# Experiential AI

**Authors:** Drew Hemment, Ruth Aylett, Vaishak Belle, Dave Murray-Rust, Ewa Luger, Jane Hillston, Michael Rovatsos, Frank Broz  
**arXiv:** [1908.02619](https://arxiv.org/abs/1908.02619)  
**Date:** 2019-08-06  
**Summary page:** https://www.summarizepaper.com/en/arxiv-id/1908.02619v1/

## Key points

- Experiential AI is a new research agenda proposed by artists and scientists
- The goal is to make algorithms more transparent and foster collaboration between humans and machines in the field of artificial intelligence
- Art can serve as a mediator between computer code and human comprehension, enabling us to overcome the limitations of explanations for AI systems
- Artists can offer novel ways to make the reasoning of AI systems transparent and decipherable by making their boundaries visible
- Artistic practice can explore new configurations of humans and algorithms, helping us understand complex causal chains in environments with AI components
- Experiential AI has potential for interdisciplinary collaboration between artists and scientists while providing valuable insights into designing ethical AI systems that are better aligned with human values
- Experiential AI could play an important role in shaping the future development of artificial intelligence technologies.

## Summary

Experiential AI is a new research agenda proposed by a group of artists and scientists who aim to make algorithms more transparent and foster greater collaboration between humans and machines in the field of artificial intelligence. Art can serve as a mediator between computer code and human comprehension, enabling us to overcome the limitations of explanations for AI systems. By making the boundaries of these systems visible, artists can offer novel ways to make their reasoning transparent and decipherable. Moreover, artistic practice can explore new configurations of humans and algorithms, mapping out the terrain of inter-agencies between people and machines. This helps us viscerally understand complex causal chains in environments with AI components. The authors argue that experiential AI has potential for opening up new avenues for interdisciplinary collaboration between artists and scientists while providing valuable insights into how we might design ethical AI systems that are better aligned with human values. Ultimately, they believe that experiential AI could play an important role in shaping the future development of artificial intelligence technologies.