40 citations · 144 across the 27 of their papers we have counts for
Showing 2023 · cs.AIShow all
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cs.AI2023
Building Trustworthy NeuroSymbolic AI Systems: Consistency, Reliability, Explainability, and Safety
Manas Gaur, Amit Sheth
Explainability and Safety engender Trust. These require a model to exhibit consistency and reliability. To achieve these, it is necessary to use and analyze data and knowledge with…
cs.AI2023★ 26 cited
Neurosymbolic AI -- Why, What, and How
Amit Sheth, Kaushik Roy, Manas Gaur
Humans interact with the environment using a combination of perception - transforming sensory inputs from their environment into symbols, and cognition - mapping symbols to knowled…
cs.AI2023★ 4 cited
Towards Explainable and Safe Conversational Agents for Mental Health: A Survey
Surjodeep Sarkar, Manas Gaur, L. Chen +3
Virtual Mental Health Assistants (VMHAs) are seeing continual advancements to support the overburdened global healthcare system that gets 60 million primary care visits, and 6 mill…