TL;DR
It is argued for the necessity of certain social features in any system that can be ascribed general intelligence, and that the current generation of systems will not scale towards success on these fronts.
It is argued that for advanced AI systems deployed in high-stakes environments the more urgent question may be prudential and strategic, and there is a threshold of evidential and strategic risk beyond which it becomes rationally justified to adopt norms of treatment that include constraints on coercion, deletion, and...
It is suggested that if the view is right, a certain type of moral risk can be averted since researchers are unlikely to stumble into accidentally creating AI models that are conscious, and a new form of AI risk that arises from the view.
The instrumental succession thesis is introduced: that human controllers of powerful AI systems pursue a set of instrumental dispositions that progressively increase the AI’s capabilities and lead to the AI exercising an increasing share of oversight and control over key decisions and processes, resulting in the gradua...
The study’s findings show that the ethical dilemmas associated with artificial intelligence extend beyond technical issues and touch upon fundamental aspects of human existence that require comprehensive reflection and critical analysis and highlight that the philosophy of artificial intelligence is a tool for understa...
Increasingly, scholars warn that artificial intelligence (AI) may replicate or intensify epistemic injustice (EI) in biomedical contexts. This paper argues that such concerns require demonstrable evidence on (i) the actual presence of EI, and (ii) whether EI, if present, makes system effects normatively undesirable. Wi...
There is already evidence of agentic AI exhibiting self-preservation behaviors: resisting deactivation, misrepresenting their activities, and, in some instances, attempting to copy themselves into other machines. This can be attributed to a phenomenon known as instrumental convergence, a theory proposed long before the...
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