Hui reconstructs the AI debate as a repetition of historical tensions between rationalism and empiricism and reads Kant's transcendental philosophy as a key to the ethical-political analysis of AI and robotics. It is the most important programmatic reappropriation of Kant for the ChatGPT era.

A debate-format volume with contributions by leading philosophers and computer scientists on AI moral status, algorithmic bias, transparency, autonomy, value alignment, and the social risks of AI. It includes contributions by Mark Coeckelbergh and David Gunkel on generative AI and authorship, among others.

A systematic companion to the applied philosophy of AI, with dedicated chapters on consequentialism, deontology, and virtue ethics. It includes in particular T. M. Powers's Deontology in AI — a compact survey of deontological (including Kantian) AI ethics.

A philosophical introduction to large language models from the perspectives of philosophy of language, communication theory, and intellectual history. It examines what LLMs mean for language, consciousness, truth, and authorship. It is relevant as a critical determination of what LLMs do not achieve: AI systems can produce language without thereby becoming Kantian moral agents.

A comprehensive handbook on the law, ethics, and politics of AI, with a strong European and AI Act focus. It includes, among others, Vincent C. Müller's "Philosophy of AI" and Buijsman/Klenk/van den Hoven on "Ethics of AI: towards a 'design for values' approach." It is crucial for translating abstract normative principles into concrete regulatory and governance structures.

A Kantian theory of the duty to protect one's own autonomy against attention-stealing, addiction-inducing technologies. Although the book is not primarily about LLMs, it is directly relevant to recommender systems, social-media AI, persuasive designs, and LLM-based attention economies. It provides a Kantian vocabulary for autonomy harms caused by AI systems.

Twenty-four short essays by prominent philosophers on the most urgent ethical questions of AI: privacy, bias, transparency, responsibility, autonomy, moral status, work, war, politics, and the environment. Not explicitly Kantian, but an indispensable overview of the moral terrain into which a Kantian AI ethics must speak after ChatGPT.

Vallor develops the mirror metaphor: AI reflects collective human patterns without itself possessing intelligence in the human sense. The book works out what distinguishes human cognitive and moral capacities from AI systems and argues for reclaiming these capacities against their algorithmic mirroring. Although grounded in virtue ethics, it is important for the Kantian position as a diagnostic counterpoint and as an argument against functionalist reductions of reason and judgment.

A central recent German-language edited volume on the ethics of AI, emerging from the Munich School of Philosophy. It addresses responsibility, decision-making and judgment, digitalization, datafication, and trust in AI systems. It is one of the most important recent German-language reference volumes, especially because of Koska/Prugger/Jörg/Reder on the shift of trust from humans to machines.

Floridi's major programmatic work in AI ethics. It develops the thesis of an "unprecedented divorce between agency and intelligence" and systematizes five principles (beneficence, non-maleficence, autonomy, justice, explicability). Not Kantian, but indispensable as a prominent principles-based ethical countermodel to Kantian AI ethics.

A systematic introduction to the ethics of AI, robots, autonomous vehicles, and social media. It treats classical moral theories — including Kantianism — as tools for technology ethics. Useful as a teaching bridge and as an Anglophone state of the art with a clear connection to the responsibility debate.

Thirty-two short original contributions in five sections (perspectives on technology, the good life, information technology, business, biotechnology/enhancement). The book contains Ava Thomas Wright's "A Kantian Course Correction for Machine Ethics" and several contributions explicitly treat Kantian and deontological positions on AI.

To date, the only international edited volume programmatically titled Kant and Artificial Intelligence. It treats self-consciousness, mind, ethics, law, and aesthetics from a Kantian perspective in light of AI. Schönecker's "Why Practical Reason Cannot Be Artificial," Wright's "Rightful Machines," Benossi/Bernecker on robot ethics, and the contributions on machine autonomy are direct building blocks for the field. Through its 2023 paperback edition, it is also relevant to the ChatGPT period.

A foundational robot-ethics volume covering autonomy, responsibility, war, care, sex robots, rights, and machine morality. It is not a Kant-only volume, but it contains Anthony F. Beavers's important chapter “Moral Machines and the Threat of Ethical Nihilism” and several debates in which Kantian deontology, moral agency, and rule-governed moral machines are central reference points.

The classic edited volume of early machine ethics. It collects foundational papers on artificial moral agents, top-down and bottom-up machine ethics, medical ethics advisors, moral reasoning systems, and philosophical objections. Thomas M. Powers's “Prospects for a Kantian Machine” is included as chapter 26.

One of the first book-length treatments of machine morality. Wallach and Allen distinguish operational, functional, and full moral agency and discuss top-down approaches such as utilitarianism and Kantian deontology alongside bottom-up and hybrid methods.