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AI has well-known problems in that it can be fooled, cannot transfer knowledge gained in one task to another, and is entirely reliant on data for its performance. Although AI will significantly change decision-making in air warfare, not all air forces will use the same technology in the same way – even in the narrow area of decision-making.

Dr. Peter Layton, Visiting Fellow, Griffith Asia Institute, Australia

Reaching Joint All Domain Command and Control (JADC2) goals will depend on identifying core command and control (C2) needs and establishing software development plans that are achievable. Investments in people and resources will be needed to move beyond today’s manpower intensive C2 and, as a realistic goal, improve current planning processes with automation and some AI and ML.

Sherrill Lingel, Senior Engineer, RAND Corporation, United States

Advances in artificial intelligence (AI) for processing large amounts of data and making decisions have enhanced existing capabilities and made new ones possible. However, the future direction and character of AI in air power will depend on the strategic, organizational, and operational agility of air forces to define and shape the role of AI within their operational constructs.

Dr. Michael Raska, Assistant Professor, S. Rajaratnam School of International Studies, Nanyang Technological University, Singapore