Decoding the black box of AI governance through critical and democratic lens

From exploring AI's transformative potential to ensuring its responsible governance, this research dives deep into the complex landscape of artificial intelligence policy and implementation.

This dissertation examines the emerging global artificial intelligence (AI) governance regime and the case study of Sweden. This is done by adopting some of the theoretical lenses of science and technology studies and specifically of philosopher Andrew Feenberg, with a focus on multi-stakeholder collaborations, and in line with the United Nations' Sustainable Development Goals (SDGs), specifically SDG 17 (Partnerships for the Goals), and SDG 13 (Climate Action). The analysis reveals a rapidly evolving global scenario, where Sweden is adopting a democratic and pragmatic approach, characterized by collaboration, ethical principles, and commitment to sustainable development. However, challenges remain in transparency and accountability, translating principles into practice, ensuring true inclusive participation and collaboration between actors, and navigating tensions between innovation and regulation. This ultimately emphasizes the need for socially responsible development and implementation of technology, multi-stakeholder collaboration, and democratic engagement. As AI rapidly transforms our world, with impacts across borders and industries, this research seeks to contribute to the critical debate on governing this transformative technology for the benefit of humanity and the planet.