Abstract
The AI Commons was born in 2017 from the collective efforts of a group of individuals and organizations towards sharing AI resources in order to harness it for social and economic improvement. Foundational workshops, reflections, and gatherings resulted in the identification and formulation of an open knowledge and collaborative framework. This idea has led to the formation of an international nonprofit organization – the AI Commons.
The organization has gathered experts in academia, industry, startups, international organizations, nonprofits and beyond to support the creation of a knowledge hub in problem solving with AI that can be accessible by anyone. The hub is based on the concept of a collaboration framework and access to AI resources. It is intended to help accelerate identifying problems that can benefit from AI capabilities on a global level. It also aims to be a catalyst for supporting diversity and inclusivity in AI applications and to inform governance, policy making, and investments around the deployment of beneficial AI solutions.
The AI Commons held a workshop on Oct 28th, 2019, in Paris during the Global Forum on AI for Humanity (GFAIH). The workshop followed previous sessions held at the Global Governance of AI Forum in Dubai (World Government Summit; February 2019), in Montreal (March 2019), and at the AI for Good Global Summit in Geneva (ITU, XPRIZE and UN agencies; May 2019).
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Notes
- 1.
For discussion of use cases and risks see Miailhe, N. et al. 2020. “AI for Sustainable Development Goals,” Delphi - Interdisciplinary Review of Emerging Technologies, Volume 2, Issue 4 (2020).
- 2.
For additional information on the risks AI poses to societies, including risks particular to the global South; see The Future Society and The World Bank, 2020. Harnessing Artificial Intelligence for Development: A new policy and regulatory framework. (forthcoming).
- 3.
XPRIZE AI competition survey in 2016, and reports from AI For Good Global Summit, 2017, 2018.
- 4.
“The OECD Artificial Intelligence (AI) Principles - OECD.AI”. 2019. https://oecd.ai/ai-principles.
- 5.
Crawford, Kate et al. AI Now 2019 Report. New York: AI Now Institute, 2019, https://ainowinstitute.org/AI_Now_2019_Report.html.
- 6.
- 7.
Organized by XPRIZE and ITU: https://www.itu.int/en/ITU-T/AI/Pages/201706-default.aspx.
- 8.
Quebec AI Insitute: https://mila.quebec/.
- 9.
At the May 2018 AI for Good conference organized by XPRIZE, ITU and UN agencies, a ‘Data Commons’ concept was proposed as a key enabler for supporting projects that use AI to predict, monitor, measure and make progress towards the UN Sustainable Development Goals (SDGs). Supported by multi-stakeholder actors, the proposal was spearheaded by XPRIZE, along with Ocean Protocol, and reported by The Berkman Klein Center at Harvard University, among others.
- 10.
See also chapter 3 of this book.
- 11.
“Launch of The Global Partnership on Artificial Intelligence By 15 Founding Members (15 Jun. 20)”. 2020. France Diplomacy - Ministry for Europe And Foreign Affairs. https://www.diplomatie.gouv.fr/en/french-foreign-policy/digital-diplomacy/news/article/launch-of-the-global-partnership-on-artificial-intelligence-by-15-founding.
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Banifatemi, A., Miailhe, N., Buse Çetin, R., Cadain, A., Lannquist, Y., Hodes, C. (2021). Democratizing AI for Humanity: A Common Goal. In: Braunschweig, B., Ghallab, M. (eds) Reflections on Artificial Intelligence for Humanity. Lecture Notes in Computer Science(), vol 12600. Springer, Cham. https://doi.org/10.1007/978-3-030-69128-8_14
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