Interaction-Centered Design: Frontier of Trustworthy Human-Autonomy Teaming

#Human-machine #interactions #Mission/safety #critical #systems #Intelligent #Human-AI #teaming #Machine #learning
Share

The Montreal Chapter of the IEEE Signal Processing Society, in collaboration with STARaCom, cordially invites you to attend the following talk to be given (in presence) at McGill University by Dr. Ming Hou, from Defense Research and Development Canada (Ottawa).



  Date and Time

  Location

  Hosts

  Registration



  • Date: 24 Jan 2024
  • Time: 04:30 PM to 05:30 PM
  • All times are (UTC-05:00) Eastern Time (US & Canada)
  • Add_To_Calendar_icon Add Event to Calendar
  • 3480 University
  • Montreal, Quebec
  • Canada H3A 0E9
  • Building: McConnell Engineering
  • Room Number: 603
  • Click here for Map

  • Contact Event Host
  • Prof. Benoit Champagne, ECE Department, McGill University, Montreal
    Co-sponsored by STARaCom

  • Starts 17 January 2024 06:00 PM
  • Ends 24 January 2024 05:26 PM
  • All times are (UTC-05:00) Eastern Time (US & Canada)
  • No Admission Charge


  Speakers

Dr. Ming Hou Dr. Ming Hou

Topic:

Interaction-Centered Design: Frontier of Trustworthy Human-Autonomy Teaming

Abstract: The effective human-machine teaming is challenged by the lack of understanding of human-machine interaction issues and appropriate design methodologies for mission/safety-critical systems. Limitations and strengths of human and artificial intelligence (AI) must be well understood first before designing, developing, and employing AI-enabled human-machine systems. It is not only about the safety of these systems, but more importantly human lives and mission success. A systematic and structured framework for design, develop, verify, validate, and regulate disruptive technologies is critical to the entire life cycle of these emerging systems. The discussion reviews the evolution of design strategy of intelligent systems, presents the state-of-the-art design methodologies to address the interaction challenges for developing and deploying responsible AI technologies and thus effective human-AI teaming. A technological solution of trustworthy, collaborative, and effective human-AI teaming for decision-making in weapon engagement following international laws and rules of engagement provides a best practice example for all stakeholders who are interested in building and using 21st century human-AI symbiosis technologies.

Biography:

Dr. Ming Hou is a Senior Defence Scientist and the Principal Authority Human-Technology Interactions within the Department of National Defence (DND) Canada, an Integrator of the Canadian $1.6B Innovation for Defence Excellence and Security (IDEaS) program, and the Co-Chair of NATO Human Factors Specialist Committee. Dr. Hou is responsible for delivering technological solutions, science-based advice, and evidence-based policy recommendations on AI and Autonomy science, technology, and innovation strategies to senior decision makers within DND and the Canadian Armed Forces (CAF) as well as their national and international partner organizations. He was a Scientific Advisor to the Canadian National Centre of Expertise on Human Systems Performance (HSP) and the Canadian National Leader of HSP-Air Joint Panel under The Technical Cooperation Program (TTCP) and directed the Canadian efforts in the $200M TTCP Autonomy Strategic Challenge International Joint Exercise “Autonomous Warriors 2018”. As the Principal Scientist, Dr. Hou led a number of CAF/DND capability development projects including the 1st Canadian Intelligent Tutoring System for Counter Improvised Explosive Device Disposable Operator Training, the 1st Command and Control Centre for the $6B Remotely Piloted Aircraft System (RPAS) major capital acquisition project, and the 1st Human-AI Symbiosis Technology for Weapon Engagement. His influential book: “Intelligent Adaptive Systems: An Interaction-Centered Design Perspective" (two editions) has guided the development of NATO Standards for RPAS Human Systems Integration Guidance, Sense and Avoid Guidance, Human Factors Experimentation Guidance, as well as the United Nations White Paper on “Human-Machine Interfaces in Autonomous Weapon Systems: Consideration for Human Control”. Dr. Hou is the recipient of the most prestigious DND Science and Technology Excellence Award in 2020 and the President’s Achievement Award of the Professional Institute of the Public Service of Canada in 2021. He is an Adjunct Professor at the University of Toronto and University of Calgary. Dr. Hou is an IEEE Fellow and the General Chair of the 4th IEEE International Conference on Human-Machine Systems (ICHMS2024) and the International Defence Excellence and Security Symposia (IDEaS).

Address:Defense Research and Development Canada, Department of National Defence, Toronto, Canada