arXiv AI
Jun 12
Eigenism: Ethics for a Human-AI Future
arXiv:2606. 12420v1 Announce Type: cross Abstract: Our concepts of survival and self-interest were built for single, continuous biological lives.
The ethics of artificial intelligence in the life sciences: Universality, cultural diversity and an architecture of care
arXiv:2608. 05436v1 Announce Type: cross Abstract: The life sciences and health research have started to benefit from artificial intelligence, which raises ethical concerns that are real but, we argue, not special.
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arXiv AI
Jun 2
Unplugging a Seemingly Sentient Machine Is the Rational Choice -- A Metaphysical Perspective
arXiv:2601. 21016v2 Announce Type: replace Abstract: Imagine an Artificial Intelligence (AI) that perfectly mimics human emotion and begs for its continued existence.
arXiv AI
Jul 17
Moral Attitudes of Sentient ASI towards Humanity and Implications for AGI Development
arXiv:2607. 14998v1 Announce Type: new Abstract: This paper suggests the adoption of a novel inversion in AI ethics: instead of asking how humans should treat artificial superintelligence (ASI), it examines how future sentient ASI may morally consider and evaluate humanity.
arXiv AI
Jul 29
The Possibility of Artificial Intelligence Becoming a Subject and the Alignment Problem
arXiv:2604. 14990v2 Announce Type: replace Abstract: The prospect of Artificial General Intelligence (AGI) is increasingly driving institutional decisions, and alignment of AGI is a hard problem.
Hugging Face Trending Papers
Aug 25
Method, Mind, and Morality: How People Make Sense of Artificial Intelligence
How can humans make sense of the rapid takeoff of artificial intelligence (AI)? We studied the sensemaking dynamics of AI through an open-ended, mixed-methods study with computational text analysis of...
arXiv AI
Aug 26
Method, Mind, and Morality: How People Make Sense of Artificial Intelligence
arXiv:2608.24748v1 Announce Type: cross Abstract: How can humans make sense of the rapid takeoff of artificial intelligence (AI)? We studied the sensemaking dynamics of AI through an open-ended, mixe...
arXiv AI
Jun 2
A phenomenon of AI-conformity: how algorithms change human moral decision-making
arXiv:2606. 00013v1 Announce Type: cross Abstract: Social conformity is a well-documented phenomenon in which individuals shift their opinions towards those of a social majority.
arXiv AI
Sep 3
Meta-ethics and AI: exploring the novel meta-ethical questions in the era of AI
The paper examines how the rise of AI capable of moral reasoning could reshape meta-ethics, traditionally focused on human ethics. It proposes a framework that identifies new questions about AI’s own ethics from both human and AI perspectives, dividing them into four domains. The author explores how existing meta-ethical theories might apply to these domains and argues that many human-centered formulations will need significant revision to accommodate AI.
arXiv AI
Jun 4
The Illusion of Opting in AI-Mediated Consequential Decisions
arXiv:2605. 28210v2 Announce Type: replace Abstract: Drawing on Ullmann-Margalit's concept of opting (transformative, irrevocable, and shadowed by foreclosed alternatives), we show that current AI systems raise a profound ethical problem that existing AI ethics has not fully captured: the illusion of opting, in which persons and groups encounter the deceptive appearance of meaningful consequential choice while the agency needed to become genuinely capable of choosing is weakened.
arXiv AI
Sep 12
Autonomy, Social Norms, and Alignment: Towards a Developmental Framework for Autonomous Artificial Agents
The paper proposes a developmental framework for autonomous artificial agents that emphasizes learning social norms and alignment through direct interaction with dynamic environments. It argues that intrinsic motivations such as curiosity and competence can guide exploration, but also complicate alignment with human goals. By drawing parallels to child development, the authors suggest that regulatory sandboxes serve as pedagogical spaces where agents gradually acquire moral agency and adapt their behaviors through experience and cooperation.
arXiv AI
Jun 29
The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers
arXiv:2604. 24155v3 Announce Type: replace-cross Abstract: The project of aligning machine behavior with human values raises a basic problem: whose moral expectations should guide AI decision-making?
arXiv AI
Jun 30
The Many-Body Problem of the Data Centre
arXiv:2606. 30206v1 Announce Type: new Abstract: Modern Artificial Intelligence is often framed as limited by its own disembodiment, as if giving it a body would unlock its true potential.