Results 141 to 150 of about 1,351,787 (292)
From local explanations to global understanding with explainable AI for trees
Scott M. Lundberg+9 more
semanticscholar +1 more source
Introduzione alla teoria invariantiva delle equazioni di tipo generale ai differenziali totali di second'ordine [PDF]
Ernesto Pascal
openalex +1 more source
Towards Enterprise-Ready AI Deployments Minimizing the Risk of Consuming AI Models in Business Applications [PDF]
The stochastic nature of artificial intelligence (AI) models introduces risk to business applications that use AI models without careful consideration. This paper offers an approach to use AI techniques to gain insights on the usage of the AI models and control how they are deployed to a production application. Keywords: artificial intelligence (AI),
arxiv
The Rise of Thinking Machines: A Review of Artificial Intelligence in Contemporary Communication [PDF]
Artificial intelligence (AI) capabilities in natural language processing are rapidly advancing and transforming communication practices across diverse contexts.
Mohammad Javad Gholami, Taqi Al Abdwani
doaj +1 more source
Overconfident and Unconfident AI Hinder Human-AI Collaboration [PDF]
AI transparency is a central pillar of responsible AI deployment and effective human-AI collaboration. A critical approach is communicating uncertainty, such as displaying AI's confidence level, or its correctness likelihood (CL), to users. However, these confidence levels are often uncalibrated, either overestimating or underestimating actual CL ...
arxiv
SulĽestensione della Legge di Newton ai Sistemi Stellari Binarii [PDF]
Francesco Porro
openalex +1 more source
Sulla tendenza dei sistemi materiali a sfuggire ai vincoli con attrito [PDF]
E. Daniele
openalex +1 more source
Navigating Fairness: Practitioners' Understanding, Challenges, and Strategies in AI/ML Development [PDF]
The rise in the use of AI/ML applications across industries has sparked more discussions about the fairness of AI/ML in recent times. While prior research on the fairness of AI/ML exists, there is a lack of empirical studies focused on understanding the perspectives and experiences of AI practitioners in developing a fair AI/ML system. Understanding AI
arxiv