Page 36 - AI Governance Day - From Principles to Implementation

AI Governance Day - From Principles to Implementation

• Standards and Global Processes

– Standards Organizations: Leverage existing standards organizations like IEC, ISO, and
ITU; use established processes to develop AI standards.

• Balancing Risks and Opportunities
– Risk Management: Balance AI risks and opportunities, increase investment in AI safety
research.
– Proactive Measures: Ensure AI safety before deployment; involve government to
balance safety and competition.

• Education
– Investment: Invest in AI education and mental health; promote public understanding
and ethical awareness of AI.
• Governance Pace

– Acceleration: Speed up AI governance to match technological advances; establish
liability frameworks and encourage whistleblowers.
– Adaptability: Develop adaptable legislative frameworks; encourage open-source tools
for AI testing and safety.
• Transparency and Accountability

– User Awareness: Ensure users know when they interact with AI; place proof of safety
on AI developers.
– Incentives: Link AI governance to incentives; include diverse perspectives in AI
development.
• AI Safety Institute

– Establishment: Create an AI Safety Institute for enforcing safety and transparency
standards; invest in interoperability to aid integration.

• Flexible and Responsive Legislation

– Adaptability: Develop adaptable legislative frameworks; encourage open-source tools
for AI testing and safety.
– Standards and Certification: Implement ubiquitous standards; offer third-party and
self-certification.

• Risk Management

– Representative Data: Ensure unbiased data sets; invest in computing power, including
quantum computing.
– Mitigating Impact: Create indemnity and risk mitigation strategies.

4�5 Theme 3: how do we ensure inclusion and trust?

4.5.1 Inclusion – connecting the unconnected

ITU has been providing statistics on global connectivity, particularly in terms of Internet access,
for many years.

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