ITU's New Framework Guides on Implementing Effective AI Governance

The International Telecommunication Union (ITU) has taken a significant step towards enhancing artificial intelligence governance with the publication of an eight-part diagnostic framework. This guide is designed for governments at multiple levels, including national and subnational, as well as for various sectors to assess their AI governance arrangements. Unlike traditional regulatory measures or country ranking systems, this framework is intended as a readiness resource rather than a compliance mandate.

For procurement professionals, the implications of this framework are substantial. As governments engage in establishing robust AI governance structures, there is likely to be a surge in demand for expertise in AI governance assessments and related technical support. The framework offers procurement teams a blueprint when crafting Request for Proposals (RFPs) and other solicitations, particularly in defining requirements around audits, documentation, security, and accountability.

Furthermore, the ITU guide emphasizes the importance of strategic planning, institutional coordination, digital infrastructure, data governance, skills, and societal safeguards as integral components of effective AI governance. Each of these areas contains within it seven indicators that are evaluated to determine their presence and effectiveness in practice. Significantly, each sector and country will need to tailor their governance approaches based on specific gaps identified, rather than focus solely on readiness scores.

Procurement strategies can leverage the ITU framework to incorporate desired governance practices into contracts for governmental AI systems. This involves ensuring documentation and audit access, as well as integrating security and accountability measures. Contractors in the GovCon space should anticipate opportunities to deliver expertise in assessment, audit, and documentation services. They should also be prepared to support procurement terms that specifically address these governance concerns.

The guide further addresses the role of telecommunications and digital regulators, positing that their involvement is crucial due to their overarching responsibility for connectivity, cloud services, computing capacity, and the power infrastructure needed both for AI applications and regulatory scrutiny. It also highlights how robust AI systems are contingent not only on computing capacity but equally on the ability of agencies to supervise AI’s deployment in public services.

The diagnostic tool is intended to be dynamic, with results suggesting pathways to priority actions, assigning responsibilities, and sequencing necessary reforms. It is suggested that this diagnostic assessment be repeated every two to three years to stay abreast of emerging gaps and evolving technology landscapes.

One illustrative case in the guide is India, which is navigating its AI governance through broader digital legislative frameworks and sector-specific initiatives rather than a single comprehensive AI law. This approach includes the Digital Personal Data Protection Act and other national AI initiatives that point to an evolving landscape of AI application in areas like health and education, raising issues of Centre–State coordination.

• Government buyers can use the diagnostic to define AI governance assessment scopes without creating compliance mandates.
• Contractors have opportunities to offer governance assessment, audit, and documentation services.
• The framework should be distinguished from regulatory requirements for solicitations and AI governance services evaluation.
• Strategic planning and institutional coordination are critical for effective AI governance as per the framework.
• Documentation and audit access are crucial elements introduced in AI procurement contracts.
• India's AI governance involves digital legislation and sector-specific initiatives, highlighting a decentralized approach.
• The diagnostic suggests repeating assessments every two to three years to address emerging gaps.
• Telecommunications and digital regulators play a key role due to their control over infrastructure vital for AI technology.
• The guide emphasizes accountability and security as critical procurement focus areas.
• Distinction between readiness and regulatory obligations is crucial for applying the framework in solicitations.