AI for Good
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| AI for Good | |
|---|---|
| Name | AI for Good |
| Type | Initiative/Movement |
| Purpose | Applied artificial intelligence for humanitarian and public-interest outcomes |
| Established | Ongoing (21st century) |
| Fields | Artificial intelligence; Machine learning; Data science; Robotics |
| Notable | United Nations, World Health Organization, IBM, Microsoft |
AI for Good AI for Good denotes the use of artificial intelligence technologies to advance humanitarian, public-interest, and sustainable development objectives. It brings together actors from the United Nations, World Health Organization, European Commission, African Union, and private sector leaders such as IBM, Microsoft, Google, and Amazon (company) to apply machine learning, computer vision, natural language processing, and robotics to problems in health, disaster response, agriculture, conservation, and inclusion.
Definition and Scope
The phrase encompasses projects combining research institutions like Massachusetts Institute of Technology, Stanford University, University of Oxford, University of Cambridge, and Carnegie Mellon University with multilateral bodies such as United Nations Development Programme, United Nations Educational, Scientific and Cultural Organization, and World Bank. It spans contributions from NGOs including Amnesty International, Médecins Sans Frontières, Bill & Melinda Gates Foundation, Oxfam, and International Rescue Committee and industry labs like DeepMind, OpenAI, Facebook (Meta Platforms), Baidu, Tencent, and Huawei. Scope covers cross-cutting tools built at centers such as Allen Institute for AI, Max Planck Society, ETH Zurich, Tsinghua University, and Peking University for domains addressed by agencies like Food and Agriculture Organization, United Nations Children's Fund, United Nations High Commissioner for Refugees, and International Monetary Fund.
Key Applications and Sectors
Healthcare applications involve partners such as National Institutes of Health, Centers for Disease Control and Prevention, Johns Hopkins University, Imperial College London, and companies like Siemens Healthineers and GE Healthcare to support diagnostics, epidemiology, and drug discovery. Agriculture and food security projects link CGIAR, International Fund for Agricultural Development, Syngenta, and Corteva Agriscience for yield prediction and pest control. Disaster response and humanitarian logistics are coordinated with Red Cross, Médecins Sans Frontières, United Nations Office for the Coordination of Humanitarian Affairs, and USAID using satellite imagery from European Space Agency, NASA, Planet Labs, and Landsat. Conservation initiatives partner with World Wildlife Fund, Conservation International, National Geographic Society, and Smithsonian Institution for biodiversity monitoring using tools from Esri, Trimble, and DJI. Accessibility and inclusion projects involve World Wide Web Consortium, Microsoft Research Accessibility, Apple Inc., Google Accessibility, and disability organizations such as Scope (charity) and Royal National Institute of Blind People.
Ethical, Legal, and Social Implications
Debates draw on scholarship and institutions like Harvard University, Yale University, Princeton University, University of Chicago, London School of Economics, and policy groups such as Brookings Institution, Chatham House, Rand Corporation, Center for Strategic and International Studies, and Electronic Frontier Foundation. Regulatory frameworks reference instruments and bodies including General Data Protection Regulation, European Court of Human Rights, International Covenant on Civil and Political Rights, United Nations Human Rights Council, and national courts such as the Supreme Court of the United States and European Court of Justice. Ethical guidance originates from organizations like IEEE, Montreal Institute for Learning Algorithms, OpenAI Ethics Council (historic), and advisory panels convened by World Economic Forum and Organisation for Economic Co-operation and Development.
Governance, Policy, and International Initiatives
Global initiatives include forums and coalitions such as the Global Partnership on Artificial Intelligence, UN Secretary-General's Roadmap for Digital Cooperation, AI for Good Global Summit (ITU-hosted), and standards efforts by International Organization for Standardization and International Telecommunication Union. National strategies have been advanced by governments including United Kingdom, United States, China, Canada, France, Germany, India, Japan, and regional blocs like the European Union. Funding and philanthropic coordination involve Gates Foundation, Wellcome Trust, Rockefeller Foundation, MacArthur Foundation, and multilateral funds managed by World Bank Group and Inter-American Development Bank.
Evaluation, Metrics, and Impact Assessment
Assessment frameworks draw from monitoring bodies and research centers including United Nations Development Programme Human Development Report Office, OECD, International Monetary Fund, Pew Research Center, RAND Corporation, and academic initiatives at Columbia University and University of California, Berkeley. Metrics combine quantitative indicators from Sustainable Development Goals targets, health indicators tracked by World Health Organization Global Health Observatory, agricultural indices from Food and Agriculture Organization Corporate Statistical Database, biodiversity measures used by Convention on Biological Diversity, and humanitarian metrics maintained by International Organization for Migration and ReliefWeb partners.
Challenges and Risks
Technical, governance, and social barriers are highlighted by incidents involving corporations and institutions such as Cambridge Analytica, Equifax, Uber, Facebook (Meta Platforms) privacy scandals, and algorithmic bias studies from researchers at MIT Media Lab and Stanford Internet Observatory. Risks include misuse by state and non-state actors referenced in reports by Amnesty International, Human Rights Watch, UN Human Rights Council, and Geneva Centre for Security Policy. Security concerns intersect with entities like NATO, United States Cyber Command, European Defence Agency, and standards bodies such as National Institute of Standards and Technology.
Case Studies and Notable Projects
Notable deployments include collaboration between DeepMind and NHS England on clinical decision support, IBM Watson Health research projects with Memorial Sloan Kettering Cancer Center, Microsoft AI for Earth partnerships with National Geographic Society and Conservation International, Google DeepMind Health (historic) trials, Facebook AI Research accessibility research with Carnegie Mellon University, satellite-based projects with Planet Labs and European Space Agency for disaster mapping used by UN Office for the Coordination of Humanitarian Affairs, and vaccine-development accelerations involving Moderna, Pfizer, BioNTech, National Institutes of Health, and Gates Foundation. Other examples include agricultural platforms from IBM Research and Bayer, predictive-policing debates involving New York Police Department and Chicago Police Department, and climate modeling collaborations with NOAA, Met Office (United Kingdom), Max Planck Institute for Meteorology, and National Center for Atmospheric Research.