# Explainability and the Fourth AI Revolution

**Authors:** Loizos Michael  
**arXiv:** [2111.06773](https://arxiv.org/abs/2111.06773)  
**Date:** 2021-11-12  
**Summary page:** https://www.summarizepaper.com/en/paper/2111.06773v1/

## Key points

- The article discusses the current state of AI and its potential for future advancements.
- Explainability is crucial for building trust in AI systems and ensuring their ethical use.
- Explainable AI will enable humans to better understand how these systems work, making it easier to identify errors or biases in their decision-making processes.
- Transparency is essential for developing more collaborative approaches to AI development as we move towards a new era of intelligent technology.
- Creating an environment where humans can trust and work together with AI systems is important as we enter into a new age of technological advancement.

## Summary

In "Explainability and the Fourth AI Revolution," Loizos Michael discusses the current state of artificial intelligence (AI) and its potential for future advancements. The chapter focuses on the role of explainability in moving from the current generation of AI systems to the next one, where humans will collaborate with AI systems instead of simply annotating data for them. The author argues that explainability is crucial for building trust in AI systems and ensuring their ethical use. Explainable AI will enable humans to better understand how these systems work, making it easier to identify errors or biases in their decision-making processes. Furthermore, Michael emphasizes that this transparency is essential for developing more collaborative approaches to AI development as we move towards a new era of intelligent technology. Ultimately, this chapter highlights the importance of creating an environment where humans can trust and work together with AI systems as we enter into a new age of technological advancement.