AI and Global Regulation

This research theme explores the differences in how artificial intelligence (AI) is regulated across various socio-economic contexts. It examines the regulatory frameworks, policies, and ethical guidelines adopted by both advanced and developing nations in response to the rapid growth of AI technologies. The theme also explores how global AI standards and local regulations interact, and it seeks to propose equitable regulatory approaches that address disparities in AI governance.

AI and Human Rights: This theme investigated the impact of AI-driven technologies on human rights across different regions and contexts. It explores how AI systems, such as facial recognition, predictive policing, and automated decision-making, affect fundamental rights like privacy, freedom of expression, and equality. The theme highlights the varying ways AI intersects with human rights in advanced and developing regions, taking into account factors like technological infrastructure, societal norms, and legal frameworks. The research also identifies gaps in existing policies and regulations that exacerbate risks, such as bias, lack of accountability, and insufficient oversight, which disproportionately affect marginalised communities. Additionally, it aims to propose appropriate regulatory frameworks and safeguards to mitigate these risks, ensuring that AI technologies are deployed in a way that promotes fairness, transparency, and respect for human rights.

AI Ethics in Governance: This theme assesses the impact of automated decision-making in key public service delivery, focusing on how AI technologies are integrated into government processes such as welfare distribution, law enforcement, healthcare, and social services. It explores the ethical implications of using AI to make decisions that directly affect citizens' lives, examining concerns such as transparency, accountability, bias, and fairness. Additionally, it investigates the role of ethics in the design and implementation of AI tools within public governance, proposing frameworks and guidelines to ensure that AI-driven decision-making aligns with democratic values, human rights, and the public good.

Faculty involved: Aakansha Natani