As AI becomes more and more prevalent in our lives, the decisions it makes for us are becoming more and more impactful on our lives and those of others. How can we help people to have trust in the models we're building? The field of Explainable AI focuses on making any machine learning model interpretable by non experts.

1. Building Trust Through
Explainable AI
@peetdenny

3. Explainable AI in FS -> Professions in general
The LIME Algorithm
Why is building trust important in any serious AI application

5. Medical
Legal
Architecture
Financial
Criminal
Consulting
Clerical

6. https://medium.com/ansaro-blog/interpreting-machine-learning-models-1234d735d6c9

9. LIME
"Why Should I Trust You?”: Explaining the Predictions of Any Classifier

15. Trust
End Consumer Para-professional Regulator Ethics Body

16. • Still a new area of research
• Slow

18. • “If I read a paper that just focuses on the great
accuracy that their model achieved, I wouldn’t just
go ahead and deploy that into a hospital”
• Sameer Singh (co-author of Lime)
Data Scientist

19. Utopia or Dystopia

20. Further Reading
• Why should I trust you (original LIME paper), Ribeiro,
Singh, Guestrin https://goo.gl/jAn8Qp
• Darpa XAI presentation https://goo.gl/zcrXsf
• https://www.data-imaginist.com/2017/announcing-lime/