Connecting the Dots in Trustworthy Artificial Intelligence

By N. Díaz-Rodrígueza et al.

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Table of Contents

1. Introduction
2. Principles for ethical use and development of Artificial Intelligence
3. A philosophical approach to Artificial Intelligence ethics
4. Artificial Intelligence regulation: A risk-based approach

Summary

Trustworthy Artificial Intelligence (AI) is based on seventeen technical requirements sustained over three main pillars: lawful, ethical, and robust. Attaining trustworthy AI involves a wider vision encompassing the trustworthiness of all processes and actors in the system's life cycle. The paper provides a holistic view of trustworthy AI from ethical principles to regulation and technical requirements. It delves into the seven key requirements for trustworthy AI and the practical approach to implement responsible AI systems. The authors advocate for regulation as a key factor in achieving consensus on the future of AI. The document discusses principles, regulations, and ethical considerations in the development of AI, emphasizing the importance of human oversight, fairness, and accountability.