Featured publications on ethics in artificial intelligence

This sourcebook is essential for understanding the evolving global regulatory landscape of AI ethics, offering a synthesis of policy approaches. It gathers emerging laws, treaties, and governance models from across the globe, exploring how different nations interpret fairness, accountability, and sovereignty through regulation.

This paper offers a forward-looking perspective on ethical and policy challenges for 2026, building on the pivotal shift in 2025 from AI testing to deployment of generative and agentic systems. It provides actionable recommendations for integrating ethical oversight into the AI lifecycle and advocates for AI systems aligned with societal values.

This paper directly addresses the impact of the recently implemented EU AI Act, a crucial regulatory framework, on a high-stakes sector like healthcare. It examines the implications for AI-enabled medical devices, making it highly relevant for current discussions on AI governance.

This publication offers practical guidance for researchers and operational evaluation criteria for ethics committees to ensure patient safety and trustworthy AI deployment in clinical trials. It directly responds to the 2024 EU AI Act, addressing ethical and regulatory challenges in integrating AI into clinical research.

This paper reinforces the importance of considering sociocultural and occupational factors in AI ethics research, crucial for developing globally applicable and effective ethical AI standards. It examines differences in ethical priorities across professions and countries, highlighting variations in perceptions of AI's emotional impact and responsibility.

This publication provides timely insights into the ethical dilemmas and challenges posed by AI in academic publishing, a rapidly evolving area with significant implications for research integrity and fairness. It discusses the impact of AI on traditional copyright systems, intellectual property, and the potential for AI to exacerbate inequality in research access.

This review offers a comprehensive and actionable framework for navigating the complex landscape of AI ethics, bridging theory and practice for scholars, practitioners, and policymakers. It synthesizes publications and key policy developments between 2019 and 2025, framing the field along four meta-dimensions.

This position piece provides a crucial critical perspective on the rapid integration of AI in academic settings, prompting necessary reflection on its ethical implications and potential harms. It argues against the uncritical adoption of AI technologies in teaching and research within universities.

This publication explores a nuanced and increasingly relevant ethical concern as AI capabilities advance, particularly in areas like generative AI where the line between helpful and deceptive can blur. It investigates the ethical risks associated with AI deception and the potential benefits that might be negotiated.

This book offers critical insights into the real-world development and power structures behind leading AI organizations, essential for understanding the ethical landscape of AI. It provides a deeply reported account of how modern AI, especially generative AI, has been built.

This book addresses the critical and urgent concerns surrounding AI safety and existential risk, a prominent ethical debate in the current AI discourse. It presents a formidable synthesis of logic, speculation, and existential warning regarding the potential dangers of superhuman AI.

This collaborative guide provides practical guidance for implementing ethical AI practices, crucial for organizations and individuals navigating the complexities of AI development and deployment. It translates abstract ethical theory into practical governance for various stakeholders.

This book provides a critical analysis of AI's potential benefits and risks in highly sensitive domains, offering guidance for responsible and ethical use. It explores the complex moral dilemmas and opportunities arising from AI's integration into political and security landscapes.

This book lays the foundation for a 'Power-Aware Ethics of AI,' bridging critical philosophy, Science and Technology Studies, and media theory, which is crucial for a nuanced understanding of AI ethics. It offers a critical examination of AI and its deep entanglement with power structures, emphasizing how AI impacts everyday interactions and social norms.

This book directly tackles the crucial intersection of AI ideals and governance, offering a framework for understanding how aspirations translate into regulatory practices. It explores the ideals surrounding AI and how they relate to the governance of AI systems.

Although published in late 2024, its comprehensive nature as a 'companion' makes it a valuable and enduring resource for applied AI ethics in 2026. This book offers a comprehensive focus on the practical application of AI ethics.