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Evolutionary Computation applied to Trustworthy AI systems

By PulseAugur Editorial · [1 sources] ·

A new survey paper explores the application of Evolutionary Computation (EC) to enhance Trustworthy AI systems. The paper connects EC's population-based, gradient-free search capabilities to the challenges of developing and defending AI against increasingly complex, system-level attacks. It reviews EC's use in creating evolutionary attacks and defenses, and in the development of self-evolving AI systems where trustworthiness guides adaptation. AI

IMPACT This research could lead to more robust and secure AI systems by leveraging evolutionary computation for both attack and defense strategies.

RANK_REASON The cluster contains a survey paper on a research topic. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.NE (Neural & Evolutionary) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Evolutionary Computation applied to Trustworthy AI systems

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The cluster contains a survey paper on a research topic. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Yew-Soon Ong ·

    Evolutionary Computation for Trustworthy AI: From Attacks and Defenses to Self-Evolving Era

    As Artificial Intelligence (AI) has evolved from task-specific models to foundation models and agents, the scope of trustworthy AI has expanded from model-level robustness to the reliability and safety of broader AI systems. This evolution has also expanded the attack surface fro…

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