has led by passing the European Union’s AI Act, which started governing AI techniques primarily based on their threat ranges when it went into impact final 12 months.
However the world lacks regulatory laborious legal guidelines with a world scope.
The IEEE 3119-2025 commonplace does align with current laborious legal guidelines. On account of its concentrate on procurement, the usual helps the high-risk provisions outlined within the EU AI Act’s Chapter III and Colorado’s AI Act. The usual additionally conforms to the proposed Texas HB 1709 laws, which might mandate reporting on the usage of AI techniques by sure enterprise entities and state businesses.
As a result of most AI techniques used within the public sector are procured moderately than constructed in-house, IEEE 3119 applies to industrial AI services and products that don’t require substantial modifications or customizations.
The usual’s target market
The usual is meant for:
- Mid-level procurement professionals and interdisciplinary crew members with a reasonable degree of AI governance and AI system data.
- Public- and private-sector procurement professionals who function coordinators or patrons, or have equal roles, inside their entities.
- Non-procurement managers and supervisors who’re both answerable for procurement or oversee employees who present procurement capabilities.
- Professionals who’re employed by governing entities concerned with public schooling, utilities, transportation, and different publicly funded providers that both work on or handle procurement and are fascinated about adapting buying processes for AI instruments.
- AI distributors looking for to know new transparency and disclosure necessities for his or her high-risk industrial merchandise and options.
Coaching program within the works
The IEEE Requirements Affiliation has partnered with the AI Procurement Lab to supply the IEEE Accountable AI Procurement Coaching program. The course covers find out how to apply the usual’s core processes and adapt present practices for the procurement of high-risk AI.
The usual contains over 26 instruments and rubrics throughout the six processes, and the coaching program explains find out how to use many of those instruments. For instance, the coaching contains directions on find out how to conduct a risk-appetite evaluation, apply the seller analysis scoring information to investigate AI vendor claims, and create an AI procurement “threat register” tied to recognized use-case dangers and their potential mitigations. The coaching session is now accessible for buy.
It’s nonetheless early days for AI integration. Determination makers don’t but have a lot expertise in buying AI for high-risk domains and in mitigating these dangers. The IEEE 3119-2025 commonplace goals to assist businesses construct and strengthen their AI threat mitigation muscle tissues.
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