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1 Introduction
Pages 5-10

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From page 5...
... , is to achieve operational and informational advantages by "connecting distributed sensors, shooters, and data from all domains to joint forces, enabling coordinated exercise of authority to integrate planning and synchronize convergence in time, space, and purpose" (USAF, 2020, p.
From page 6...
... in the context of warfighter-centered designs and systems. With attention to multi-domain command and control operations, the committee will: • Identify key human-systems integration design considerations, methods, approaches, and associ ated research aimed at warfighter systems that incorporate human-AI teaming; • Identify gaps in knowledge on effective human-machine teaming necessary to achieve future Air Force mission capability; and • Identify promising human-systems integration and human factors research opportunities that would accelerate mission capability development.
From page 7...
... , often in the form of decision-support systems; or AI software may apply other advanced algorithms, such as Bayesian belief-nets, fuzzy systems, and connectionist or machine learning (ML) -based approaches (e.g., logistic regression, neural networks, deep learning, or decision trees)
From page 8...
... . In the committee's judgment, although AI software is capable of rapidly processing large volumes of data for known types of events or situations, the limitations of this software means that, for the foreseeable future, AI will remain inadequate for recognizing and operating in most novel situations.
From page 9...
... However, the many challenges for human interactions with automated systems will continue, even with more capable automation based on AI. Therefore, in the committee's judgment, the design and development of effective human-AI teams that can take advantage of the unique capabilities of both people and AI while overcoming the known challenges and limitations of both is an important future research focus.
From page 10...
... Chapter 3 discusses the requirements and processes for effective human-AI teamwork. Chapter 4 focuses on supporting human SA and shared SA in human-AI teams, followed by Chapter 5, which discusses requirements for AI display transparency and explainability.


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