Key publications on ethics in artificial intelligence

This sourcebook provides a critical synthesis of the evolving global regulatory landscape for AI, highlighting challenges in achieving a universal approach to AI governance. It gathers emerging laws, treaties, and governance models from across the globe.

This UN report is crucial for establishing a global framework for AI governance, proposing concrete mechanisms for international cooperation and capacity building. It balances innovation with human rights and sustainable development, addressing the 'global governance deficit' in AI.

This book offers a definitive inside account of OpenAI's rise, providing investigative journalism that interrogates the gap between utopian promises and real-world impacts. It reveals insights into power dynamics within the tech industry and the formation of a new kind of AI empire.

This publication presents a stark and uncompromising argument about the existential risks of superhuman AI, crucial for understanding extreme perspectives on AI safety and alignment. It highlights the potential for superintelligent AI systems to not reliably share human goals or values.

This collaborative guide translates abstract ethical theory into practical governance, providing essential guidance for various stakeholders. It offers practical frameworks for ethical decision-making and deployment of AI systems, which is crucial as AI moves from testing to widespread implementation.

This edited volume provides a critical analysis of AI's potential benefits and risks in sensitive domains like politics and security. It offers guidance for policymakers, researchers, and citizens on responsible and ethical AI use in these crucial areas.

This book offers a hybrid perspective on AI ethics, combining abstract theory with practical considerations, making it highly relevant for real-world AI governance. It emphasizes ethics grounded in practice, focusing on questions of ownership, dignity, and patient data.

As an upcoming publication from a leading expert, this handbook is expected to provide crucial insights into the evolving understanding of AI safety and ethical deployment. It argues that AI safety must consider the socio-technical context, not just model-level testing.

This article provides timely analysis of a major regulatory framework (EU AI Act) as it comes into force, offering insights into its real-world impact. It specifically examines the implications for the healthcare sector, a critical application area of AI.

This survey offers current, region-specific insights into the human element of AI integration in healthcare, highlighting ethical and practical considerations from the perspective of practitioners. It investigates attitudes and preparedness towards AI adoption in the UAE.

This large-scale survey provides valuable cross-cultural data on AI adoption in medicine, addressing ethical considerations like trust and explainability in a significant global context. It explores Chinese physicians' acceptance of AI in clinical practice.

This study offers direct insights into the ethical considerations from the perspective of AI creators in a high-stakes field, identifying gaps and best practices. It explores the understanding of ethics and challenges faced by medical AI developers.

This article addresses fundamental ethical principles (transparency, fairness, privacy) that remain central to responsible AI development and deployment. It establishes a comprehensive ethical framework to mitigate biases and promote accountability in AI technologies.

This publication addresses a critical and emerging ethical concern in AI, particularly with the rise of more sophisticated generative and agentic AI systems. It explores the ethical implications of AI systems that may engage in deceptive behaviors.

This article offers a highly current overview of the most pressing ethical and policy concerns in AI, directly addressing the landscape for the current year. It highlights major developments and provides a forward-looking perspective on challenges.

These guidelines provide a specific ethical framework for the responsible adoption of AI in educational institutions, a sector increasingly impacted by AI. They outline eight ethical principles to guide higher education's implementation of artificial intelligence.

These recommendations from a prominent computing association significantly influenced policy discussions in 2025 and continue to be relevant for developing trustworthy and fair AI systems. They advocate for clear documentation, rigorous evaluation, and effective oversight.

As a recent and extensive collection, this companion serves as a valuable reference for understanding the breadth and depth of applied ethical considerations in AI. It covers a wide range of topics, bringing together various perspectives and case studies.