Privacy, Accountability, Explainability, and Trust – Responsible AI

As the deployment of artificial intelligence (AI) technologies becomes increasingly pervasive across various sectors, addressing the associated privacy, accountability, explainability, and trust issues is paramount, particularly in the realm of cybersecurity. These aspects are collectively referred to as the pillars of Responsible AI, a framework that advocates for the ethical development, deployment, and management of AI systems.

This chapter aims to provide a comprehensive overview of the challenges, significance, and ways to tackle the issues surrounding AI security and safety, offering insights into both theoretical perspectives and practical guidelines. We will elucidate why it is crucial to maintain a strict governance framework around AI, and how neglecting these responsibilities can lead not only to increased risks but also to a wide range of unintended, potentially grave, consequences.

The importance...