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Ai4people—an ethical framework for a good ai society: Opportunities, risks, principles, and recommendations.Minds and Machines, 28(4):689–707

2 Pith papers cite this work. Polarity classification is still indexing.

2 Pith papers citing it

citation-role summary

background 1

citation-polarity summary

fields

cs.CY 1 cs.NI 1

years

2026 2

verdicts

UNVERDICTED 2

roles

background 1

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background 1

representative citing papers

Ethical Implications of Training Deceptive AI

cs.CY · 2026-03-10 · unverdicted · novelty 7.0

The authors introduce the Deception Research Levels framework, a four-tier risk classification system for deceptive AI research modeled on biosafety levels, with safeguards that increase with assessed risk across ethical, severity, reversibility, scale, and vulnerability dimensions.

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Showing 2 of 2 citing papers.

  • Ethical Implications of Training Deceptive AI cs.CY · 2026-03-10 · unverdicted · none · ref 10

    The authors introduce the Deception Research Levels framework, a four-tier risk classification system for deceptive AI research modeled on biosafety levels, with safeguards that increase with assessed risk across ethical, severity, reversibility, scale, and vulnerability dimensions.

  • Decision-Theoretic Safety Assessment of Persona-Driven Multi-Agent Systems in O-RAN cs.NI · 2026-04-03 · unverdicted · none · ref 54

    A persona-driven multi-agent framework with a three-dimensional decision-theoretic evaluation shows that agent-persona alignment significantly impacts performance and coordination in O-RAN optimization challenges.