Blogs, Events, News, Lists
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The next SySTEAM general body meeting (GBM) will be held on Thursday, September 12, 2024, at 10AM Eastern.
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test post
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References must know what SE is, but they don't have to be systems engineers.
INCOSE Certification Cohort
INCOSE AI Systems Working Group Webinar
Next Session - May 4th
(Star Wars Day: May the 4th be with you)
10:00 AM US Eastern Time
FREE – Register Now
AI Explorer events feature two brief (TED-style) talks on key Artificial Intelligence topics. First up is a tour of the subject of explainable AI—a very hot topic in AI these days. After that, in honor of Star Wars Day, we’ll take a look at how AI appears in Star Wars, and Star Trek also, and see how AI is depicted in the science fiction future.
A System Engineer’s Guide to Explainable AI
Abstract: System Engineers (SEs) are faced with incorporating Artificial Intelligence and Machine Learning (AI/ML) based solutions into modern systems for meeting complex technological and societal needs. It is imperative for SEs to characterize the behavior of AI/ML based components that often appears as black boxes even to the component designers. This talk will introduce key concepts of Explainable AI (XAI) that creates a window into the black-box nature of AL/ML based component. We will debunk some common myths about explainability and discuss how SEs can utilize XAI for test and evaluation of systems with AI/ML-components.
Presenter: Dr. Ali Raz (CSEP) is an Assistant Professor of Systems Engineering and an Assistant Director of Intelligent Systems and Integration at George Mason University C4I and Cyber Center. Dr. Raz research interests are in integrating autonomous systems and brings together a system of systems perspective with artificial intelligence and information fusion. Dr. Raz is the current co-chair for INCOSE’s Artificial Intelligence Working Group and a co-chair of the Complex Systems Working Group. He holds a BSc and MSc in Electrical Engineering from Iowa State University and a doctorate in Aeronautics and Astronautics from Purdue University.
Everything I Know about Artificial Intelligence I Learned from the Movies
Abstract: Much of what most people “know” about artificial intelligence traces its source to science fiction mythology. Science fiction representations of robots, created minds, and intelligent machines spans a wide range of perspectives. Speculative books may describe possible futures of AI, but movies and TV series can show what a world would be like if these scenarios became reality. Star Wars and Star Trek, show nearly polar opposites in how AI turns out in a highly advanced human (and non-human) civilization.
Presenter: Dr. Barclay R. Brown, ESEP, is Associate Director for Research in AI at Collins Aerospace, a division of Raytheon Technologies. Before joining Collins, he was an Engineering Fellow in Raytheon Missiles and Defense, focusing on MBSE, and prior to that he was the Global Solution Executive for the Aerospace and Defense Industry at IBM. Dr. Brown holds a bachelor’s degree in Electrical Engineering, master’s degrees in Psychology and Business and a PhD in Industrial and Systems Engineering. He has taught systems engineering and systems thinking at several universities, and is a certified Expert Systems Engineering Professional (ESEP), certified Systems Engineering Quality Manager, and CIO of INCOSE for 2021-2023. He chairs the INCOSE AI Systems working group.
INCOSE AI Systems Working Group Webinar
Next Session - May 4th
(Star Wars Day: May the 4th be with you)
10:00 AM US Eastern Time
FREE – Register Now
AI Explorer events feature two brief (TED-style) talks on key Artificial Intelligence topics. First up is a tour of the subject of explainable AI—a very hot topic in AI these days. After that, in honor of Star Wars Day, we’ll take a look at how AI appears in Star Wars, and Star Trek also, and see how AI is depicted in the science fiction future.
A System Engineer’s Guide to Explainable AI
Abstract: System Engineers (SEs) are faced with incorporating Artificial Intelligence and Machine Learning (AI/ML) based solutions into modern systems for meeting complex technological and societal needs. It is imperative for SEs to characterize the behavior of AI/ML based components that often appears as black boxes even to the component designers. This talk will introduce key concepts of Explainable AI (XAI) that creates a window into the black-box nature of AL/ML based component. We will debunk some common myths about explainability and discuss how SEs can utilize XAI for test and evaluation of systems with AI/ML-components.
Presenter: Dr. Ali Raz (CSEP) is an Assistant Professor of Systems Engineering and an Assistant Director of Intelligent Systems and Integration at George Mason University C4I and Cyber Center. Dr. Raz research interests are in integrating autonomous systems and brings together a system of systems perspective with artificial intelligence and information fusion. Dr. Raz is the current co-chair for INCOSE’s Artificial Intelligence Working Group and a co-chair of the Complex Systems Working Group. He holds a BSc and MSc in Electrical Engineering from Iowa State University and a doctorate in Aeronautics and Astronautics from Purdue University.
Everything I Know about Artificial Intelligence I Learned from the Movies
Abstract: Much of what most people “know” about artificial intelligence traces its source to science fiction mythology. Science fiction representations of robots, created minds, and intelligent machines spans a wide range of perspectives. Speculative books may describe possible futures of AI, but movies and TV series can show what a world would be like if these scenarios became reality. Star Wars and Star Trek, show nearly polar opposites in how AI turns out in a highly advanced human (and non-human) civilization.
Presenter: Dr. Barclay R. Brown, ESEP, is Associate Director for Research in AI at Collins Aerospace, a division of Raytheon Technologies. Before joining Collins, he was an Engineering Fellow in Raytheon Missiles and Defense, focusing on MBSE, and prior to that he was the Global Solution Executive for the Aerospace and Defense Industry at IBM. Dr. Brown holds a bachelor’s degree in Electrical Engineering, master’s degrees in Psychology and Business and a PhD in Industrial and Systems Engineering. He has taught systems engineering and systems thinking at several universities, and is a certified Expert Systems Engineering Professional (ESEP), certified Systems Engineering Quality Manager, and CIO of INCOSE for 2021-2023. He chairs the INCOSE AI Systems working group.
INCOSE AI Systems Working Group Webinar
Next Session - May 4th
(Star Wars Day: May the 4th be with you)
10:00 AM US Eastern Time
FREE – Register Now
AI Explorer events feature two brief (TED-style) talks on key Artificial Intelligence topics. First up is a tour of the subject of explainable AI—a very hot topic in AI these days. After that, in honor of Star Wars Day, we’ll take a look at how AI appears in Star Wars, and Star Trek also, and see how AI is depicted in the science fiction future.
A System Engineer’s Guide to Explainable AI
Abstract: System Engineers (SEs) are faced with incorporating Artificial Intelligence and Machine Learning (AI/ML) based solutions into modern systems for meeting complex technological and societal needs. It is imperative for SEs to characterize the behavior of AI/ML based components that often appears as black boxes even to the component designers. This talk will introduce key concepts of Explainable AI (XAI) that creates a window into the black-box nature of AL/ML based component. We will debunk some common myths about explainability and discuss how SEs can utilize XAI for test and evaluation of systems with AI/ML-components.
Presenter: Dr. Ali Raz (CSEP) is an Assistant Professor of Systems Engineering and an Assistant Director of Intelligent Systems and Integration at George Mason University C4I and Cyber Center. Dr. Raz research interests are in integrating autonomous systems and brings together a system of systems perspective with artificial intelligence and information fusion. Dr. Raz is the current co-chair for INCOSE’s Artificial Intelligence Working Group and a co-chair of the Complex Systems Working Group. He holds a BSc and MSc in Electrical Engineering from Iowa State University and a doctorate in Aeronautics and Astronautics from Purdue University.
Everything I Know about Artificial Intelligence I Learned from the Movies
Abstract: Much of what most people “know” about artificial intelligence traces its source to science fiction mythology. Science fiction representations of robots, created minds, and intelligent machines spans a wide range of perspectives. Speculative books may describe possible futures of AI, but movies and TV series can show what a world would be like if these scenarios became reality. Star Wars and Star Trek, show nearly polar opposites in how AI turns out in a highly advanced human (and non-human) civilization.
Presenter: Dr. Barclay R. Brown, ESEP, is Associate Director for Research in AI at Collins Aerospace, a division of Raytheon Technologies. Before joining Collins, he was an Engineering Fellow in Raytheon Missiles and Defense, focusing on MBSE, and prior to that he was the Global Solution Executive for the Aerospace and Defense Industry at IBM. Dr. Brown holds a bachelor’s degree in Electrical Engineering, master’s degrees in Psychology and Business and a PhD in Industrial and Systems Engineering. He has taught systems engineering and systems thinking at several universities, and is a certified Expert Systems Engineering Professional (ESEP), certified Systems Engineering Quality Manager, and CIO of INCOSE for 2021-2023. He chairs the INCOSE AI Systems working group.
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Jun 11, 2024
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Jun 11, 2024
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Feb 04, 2024
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Feb 01, 2024
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Dec 19, 2023
INCOSE Recognizes Georgia Tech Master’s Programs for Academic Equivalency
New Academic Equivalency Agreement with George Washington University
Space Coast Chapter Officers & Board of Directors for 2024
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