Source: https://www.linkedin.com/feed/update/urn%3Ali%3Ashare%3A6689178237072941056
#AI #Machine #Learning #Algorithms #Fragility: You have raised an important point about #ArtificialIntelligence, #MachineLearning #ML, and, #DeepLearning #DL #algorithms. That was a key theme of my discussion over #MIT Management & Leadership program on AI: https://lnkd.in/eknKzm5 . My second of 3 invited annual presentations at #Princeton: https://lnkd.in/dJ-Gnxx focused specifically on the fragility of DL Algorithms in case of #Autonomous #Cars. I also discussed the general case of #Systems #Fragility, particularly Systems founded upon #Mathematical #Computational foundations of #Computer #Science. I focused on the 3 specific cases of AI-ML-DL #Algorithms Fragility: as a matter of #Design #Features and #Bugs including #ZeroDays ], as exploited by #Adversaries, and, as a matter of Design #Exploits by Adversaries. The USAF-AFRL CA venture AIMLExchange.com goes deeper into a #RiskEngineering practices focus on optimal design of AI-ML-DL systems. The #USAF #AFRL CA venture C4I-Cyber.com goes deeper into #Adversarial focus on countering such attacks with specific focus on #C4I #Command & #Control.
United States Air Force Air Force Research Laboratory Griffiss Institute Ventures
Global Risk Management Network LLC: Rome, N.Y., USA: FinRM™: AIMLExchange™, C4I-Cyber™
