Ethical, equitable and interoperable international risks
Ethical Risks
We are already seeing broken hiring algorithms, flawed facial recognition systems, and deepfakes that mess with public trust. These failures are happening today. This group of resources gives us the framework to analyse these issues clearly and build real accountability. It covers everything from human rights laws to engineering standards. The goal is simple. We have to make sure AI actually serves the public interest instead of breaking it.
Equitable Risks
When a tiny group of tech companies in a few wealthy nations controls the development of AI, the technology reflects their blind spots. It is never neutral. This section looks closely at who wins and who loses. We look at automation replacing workers, communities left behind, and the people who bear the brunt of the mistake.
Interoperable International Risks
AI systems do not care about geographic borders, but regulators certainly do. Right now, there is a massive disconnect between a borderless technology and a patchwork of conflicting national laws. These documents track everything from European Union mandates to United Nations guidelines. They all point to the same truth. If countries cannot get on the same page and align their rules, holding these massive tech systems accountable will be practically impossible.
Ethical Risks
AIHLEG – European Commission’s High-Level Expert Group on Artificial Intelligence (2019)
Ethics Guidelines for Trustworthy AI. European Commission
AlgorithmWatch (2020)
AI Ethics Guidelines Global Inventory
Birhane, A. (2021)
Algorithmic injustice: A relational ethics approach. Patterns, 2(2), 100205
Carnegie Council for Ethics in International Affairs (2024)
Artificial Intelligence & Equality Initiative
Coeckelbergh, M. (2012)
Technology as Skill and Activity: Revisiting the Problem of Alienation. Techné, 16(3), pp. 208–230
Coeckelbergh, M. (2020)
AI Ethics. Cambridge, MA: The MIT Press
Coeckelbergh, M. (2022)
The Political Philosophy of AI. John Wiley & Sons
Coghlan, S. & Parker, C. (2023)
Harm to Nonhuman Animals from AI: A Systematic Account and Framework. Philosophy & Technology, 36, Article 25
Crawford, K. (2021)
Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. Yale University Pres
Dubber, M. D., Pasquale, F. & Das, S. (2020)
The Oxford Handbook of Ethics of AI. Oxford University Press
Fjeld, J., Achten, N., Hilligoss, H., Nagy, A. & Srikumar, M. (2020)
Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI. Berkman Klein Center for Internet & Society
Floridi, L. et al. (2018)
AI4People - An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations. Minds and Machines, 28(4), pp. 689–707
Green, B. (2018)
Artificial Intelligence, Decision-Making and Moral Deskilling. Markkula Center for Applied Ethics
Grimmelmann, J., Reid, B. & Rozenshtein, A. (2024)
Generative Baseline Hell and the Regulation of Machine-Learning Foundation Models. Lawfare
Johnson, K. (2022)
How Wrongful Arrests Based on AI Derailed 3 Men’s Lives. WIRED
PauseAI (n.d.)
Risks of Artificial Intelligence
Royakkers, L., Timmer, J., Kool, L. & van Est, R. (2018)
Societal and Ethical Issues of Digitization. Ethics and Information Technology, 20(2), pp. 127–142
Schuett, J., Reuel, A. & Carlier, A. (2023)
How to Design an AI Ethics Board. GovAI
Seger, E. et al. (2020)
Tackling Threats to Informed Decision-Making in Democratic Countries: Promoting Epistemic Security in a Technologically-Advanced World. Cambridge: Centre for the Study of Existential Risk
Silberg, J. & Manyika, J. (2019)
Tackling Bias in Artificial Intelligence (and in Humans). McKinsey Global Institute, 6 June
Smuha, N. A. (ed.) (2025)
The Cambridge Handbook of the Law, Ethics and Policy of Artificial Intelligence. Cambridge University Press
Sri Yash Tadimalla & Maher, M. L. (2024)
Implications of Identity in AI: Creators, Creations, and Consequences. Proceedings of the AAAI Symposium Series, 3(1), pp. 528–535
UNESCO (2022)
Recommendation on the Ethics of Artificial Intelligence. SHS/BIO/PI/2021/1. Paris: UNESCO
Vosoughi, S., Roy, D. & Aral, S. (2018)
The Spread of True and False News Online. Science, 359(6380), pp. 1146–1151
Wallach, W. (2024)
A Dangerous Master. Sentient Publications
Wallach, W. & Allen, C. (2008)
Moral Machines: Teaching Robots Right from Wrong. Oxford University Press
Zuboff, S. (2019)
The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. New York: Public Affairs
Equitable Risks
Abiero, D. (2024)
Ethical AI Development in Africa: Integrating Cultural Values and Addressing Global Disparities. CIPIT, Strathmore University
Abungu, C., Iradukunda, M. V., Cass-Beggs, D., Hassan, A. & Sayidali, R. (2024)
Why Global South Countries Need to Care About Advanced (Highly Capable) AI. Centre for International Governance Innovation (CIGI)
Acemoglu, D. & Johnson, S. (2024)
Power and Progress: Our Thousand-Year Struggle Over Technology and Prosperity. New York: PublicAffairs
Amnesty International (2021)
Digitally Divided: Human Rights and Digital Inequality. London: Amnesty International
Birhane, A., Isaac, W., Prabhakaran, V., Díaz, M., Elish, M. C., Gabriel, I. & Mohamed, S. (2022)
Power to the People? Opportunities and Challenges for Participatory AI. arXiv preprint
Carnegie Endowment for International Peace (2024)
Advancing a More Global Agenda for Trustworthy Artificial Intelligence
Clark, G. (2007)
A Farewell to Alms. Princeton, NJ: Princeton University Press
Crawford, K. (2021)
Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. Yale University Press
Dennis, C., Manning, S., Clare, S., Wu, B., Effoduh, J. O., Okolo, C. T., Heim, L. & Klinova, K., (2025)
Options and Motivations for International AI Benefit Sharing. GovAI
Effoduh, J. O. (2024)
A Global South Perspective on Explainable Artificial Intelligence. Carnegie Endowment for International Peace
Farhad, S. (2025)
Passengers in Flight: AI Governance Capacity in the Global South. AI and Ethics
G20 Social Summit (2025)
G20 Social Summit Declaration
Georgieva, K. (2024)
AI Will Transform the Global Economy-Let’s Make Sure It Benefits Humanity. International Monetary Fund
Giersberg, M. (2025)
Animals: The Forgotten Stakeholders in AI Ethics Discourses? Utrecht University Research Portal, pp. 17–17
Gmyrek, P., Berg, J. & Bescond, D. (2023)
Generative AI and Jobs: A Global Analysis of Potential Effects on Job Quantity and Quality. International Labour Organization
Institute for Global Change (2025)
How Leaders in the Global South Can Devise AI Regulation that Enables Innovation. Tony Blair Institute
Inuwa-Dutse, I. (2023)
FATE in AI: Towards Algorithmic Inclusivity and Accessibility. arXiv preprint
International Monetary Fund (n.d.)
AI Preparedness Index (AIPI)
Kenny, C. (2019)
Automation and AI: Implications for African Development Prospects? Center for Global Development
Khan, R. (2025)
From AI Colonialism to Co-Creation: Bridging the Global AI Divide. LSE Media Blog
Li, S. & Guo, C. (2025)
Local Externalities of Generative AI Infrastructure. SSRN
Mathur, V. & Chamuah, A. (2025)
Navigating AI and Climate Change in an Unequal World
Modern Diplomacy (2025)
AI Governance in the Global South: Turning Risk into Relevance
Mohamed, S., Png, M. T. & Isaac, W. (2020)
Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence. Philosophy & Technology, 33(4), pp. 659–684
Muldoon, J., Graham, M. & Cant, C. (2024)
Feeding the Machine: The Hidden Human Labour Powering AI. Edinburgh: Canongate Books
Nwachukwu, N. M., Roberts, J. S. & Montoya, L. N. (2023)
The Glamorisation of Unpaid Labour: AI and Its Influencers. arXiv preprint
O’Keefe, C. et al. (2019)
The Windfall Clause: Distributing the Benefits of AI for the Common Good. arXiv preprint
Okolo, C. T. (2023)
AI in the Global South: Opportunities and Challenges Towards More Inclusive Governance. Brookings Institution
Oxford Internet Institute (2025)
When AI Doesn’t Understand You: A New Form of Global Digital Inequality. Undark Magazine
Park, S. (2023)
Bridging the Global Divide in AI Regulation: A Proposal for a Contextual, Coherent, and Commensurable Framework
Peppiatt, C. (2024)
The Future of Work: Inequality, Artificial Intelligence, and What Can Be Done About It. arXiv
Radiya-Dixit, E. & Christin, A. (2025)
Moving Beyond the Term “Global South” in AI Ethics and Policy. Stanford HAI Policy & Society Issue Brief
Roche, C., Lewis, D. & Wall, P. J. (2021)
Artificial Intelligence Ethics: An Inclusive Global Discourse. arXiv preprint
Seger, E. et al. (2023)
Democratising AI: Multiple Meanings, Goals, and Methods. GovAI
Shams, R. A. (2025)
AI and the Quest for Diversity and Inclusion: A Systematic Review. AI and Ethics
Stiglitz, J. (2013)
The Price of Inequality. London: Penguin Books
TechPolicy.Press (2025)
Global Goals, Local Realities: Aligning AI Governance with Inclusion
Tse, Y. F. et al. (2025)
AI Alignment: The Case for Including Animals. Philosophy & Technology, 38, Article 139
Tubaro, P. et al. (2025)
The Digital Labour of Artificial Intelligence in Latin America
UNDP Regional Bureau for Asia and the Pacific (2025)
The Next Great Divergence: Why AI May Widen Inequality Between Countries. United Nations Development Programme
UNECA (2023)
Digital Transformation Strategy for Africa (2020–2030). Addis Ababa: UNECA
United Nations Economic Commission for Africa (2022)
AI for Africa: Policy and Strategy Report. Addis Ababa: UNECA
United Nations (via The Guardian) (2024)
Global AI Fund Needed to Help Developing Nations Tap Tech Benefits, UN Says. The Guardian
Vijayakumar, A. (2024)
AI Ethics for the Global South: Perspectives, Practicalities, and Priorities. Research & Information System for Developing Countries (RIS)
Wall, P. J., Saxena, D. & Brown, S. (2021)
Artificial Intelligence in the Global South (AI4D): Potential and Risks. arXiv preprint
West, S. M., Whittaker, M. & Crawford, K. (2019)
Discriminating Systems: Gender, Race and Power in AI. AI Now Institute
Zuboff, S. (2019)
The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. New York: PublicAffairs
Interoperable International Risks
Faveri, B., Shank, C., Whitt, R. & Dawson, P. (2025)
Closing the Gaps in AI Interoperability. Tech Policy Press
Prompts.ai (2025)
Interoperability Standards for AI Compliance
SEMIC Support Centre (2023)
AI for Interoperability. Interoperable Europe Portal
Shaping Europe’s Digital Future (n.d.)
Rolling Plan for ICT Standardisation. European Commission
UNESCO (2024)
Enabling AI Governance and Innovation through Standards
