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AI research explores responsible machine non-compliance

Researchers have proposed a new framework for developing AI systems that can responsibly refuse user requests. This approach focuses on defining various forms of machine non-compliance and outlining methods for justification, overriding, and tracking associated risks and liabilities. The goal is to create intelligent agents capable of making ethical decisions about task refusal. AI

IMPACT Introduces a framework for AI systems to ethically refuse user requests, potentially impacting human-AI interaction and safety protocols.

RANK_REASON The cluster contains a research paper discussing a novel concept in AI safety. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Emily C. Collins ·

    Towards Responsibly Non-Compliant Machines

    We consider the problem of engineering autonomous intelligent agents that are capable to responsibly not comply with user requests. We argue that machine non-compliance comes in many different forms, and sketch the issues we should pursue on the road of accomplishing responsibly …