The Hidden Risk of Blind Trust in AI’s ‘Black Box’
For the field of AI to reach any measurable sense of maturity, we’ll need methods to debug, error-check, and understand the decision-making process of machines. The lack of trust was at the heart of many failures of one of the best-known AI efforts. Artificial intelligence (AI) is a transformational $15 trillion opportunity, but without explainability, it will not reach any measurable sense of deployment. Explainability is an essential element of the future where we will have artificially intelligent machine partners. In this session, I will go over why the AI needs to be explainable, what does that mean, the state of the art of explainable AI as well as various approaches to build it.