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 prepared Discussion Papers that were presented to the wider PNAI community in October 2024. The Sub-groups were led by volunteer Sub-group leaders and shared their progress with the PNAI Multistakeholder Working Group (MWG). See PNAI’s 2024 Work Plan to learn more about the process. Reports, insights and recommendations on the four topics will be published on PNAI website and presented at the 19th annual IGF meeting, to be held in Riyadh, Kingdom of Saudi Arabia, in December 2024.

 


The Sub-groups organized regular online meetings to discuss, debate and learn. Experts and individuals interested in exploring these topics were welcomed to contribute. Please see below information on each group.

liability_pnai

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: Caroline Friedman Levy ([email protected]) and Umut Pajaro Velasquez ([email protected])
  • How to contact the Sub-group: Send email to Team leaders 
  • Meetings: The Sub-group held regular online meetings in 2024. Invitations were sent to members + shared through the PNAI mailing list.

labor_pnai

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: Olga Cavalli ([email protected]) and Germán López ([email protected])
How to contact the Sub-group: Email Team leaders.
Meetings: The Sub-group held regular online meetings in 2024. Invitations were sent to members directly + shared through the PNAI mailing list  


env_pnai

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. 

governance_pnai

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.