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Seminar Details: Introduction to AI, machine learning, and deep learning, in support of human-AI teaming

Introduction to AI, machine learning, and deep learning, in support of human-AI teaming

This online seminar offers an introduction to AI and insights from cognitive science research addressing human-AI teaming and decisionmaking.

This seminar introduces AI and its intertwined relationship with cognitive psychology and neurosciences. Participants can gain a deeper understanding of how ideas from one of the contriburting fields (e.g, neuroscience) might be incorporated into another (e.g., artificial intelligence), and yet other ideas from cognitive psychology might be applied to both of the other areas. All three, AI, cognitive psychology, and neuroscience collectively build the platform for cognitive science. Participants will also have an opportunity to explore how research insights from cognitive science can help inform the use of human-AI teaming by engaging with a wargaming scenario employing the use of AI. There is also the opportunity to interact with an AI neural net to assess levels of trust associated human-AI teaming. Taken altogether the participant can become better informed to anticipate and address challenges ahead with the use of human-AI teaming in realms of military application.                                                                                                                                                                                                                                                                                               

Introduction to AI

Orientation to artificial intelligence.

Strong AI and first-mover advantage

This topic briefly examines the concept of strong AI and implications for first-mover advantage in military conflict.

Neural net for assessing trust levels with human-AI teaming and decisionmaking

Opportunity is offered to interact with a neural net to assess trust levels with human-AI teaming and decisionmaking. Data from an AI-trust assessment survey and a wargame are used by a neural net to determine predicted levels of trust potentially held by a person with regard to human-AI teaming and decisionmaking.

Andrew Stricker

Dr. Andrew Stricker is an education innovation analyst with Air University’s LeMay Center for Doctrine Development and Education. In this position he conducts research in future concepts and advances in cognitive sciences and artificial intelligence for innovative applications in professional military education. His research addresses augmented cognition and developmental growth in reflective mindsets and contemplative practices. Andrew also engages in collaborative design of assistive immersive 3D virtual and augmented reality simulations for helping to improve complex problem-solving among teams. Prior to coming to Air University Andrew was Associate Provost for Innovation Through Technology at Vanderbilt University. He also held a faculty appointment as associate professor with the Vanderbilt University Medical School and taught courses in biomedical informatics. As an associate provost for the university, he was responsible for working with academic, technology and administrative leaders to prioritize, plan, and enable innovations for improving learning, teaching and research. Andrew also spent four years at Texas A&M University, College Station, Texas, creating and then serving as Director of the Cognition and Instructional Technologies Laboratory, and Director of the Knowledge Engineering Complex with the Texas Engineering Extension Service. He retired from the United States Air Force with 28 years of professional experience as an Air Force officer and scientist specializing in systems integration, human-factors engineering and cognitive sciences. His graduate work was conducted at Texas A&M University, College Station, Texas and Yale University, New Haven, Connecticut. He is a member of the American Psychological Association. In 2020 he was elected to the Board of Directors of the International Board of Standards in Performance, Training and Instruction (IBSTPI).
Starts 08/Jun/2020
Length 2 weeks
Effort 2 hours per week
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