This panel will discuss ethical considerations and recommended best practices in the design of artificial intelligence driven adaptive instructional systems (AISs), including: Mistakes Made By A.I., and Regulation of A.I.

Panel members will discuss areas of concern in AI and ethics, as well as present the efforts of the IEEE working group P2247.4 on developing recommended practices that can be used to provide guidance in ethical design to engineers and consumers of training and learning systems. 

AISs have been established as effective training and education systems and have been deployed in military, commercial, and open-source versions. Senior defense officials have emphasized the need to adhere to laws and values while mitigating risks associated with AI driven systems, but there is little codified guidance on how to address and remedy these concerns. This panel will bring an informed discussion on ethical considerations and risks for AI driven learning and training systems.

This panel will be of interest to acquisition decision makers who are concerned with AI driven products that do not violate the DoD’s recently adopted (2/2020) ethical principles for AI. In addition, commercial vendors--who understand the business value to the DoD stakeholder--will be interested in understanding that ethically designed AISs will limit exposure to workplace litigation, enhance diversity strategies, and help align AI to the resilience and culture goals that support the DoD mission.

Attendees will walk away with insights and information on how to ensure AI driven technologies address ethical concerns devised from theoretical frameworks.