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Dramatic success in machine learning has led to a torrent of Artificial Intelligence (AI) applications. Continued advances promise to produce autonomous systems that will perceive, learn, decide, and act on their own. However, the effectiveness of these systems is limited by the machine’s current inability to explain their decisions and actions to human users (Figure 1). The Department of Defense (DoD) is facing challenges that demand more intelligent, autonomous, and symbiotic systems. Explainable AI—especially explainable machine learning—will be essential if future warfighters are to understand, appropriately trust, and effectively manage an emerging generation of artificially intelligent machine partners.
This AIE Opportunity for the Intelligent Neural Interfaces (INI) program is
soliciting proposals to establish the proof of concept prototype for
third-wave artificial intelligence methods that could improve and expand the
application space of next-generation neurotechnology. Teams will address two
major challenges specific to central and/or peripheral neural interfaces.
These challenges include: (1) decision making for sustainment and
maintenance of neural interfaces to promote robustness and reliability, and
(2) modeling and maximizing the information content of biological neural
circuits to increase the bandwidth and computational abilities of the neural