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Responsible Artificial Intelligence: A Structured Literature Review

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arxiv 2403.06910 v1 pith:65V6NX2P submitted 2024-03-11 cs.AI cs.CYcs.LG

classification cs.AIcs.CYcs.LG
keywords responsibleapproachartificialconceptfutureintelligenceliteratureneed
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Our research endeavors to advance the concept of responsible artificial intelligence (AI), a topic of increasing importance within EU policy discussions. The EU has recently issued several publications emphasizing the necessity of trust in AI, underscoring the dual nature of AI as both a beneficial tool and a potential weapon. This dichotomy highlights the urgent need for international regulation. Concurrently, there is a need for frameworks that guide companies in AI development, ensuring compliance with such regulations. Our research aims to assist lawmakers and machine learning practitioners in navigating the evolving landscape of AI regulation, identifying focal areas for future attention. This paper introduces a comprehensive and, to our knowledge, the first unified definition of responsible AI. Through a structured literature review, we elucidate the current understanding of responsible AI. Drawing from this analysis, we propose an approach for developing a future framework centered around this concept. Our findings advocate for a human-centric approach to Responsible AI. This approach encompasses the implementation of AI methods with a strong emphasis on ethics, model explainability, and the pillars of privacy, security, and trust.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 6 citations worldwide. Full citation record

  1. Leveraging Trustworthy AI for Automotive Security in Multi-Domain Operations: Towards a Responsive Human-AI Multi-Domain Task Force for Cyber Social Security

    cs.CR 2025-07 conditional novelty 4.0 of 10

    Larger Random Forest and Gradient Boosting ensembles increase the time needed for a ZOO black-box attack on a CAN bus IDS, while XGBoost shows no clear relationship.

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