Page 30 - AI Standards for Global Impact: From Governance to Action

AI Standards for Global Impact: From Governance to Action

• AI governance should mirror the distributed, resilient, and adaptive nature of neural
networks and internet infrastructure models.
• A multi-layered, multi-stakeholder, and multifaceted approach is required to address
the complexities of AI across different contexts and regions. Broad participation from
governments, civil society, and underrepresented stakeholders is essential for inclusive
governance.
• Standards bodies should prioritize transparency and a diversity of voices in their processes
to address socio-technical challenges effectively.
• The development of measurement and assessment tools is critical for AI governance,
enabling continuous monitoring and adaptation throughout AI systems’ lifecycles.
• Standards provide a foundation for interoperability, facilitating collaboration across
differing legal and regulatory systems.
• ITU’s diverse global membership and expertise in capacity building positions ITU as a key
player in advancing global AI standards.

Figure 20: Cameron F� Kerry, Ann R� and Andrew H� Tisch Distinguished Visiting
Fellow, The Brookings Institution

5�3 Navigating tomorrow: Education, skills, and standards in an AI-
driven workplace

Beena Ammanath, Author “Trustworthy AI” & “Zero Latency Leadership” and Global Deloitte
AI Institute leader, gave a keynote talk highlighting the importance of lifelong learning, robust
standards, and human-AI collaboration to build a more inclusive, innovative future of work, with
key points including:

• Over the past few years, AI has made remarkable advancements, transitioning from niche
use cases to widespread applications in diverse fields such as healthcare, customer service,
and drug discovery. AI is now an integral part of everyday life, offering transformative
potential for good.
• The ability of an organization’s workforce to understand and effectively use AI will be a
key competitive advantage in the future. This requires a focus on workforce education,
skills development, and standards to ensure employees are equipped to work alongside
AI tools.

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