A workshop position paper categorizes causality-based DNN repair methods and discusses challenges, without presenting new algorithms or experiments.
Causal Learning for Socially Responsible AI
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abstract
There have been increasing concerns about Artificial Intelligence (AI) due to its unfathomable potential power. To make AI address ethical challenges and shun undesirable outcomes, researchers proposed to develop socially responsible AI (SRAI). One of these approaches is causal learning (CL). We survey state-of-the-art methods of CL for SRAI. We begin by examining the seven CL tools to enhance the social responsibility of AI, then review how existing works have succeeded using these tools to tackle issues in developing SRAI such as fairness. The goal of this survey is to bring forefront the potentials and promises of CL for SRAI.
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cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
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Causality-Driven Neural Network Repair: Challenges and Opportunities
A workshop position paper categorizes causality-based DNN repair methods and discusses challenges, without presenting new algorithms or experiments.