We have just added a new article to the AI-PROGNOSIS Learning Hub. The paper "A.I. Robustness: A Human-Centered Perspective on Technological Challenges and Opportunities" by Andrea Tocchetti and colleagues, explores key challenges in ensuring the reliability and safety of artificial intelligence systems. While AI demonstrates remarkable capabilities, robustness—how well these systems perform in unpredictable situations—remains a major challenge.

The authors review existing literature and propose a structured framework to categorise different approaches to robustness. They highlight three key areas: improving robustness within the machine learning process, applications of robust AI systems, and techniques for assessing reliability.

A notable insight is a need for a human-centred approach to AI development, which aligns with the AI-PROGNOSIS ecosystem. The authors argue that human insights and collaboration are essential for enhancing AI robustness, as current frameworks often lack specific guidance on integrating human knowledge effectively.

🔗 Read the full article here: https://arxiv.org/abs/2210.08906