The Policy Network on AI has four active Sub-groups in 2024:
- Sub-group on Liability as a mechanism for supporting AI accountability
- Sub-group on Labour issues throughout AI’s life cycle
- Sub-group on AI Governance, interoperability and good practices
- Sub-group on Environmental Sustainability within Generative AI value chain
PNAI Sub-groups are currently preparing Discussion Papers that will be presented to the wider PNAI community in October 2024. See PNAI’s 2024 Work Plan to learn more about this process. The Sub-groups are led by Sub-group leaders and share their progress with the PNAI Multistakeholder Working Group (MWG).
The Sub-groups organize regular online meetings to discuss, debate and learn. Experts and individuals interested in exploring these topics are warmly welcome to contribute. Please see below information on each group, including how to join the meetings.
Sub-group on Liability as a mechanism for supporting AI accountability
The Sub-group explores mechanisms for governance frameworks to incorporate accountability principles that include financial liability for AI systems across the lifecycle. Clarifying financial liability will incentivize AI developers to adequately safeguard against harms caused by bad or careless actors damaging to individuals, communities and societies. Additionally, liability frameworks can serve as resilient policy mechanisms for reducing harms, taking into account that this fast-evolving technology can quickly outgrow monitoring and auditing-based oversight regimes.
- Team Leaders / Contact: Caroline Friedman Levy ([email protected]) and Umut Pajaro Velasquez ([email protected])
- How to join the Sub-group: Send email to Team leaders
- Meetings: Next Zoom meeting on Wednesday 18 September. at 15:00 UTC. Regular online meetings. Invitations are sent to members + shared through the PNAI mailing list
- Read the latest materials: Liability materials in Google Docs
Sub-group on Labour issues within AI’s life cycle
The Sub-group studies labor issues related to AI systems' lifecycle and analyzes both the opportunities and challenges they pose. We recognize the importance of governance frameworks throughout AI’s lifecycle to guarantee that all relevant stakeholders are taken into account, in order to protect workers rights while also promoting technological innovation. On that note we will provide recommendations on how to better assess the labor related issues through AI’s lifecycle, and how to promote meaningful policy discussions that defend a human-centered and human rights based development and deployment of AI systems in the labor market.
Team Leaders / Contact: Olga Cavalli ([email protected]) and Germán López ([email protected])
How to join the Sub-group: Email Team leaders to join
Meetings: Next Zoom meeting on Friday 13 September, at 13:00 UTC. Regular online meetings. Invitations are sent to members directly + shared through the PNAI mailing list
Read the latest materials: Labour materials in Google Docs
Sub-group on Environmental Sustainability and the Generative AI value chain
The Sub-group focuses on environmental considerations and assessing and mitigating the environmental footprint of AI technologies across the entire Generative AI value-chain, which range from considerations of fairness in access and availability of high-quality environmental data to understanding the materiality and intense consumption of natural resources associated with AI. The Group is gathering and analyzing case studies from around the world that highlight best practices to mitigate the negative environmental impacts of AI.
- Team Leaders / Contact: Shamira Ahmed ([email protected]) and Mohd Asyraf Zulkifley ([email protected])
- How to join the Sub-group: register to the Sub-group mailing list to receive updates and meeting invitations.
- Meetings: Next meeting Tuesday 24 September at 13:30 UTC. Recurring meeting every second Tuesday. Invitations are shared through the Sub-group mailing list + the PNAI mailing list
- Read the latest materials: Environment materials in Google Docs
Sub-group on AI governance, Interoperability, and Good practices
The Sub-group analyzes how different AI regulatory, guidance, and policy initiatives across the world could work together to foster a harmonious coexistence among AI systems. The work aims at developing multistakeholder recommendations on increasing interoperability of AI governance at the global level.
- Team Leaders: Amado Espinosa ([email protected]), Sergio Mayo ([email protected]), Yik Chan Chin ([email protected]) and Chafic Chaya ([email protected])
- How to join the Sub-group: register to the Sub-group mailing list to receive all updates and meeting invitations. Invitations are also shared through the PNAI mailing list. Please contact Muriel Alapini ([email protected]) for any questions.
- Meetings: Biweekly online meeting on its activities
- Read the latest materials: AI governance materials in Google Docs