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Responsible AI Question Bank: A Comprehensive Tool for AI Risk Assessment

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arxiv 2408.11820 v2 pith:FXLU7LLT submitted 2024-08-02 cs.CY cs.AI

classification cs.CYcs.AI
keywords questionbankriskcomprehensiveresponsibletoolassessmentdevelopment
verification ladder T0 review T1 audit T2 compute T3 formal

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The rapid growth of Artificial Intelligence (AI) has underscored the urgent need for responsible AI practices. Despite increasing interest, a comprehensive AI risk assessment toolkit remains lacking. This study introduces our Responsible AI (RAI) Question Bank, a comprehensive framework and tool designed to support diverse AI initiatives. By integrating AI ethics principles such as fairness, transparency, and accountability into a structured question format, the RAI Question Bank aids in identifying potential risks, aligning with emerging regulations like the EU AI Act, and enhancing overall AI governance. A key benefit of the RAI Question Bank is its systematic approach to linking lower-level risk questions to higher-level ones and related themes, preventing siloed assessments and ensuring a cohesive evaluation process. Case studies illustrate the practical application of the RAI Question Bank in assessing AI projects, from evaluating risk factors to informing decision-making processes. The study also demonstrates how the RAI Question Bank can be used to ensure compliance with standards, mitigate risks, and promote the development of trustworthy AI systems. This work advances RAI by providing organizations with a valuable tool to navigate the complexities of ethical AI development and deployment while ensuring comprehensive risk management.

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  1. A Question Bank to Assess AI Inclusivity: Mapping out the Journey from Diversity Errors to Inclusion Excellence

    cs.AI 2025-06 reject novelty 5.0 of 10

    A 253-question bank for assessing AI inclusivity, organized into five pillars, built from guidelines, literature, and LLM assistance, but validated only through AI-generated personas.

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