Towards Neuro-Symbolic AI for Assured and Trustworthy Human-Autonomy Teaming
Author:
Affiliation:
1. Howard University,DoD Center of Excellence in AI & Machine Learning (CoE-AIML),Dept. of Electrical Engineering & Computer Science (EECS),Washington,DC,USA,20059
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10431557/10431558/10431626.pdf?arnumber=10431626
Reference23 articles.
1. Recent Advances in Artificial Intelligence and Tactical Autonomy: Current Status, Challenges, and Perspectives
2. Secure and trustworthy machine learning/artificial intelligence for multi-domain operations
3. Recent advances in adversarial machine learning: status, challenges and perspectives
4. Towards Evaluating the Robustness of Neural Networks
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1. Surveying neuro-symbolic approaches for reliable artificial intelligence of things;Journal of Reliable Intelligent Environments;2024-07-26
2. Towards neuro-symbolic reinforcement learning for trustworthy human-autonomy teaming;Assurance and Security for AI-enabled Systems;2024-06-07
3. Exploring the landscape of trustworthy artificial intelligence: Status and challenges;Intelligent Decision Technologies;2024-06-07
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