IGF 2022 WS #58 Realizing Trustworthy AI through Stakeholder Collaboration

Time
Tuesday, 29th November, 2022 (13:20 UTC) - Tuesday, 29th November, 2022 (14:50 UTC)
Room
CR5

Organizer 1: Barbara Wanner, U.S. Council for International Business
Organizer 2: Nicole Primmer, Business at OECD (BIAC)
Organizer 3: Maylis Berviller, Business at OECD
Organizer 4: Karine Perset, OECD
Organizer 5: Clara Neppel, IEEE
Organizer 6: Jose Antonio Guridi Bustos, Future and Social Adoption of Technology (FAST) unit, Ministry of Economy, Government of Chile
Organizer 7: Pam Dixon, World Privacy Forum
Organizer 8: Abere Shiferaw, Minsitry of Innovation and Technology

Speaker 1: Clara Neppel, Technical Community, Western European and Others Group (WEOG)
Speaker 2: Karine Perset, Intergovernmental Organization, Western European and Others Group (WEOG)
Speaker 3: Pam Dixon, Civil Society, Western European and Others Group (WEOG)
Speaker 4: Andrade Norberto, Private Sector, Western European and Others Group (WEOG)
Speaker 5: Jose Antonio Guridi Bustos, Government, Latin American and Caribbean Group (GRULAC)

Additional Speakers

Correction of Speaker title:

Jose Guridi, Graduate Research and Teaching Assistant, Cornell University, New York

Moderator

Barbara Wanner, Private Sector, Western European and Others Group (WEOG)

Online Moderator

Nicole Primmer, Private Sector, Western European and Others Group (WEOG)

Rapporteur

Maylis Berviller, Private Sector, Western European and Others Group (WEOG)

Format

Round Table - U-shape - 90 Min

Policy Question(s)

1. What important issues have arisen as business and government have endeavored to implement the OECD AI Principles? How are you tackling those challenges? 2. Many governments are in the process of developing AI regulations. What would business, civil society, and the technical community recommend to regulators to strike the balance needed to promote AI innovations while addressing risks? 3. We frequently hear of the need for a cross-disciplinary, multistakeholder approach to harness the benefits of AI. Do you agree, and what is needed to make such collaboration happen both at the national and global levels?

Connection with previous Messages:

Agenda is attached.

 

SDGs

8.2

Targets: SDG 8.2 -- “Achieve higher levels of economic productivity through diversification, technological upgrading and innovation, including through a focus on high value-added and labor-intensive.” By implementing a human-centric approach to trustworthy use of AI, both business and government will help to drive economic growth and productivity by enabling greater efficiencies. Specifically, continued AI innovations already have proven to enhance the provision of healthcare services and diagnosis, improve municipal services and Smart City management, create new professions, and enable educational and training opportunities to facilitate adaptation throughout labor intensive industries.

Description:

Artificial Intelligence (AI) carries great promise for driving economic growth and improving our lives. This innovative technology has the potential to revolutionize how we live, work, learn, discover, and communicate. At the same time, there are growing concerns about the potential use – and misuse -- of AI, which risks undermining personal privacy and online security protections, supporting decision-making biases that exacerbate social inequality, and causing disruptions in the labor market, among other possible pitfalls. The OECD’s ground-breaking AI Principles, adopted in 2019, aim to shape a stable policy environment at the international level to foster trust in and adoption of AI in society. The five values-based principles and five recommendations for government policymakers promote a human-centric approach to trustworthy AI to which all stakeholders are encouraged to aspire. This workshop will utilize the OECD AI Principles as a foundation for considering the technical and operational realities for all stakeholders in implementing tools and processes to ensure the trustworthy use of AI to realize economic development and social welfare needs. We will evaluate concrete examples of how business has endeavored to implement the Principles, consider the technical community’s views on appropriate AI standards, examine civil society’s perspective on using AI to realize the SDGs, and review government efforts to pursue the human-centric development of trustworthy AI. All speakers will reflect on the critical need for collaboration among the entire stakeholder community to realize trustworthy AI.

 

 

Expected Outcomes

o A report of this IGF workshop will be posted on the OECD’s AI Observatory. o This workshop will inform a follow-on report by Business at OECD and/or the U.S. Council for International Business that builds upon Business at OECD’s “Implementing the OECD AI Principles: Challenges and Best Practices,” published in May 2022. o The workshop discussion will inform business, technical community, and civil society interventions in work of the OECD’s AI Governance Working Party (AIGO). o The workshop discussion will inform various stakeholder inputs to the UN Secretary-General’s proposed Global Digital Compact, which promotes regulation of AI.

Hybrid Format: o The on-site moderator will begin the session by using an interactive poll, such as the Mentimeter App, to determine the general level of “trust” among participants about whether AI currently is being used in a responsible, human-centric manner. The on-site moderator then will wrap up the workshop by conducting a final interactive poll to determine how in-person/online participants’ trust level in business and government efforts to utilize AI in a trustworthy manner to promote economic prosperity and address societal needs has improved – or remained the same. o Using the polling App, the on-site moderator also will ask for in-person/online participant preferences for (1) top-down regulation of AI; (2) flexible regulation of AI, informed by stakeholder comments; or (3) no regulation of AI to maximize innovative potential. In the wrap up, the on-site moderator will ask participants whether their views about the extent of AI regulation have been changed, or remain the same, based on what they learned from workshop speakers. o Both the on-site moderator and the remote moderator will undergo training to ensure they both understand how to use the Zoom (or other) software to engage remote participants and communicate with each other. o The on-site moderator will pause following each question or engagement among speakers to ask for questions/comments from both in-person and remote participants. o The remote moderator will manage interventions by the remote speakers, alerting the on-site moderator of the need to recognize a remote speaker who has asked to be recognized via the “raised hand” function. o The remote moderator will watch carefully for “raised hand” questions posed in the chat or Q&A function and alert the on-site moderator or speaker, if addressed to a specific speaker.

Online Participation

 

Usage of IGF Official Tool.

 

Key Takeaways (* deadline 2 hours after session)

- Key takeaway 1: As more and more countries are planning to introduce some type of regulation over AI, all relevant stakeholders should seize this window of opportunity for collaboration to define concepts, identify commonalities and gather evidence in order to improve the effective implementation and enforcement of future regulations before their launch.

- Key takeaway 2: Ensuring that all actors, from both technical and non-technical communities, exchange and work together transparently is critical to developing general principles flexible enough to be applied in various specific contexts and fostering trust for the AI systems of today and tomorrow.

Call to Action (* deadline 2 hours after session)

Stakeholder collaboration remains critical as the global community continues to grapple with how to tap the benefits of AI deployment while addressing the challenges caused by the rapid evolution of machine-learning. Ongoing human control remains critical with deployment of AI advancements to ensuring that "the algorithms do not get out of our control. Critical to this is is breaking down silos between engineers and policy experts.