Recent advances in large language models (LLMs) have produced AI systems capable of generating moral judgments that are frequently indistinguishable from those offered by human ethicists. This development has reignited a longstanding philosophical debate: can artificial systems genuinely engage in ethical reasoning, or do they merely simulate the outward ...

KU Leuven's Institute of Philosophy announced a two-day conference on large-scale AI risks, ethics, safety, and governance, bringing together philosophy, ethics, computer science, engineering, law, international relations, and policy research.

The 5th International Conference on Ethics of Artificial Intelligence is scheduled in hybrid format, with online sessions on June 22-23 and in-person sessions in Zagreb on June 24-26, 2026. The program focuses on ethical and political questions about responsibility, transparency, fairness, privacy, labor, inequality, misinformation, dependency, and governance.

This accepted manuscript is structurally governed by THE META-INDEX (Zenodo DOI: 10.5281/zenodo.18169167) This paper examines the integration of artificial intelligence into human cognitive processes through two conceptual orientations: Instrumental Augmentation and Cognitive Delegation. The central argument is that AI should be understood as a high-capac...

Rice University hosted an international conference in Paris on human flourishing in the age of AI. The event asks how Artificial Intelligence may affect achievement, satisfaction, moral agency, reasoning, dialogue, and the human activities through which people flourish.

The Atlantic reports that AI labs and related contractors are drawing philosophers into model-behavior work, including ethics evaluation, model constitutions, human-AI relationships, and questions of machine consciousness. The piece treats the demand for philosophy expertise as an industry signal rather than a purely academic trend.

This article examines the role of anthropomorphic language in contemporary technical discourse, with particular focus on texts describing artificial intelligence systems and computational algorithms.Anthropomorphismthe attribution of human traits, intentions, emotions, and cognitive capacities to nonhuman entitieshas become a pervasive structuring feature...

Stanford hosted a full-day conference on agentic AI with philosophers, computer scientists, and technology-sector participants. The event centered on whether AI agents count as agents, what their agency means for safety and control, and how non-human artificial agents change the question of what it means to be human.

The misalignment of Artificial Intelligence (AI) with established objectives will lead to a perplexing array of existential risks, ranging from autonomous nuclear defense systems to detrimental United Nations (UN) disaster-response robots, as inadequate value alignment generates semantic and territorial disarray. This groundbreaking study presents ‘Missio...

Varsity reports that Google DeepMind appointed Cambridge philosopher Henry Shevlin to a new Philosopher role starting in May 2026, focused on machine consciousness, human-AI relationships, and Artificial General Intelligence readiness while he continues some Cambridge work part-time.

Olson develops a quantified modal logic for Kant's Formula of Universal Law. The framework is relevant to Philosophy of AI because it tests how far moral principles can be formalized for artificial moral agents.

Magee designs and evaluates an AI tutoring system around recognition and inner dialogue. The project matters for Philosophy of AI because it treats human-machine interaction as a normative and educational relation, not only as a technical interface.

Bartonek proposes a Hegelian alternative to performance-based tests of machine intelligence. The paper is relevant beyond Hegel scholarship because it asks what criteria of Artificial Intelligence would look like if recognition, labour, and self-formation mattered.

This debate-format volume gathers current philosophical disputes about Artificial Intelligence, including moral status, bias, transparency, autonomy, value alignment, authorship, and social risk. It is a broad orientation point for the current state of AI Ethics.