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AI Governance is my BSc thesis in Global Studies at Universitat Pompeu Fabra (Barcelona, 2024): Decoding the black box of AI governance through a critical and democratic lens. It asks how we should govern a fast-emerging technology like AI so it genuinely serves people and the planet, through the emerging global AI governance regime and a deep case study of Sweden. A study of the emerging global AI governance regime and Sweden's democratic, multi-stakeholder approach — read through Science & Technology Studies and the philosophy of Andrew Feenberg, and anchored in the UN's SDG 17 (Partnerships) and SDG 13 (Climate Action). Mapped the actors shaping AI governance: The OECD, the UN, GPAI and PAI globally; Vinnova, AI Sweden, and civil-society collaborations nationally. Used the philosophy of technology (Andrew Feenberg, STS) to ask not just what AI does, but who it affects and who gets to decide. Found Sweden a pragmatic, democratic example; strong on collaboration and ethics, still challenged on transparency, accountability, and turning principles into practice. Beyond the case study, it argues for genuine multi-stakeholder governance — not performative box-ticking — and for global mechanisms that keep AI inclusive, accountable, and aligned with the SDGs. As Andrew Feenberg — whose philosophy of technology frames this thesis — put it, the design of technology is an “ontological decision with political consequences” (Feenberg, 2002, p. 3).

AI Governance (BSc Thesis) — Carlo Niccolai

AI Governance — BSc Thesis