Page 83 - AI Governance Day - From Principles to Implementation

AI Governance Day - From Principles to Implementation

Melinda Claybaugh called for a nuanced approach that recognizes the reality of the open
source ecosystem.

"I think we really need to avoid a kind of blanket approach to regulation." (Melinda
Claybaugh)

Ms. Isabella Hampton expressed optimism about initiatives like the National AI Research
Resource (NAIRR), which aims to provide resources for safety research.

Krilla highlighted the importance of collaboration on standardization, involving governments,
civil society, and businesses.

"We're thinking very thoughtfully about how we are looking at releasing these
models and to whom." (Isabella Hampton)

A consensus was reached on the need for a balanced and nuanced approach to the open
source versus proprietary debate. The leaders emphasized that open source and proprietary
models each have their place, depending on the specific context and goals. The discussion
underscored the critical role of open source in fostering innovation, ensuring transparency, and
preventing market consolidation, while also recognizing the need for responsible governance
and collaboration to address potential risks.

5�8 Harmonizing high-tech: the role of AI standards as an
implementation tool

Panelists:
– Seizo Onoe, Director of the Telecommunication Standardization Bureau (TSB),
International Telecommunication Union (ITU)
– Philippe Metzger, Secretary-General & CEO, International Electrotechnical Commission
(IEC)
– Sergio Mujica, Secretary-General, International Organization for Standardization (ISO)

Moderator:

– Bilel Jamoussi, Deputy to the Director and Chief of Telecommunication Standardization
Policy Department, International Telecommunication Union (ITU)

The harmonization of AI standards is essential for addressing the complex challenges and
opportunities presented by AI technologies. The collaborative efforts of ITU, IEC, and ISO are
providing a unified framework for AI standards, ensuring trust, safety, and interoperability.
Through coordinated action and public-private collaboration, these organizations are well-
equipped to lead the way in AI standardization, fostering a sustainable and inclusive digital
future.

73