IEEE Members: Free
Non-members: FreeDuration: 01:17:36
In this talk, I will commence with a quick scan throughout the history of Artificial Intelligence (AI) to demonstrate that many challenges for AI since its inception remain as significant research gaps awaiting brave steps from the community to tackle. I will define AI and Computational Intelligence (CI) to disambiguate them and ensure transparency when delving deeper in the AI challenges. I will also offer concise mathematical definitions for interpretability, explainability, transparency, predictability, and symbiomemesis as core concepts underneath these challenges. The presentation will then polarise on one challenge: Trusted Human-AI Teaming. I will show how CI methods are well positioned to contribute to this challenge.