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pro vyhledávání: '"Mezzi, Emanuele"'
AI-based systems leverage recent advances in the field of AI/ML by combining traditional software systems with AI components. Applications are increasingly being developed in this way. Software engineers can usually rely on a plethora of supporting i
Externí odkaz:
http://arxiv.org/abs/2407.18584
Autor:
Huang, Qi, Mezzi, Emanuele, Mutlu, Osman, Kofinas, Miltiadis, Prasad, Vidya, Khan, Shadnan Azwad, Ranguelova, Elena, van Stein, Niki
We introduce a novel metric for measuring semantic continuity in Explainable AI methods and machine learning models. We posit that for models to be truly interpretable and trustworthy, similar inputs should yield similar explanations, reflecting a co
Externí odkaz:
http://arxiv.org/abs/2407.12950
The use of AI technologies is percolating into the secure development of software-based systems, with an increasing trend of composing AI-based subsystems (with uncertain levels of performance) into automated pipelines. This presents a fundamental re
Externí odkaz:
http://arxiv.org/abs/2407.14540