pith. sign in

Title resolution pending

The algorithm’s outputs intentionally influence the target’s actions or acceptance of information

1 Pith paper cite this work. Polarity classification is still indexing.

1 Pith paper citing it
browse 1 citing papers

Title metadata for this work has not finished resolving. The hub is built from the citation graph; the title resolver retries DOI and OpenAlex on its next pass.

fields

cs.CY 1

years

2026 1

verdicts

UNVERDICTED 1

clear filters

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.

citing papers explorer

Showing 1 of 1 citing paper after filters.

  • Ethical Implications of Training Deceptive AI cs.CY · 2026-03-10 · unverdicted · none · ref 27

    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.