Partnership on AI

Partnership on AI
Name	Partnership on AI
Founded	September 2016
Founders	Amazon, Facebook, Google, IBM, Microsoft
Type	Non-profit organization
Focus	Artificial intelligence, Ethics of artificial intelligence, Algorithmic bias
Headquarters	San Francisco, California, United States
Key people	Rebecca Finlay (CEO)
Website	https://www.partnershiponai.org/

Partnership on AI. The Partnership on AI is a non-profit research and advocacy organization established to study and formulate best practices on artificial intelligence technologies, to advance the public’s understanding of AI, and to serve as an open platform for discussion and engagement about AI and its influences on people and society. It was founded in 2016 by a consortium of major technology companies and has since expanded to include a diverse array of academic institutions, civil society groups, and other stakeholders from around the globe. The organization aims to ensure that AI advancements are beneficial, safe, and equitable, addressing critical issues such as algorithmic fairness, transparency, and the future of work.

History and formation

The Partnership on AI was announced in September 2016, emerging from collaborative discussions among several of the world's leading technology firms. Its founding members included Amazon, Facebook, Google, IBM, and Microsoft, who sought to create a multi-stakeholder body to address the societal implications of rapid advances in artificial intelligence. The formation was partly a response to growing public and academic concern about the ethical dimensions of AI, following influential reports from institutions like the University of Oxford and the Future of Life Institute. Early leadership included co-chairs Eric Horvitz of Microsoft Research and Mustafa Suleyman, a co-founder of DeepMind. The organization was formally launched at a conference in San Francisco, with initial funding and support from its founding corporate partners.

Mission and objectives

The core mission is to develop and share research about the safe and ethical development of artificial intelligence, promoting broad collaboration between diverse entities. Key objectives include conducting research on AI safety and AI ethics, creating educational resources to improve public literacy on AI systems, and developing tools for algorithmic accountability. The Partnership on AI seeks to foster dialogue among technologists, academics, policymakers from bodies like the European Commission and the White House Office of Science and Technology Policy, and civil society organizations such as the American Civil Liberties Union. A central goal is to ensure that AI systems are aligned with human values and societal needs, addressing challenges like machine learning bias and the impact of automation on the global workforce.

Organizational structure and governance

Governance is designed to be balanced and inclusive, structured to prevent undue influence from any single sector. The board of directors includes representatives from corporate members, academic institutions like Stanford University and the Massachusetts Institute of Technology, and non-profit organizations. An executive director, currently Rebecca Finlay, oversees daily operations from the headquarters in San Francisco. The work is carried out through thematic committees and working groups focused on specific issue areas, such as fairness and transparency or safety-critical AI. These groups are composed of experts from member organizations, including researchers from Carnegie Mellon University and advocates from Human Rights Watch, ensuring a multiplicity of perspectives in all published guidelines and frameworks.

Key initiatives and projects

Notable initiatives include the "About ML" project, which focuses on improving the documentation and transparency of machine learning systems, and the "Synthetic Media" project, which explores the societal implications of technologies like deepfakes. The Partnership has published several influential toolkits and reports, such as guidelines for assessing the algorithmic bias in hiring tools and a framework for community engagement in AI development. It frequently collaborates on research with entities like the AI Now Institute and hosts public events, including the annual Partnership on AI Benefit conference, to disseminate findings and foster debate among experts from OpenAI, the United Nations, and the Brookings Institution.

Member organizations and partners

Membership is diverse, encompassing over 100 partners from industry, academia, and civil society. Founding technology companies remain involved, alongside later joiners like Apple, Intel, and Sony. The academic roster includes prestigious universities such as the University of California, Berkeley and the University of Cambridge. A significant number of non-profit and advocacy organizations are also members, including the Electronic Frontier Foundation, Data & Society, and the Ada Lovelace Institute. This broad coalition facilitates cross-sector collaboration on global challenges, with partners contributing research, funding, and practical expertise to the organization's various working groups and public reports.

Impact and criticism

The Partnership on AI has shaped industry norms and policy discussions by producing widely cited research on responsible AI and serving as a convening body for stakeholders. Its publications have informed regulatory debates within the European Union and legislative efforts in the United States Congress. However, it has faced criticism from some scholars and activists who argue that its close ties to major technology corporations, sometimes called "Big Tech," may limit its ability to advocate for stringent regulation or to critically examine the business models of its own members. Critics from organizations like the AI Now Institute have questioned whether multi-stakeholder initiatives can effectively govern a field where corporate power is so concentrated, suggesting that more independent oversight from bodies like the Federal Trade Commission may be necessary.

Category:Artificial intelligence organizations Category:Technology think tanks Category:Organizations based in San Francisco Category:Organizations established in 2016