Explainability and the Fourth AI Revolution

TL;DR

This paper explores how explainability in AI can facilitate the transition to a new era where humans collaborate more closely with AI systems, shifting from data annotators to partners.

Contribution

It highlights the importance of explainability in evolving AI from automated data processing to collaborative human-AI interaction.

Findings

Explainability is crucial for the next AI revolution.

Shift from data annotation to human-AI collaboration.

Emphasizes the role of explainability in future AI development.

Abstract

This chapter discusses AI from the prism of an automated process for the organization of data, and exemplifies the role that explainability has to play in moving from the current generation of AI systems to the next one, where the role of humans is lifted from that of data annotators working for the AI systems to that of collaborators working with the AI systems.