-
Members: FreeIES
IEEE Members: Free
Non-members: FreeLength: 01:07:27
23 Jul 2021
Trustworthy AI and explainable AI (XAI) have become burning issues in recent years. The proliferation of AI governed systems like autonomous vehicles or IoT devices is bringing a plethora of controversial questions of trustworthy AI including but not limited to secure, privacy preserving, explainable, reliable AI. In addition, AI or algorithmic bias have been reported in various instances of commercial tools. This talk will illustrate some of the contemporary problems of AI deployment, and present approaches on how to fight bad bias with good bias, how to deal with uncertainty in AI, and how to ultimately help AI make right decisions for right reasons.
About Dr. Milos Manic
Dr. Manic is a Professor with the Computer Science Department and Director of VCU Cybersecurity Center at Virginia Commonwealth University. He completed over 40 research grants in data mining and machine learning applied to cyber security, critical infrastructure protection, energy security, and resilient intelligent control. Dr. Manic has given over 40 invited talks around the world, authored over 200 refereed articles in international journals, books, and conferences, holds several U.S. patents and has won 2018 R&D 100 Award for _Autonomic Intelligent Cyber Sensor (AICS_), one of top 100 science and technology worldwide innovations in 2018. He is an inductee of the US National Academy of Inventors (class of 2019) and a Fellow of Commonwealth Cyber Initiative (specialty in AI & Cybersecurity).
He is an IEEE Fellow, recipient of IEEE IES 2019 Anthony J.Hornfeck Service Award, 2012 J. David Irwin Early Career Award, 2017 IEM Best Paper Award and serves as an associate editor of Transactions on Industrial Informatics, Open Journal of Industrial Electronics Society, and is IES Officer and Senior AdCom member. He served as associate editor of Trans. on Industrial Electronics, was a founding chair of IEEE IES Technical Committee on Resilience and Security in Industry, and general chair of IEEE IECON 2018, IEEE HSI 2019.
About Dr. Milos Manic
Dr. Manic is a Professor with the Computer Science Department and Director of VCU Cybersecurity Center at Virginia Commonwealth University. He completed over 40 research grants in data mining and machine learning applied to cyber security, critical infrastructure protection, energy security, and resilient intelligent control. Dr. Manic has given over 40 invited talks around the world, authored over 200 refereed articles in international journals, books, and conferences, holds several U.S. patents and has won 2018 R&D 100 Award for _Autonomic Intelligent Cyber Sensor (AICS_), one of top 100 science and technology worldwide innovations in 2018. He is an inductee of the US National Academy of Inventors (class of 2019) and a Fellow of Commonwealth Cyber Initiative (specialty in AI & Cybersecurity).
He is an IEEE Fellow, recipient of IEEE IES 2019 Anthony J.Hornfeck Service Award, 2012 J. David Irwin Early Career Award, 2017 IEM Best Paper Award and serves as an associate editor of Transactions on Industrial Informatics, Open Journal of Industrial Electronics Society, and is IES Officer and Senior AdCom member. He served as associate editor of Trans. on Industrial Electronics, was a founding chair of IEEE IES Technical Committee on Resilience and Security in Industry, and general chair of IEEE IECON 2018, IEEE HSI 2019.
