La RAND Corporation vient de publier un rapport intitulé "Understanding the limits of artificial intelligence for warfighters", second volet d'une série de 5 dédiée à l'IA dans le domaine militaire, et qui traite ici plus spécifiquement de la notion de "distributional shift", désignant "the divergence of current data from the data on which an AI system was trained".
L'ensemble de la série est composé des volumes suivants:
• Lance Menthe, Li Ang Zhang, Edward Geist, Joshua Steier, Aaron B. Frank, Eric Van Hegewald, Gary J. Briggs, Keller Scholl, Yusuf Ashpari, and Anthony Jacques, Understandingthe Limits of Artificial Intelligence for Warfighters: Vol. 1, Summary, RR-A1722-1, 2024
• Joshua Steier, Erik Van Hegewald, Anthony Jacques, Gavin S. Hartnett, and Lance Menthe, Understanding the Limits of Artificial Intelligence for Warfighters: Vol. 2, Distributional Shift inCybersecurity Datasets, RR-A1722-2, 2024
• Li Ang Zhang, Yusuf Ashpari, and Anthony Jacques, Understanding the Limits of ArtificialIntelligence for Warfighters: Vol. 3, Predictive Maintenance, RR-A1722-3, 2024
• Edward Geist, Aaron B. Frank, and Lance Menthe, Understanding the Limits of ArtificialIntelligence for Warfighters: Vol. 4, Wargames, RR-A1722-4, 2024
• Keller Scholl, Gary J. Briggs, Li Ang Zhang, and John L. Salmon, Understanding the Limits of Artificial Intelligence for Warfighters: Vol. 5, Mission Planning, RR-A1722-5, 2024. (à paraître)
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