Results 221 to 230 of about 73,912 (246)
Some of the next articles are maybe not open access.
Principles of Explainable Artificial Intelligence
2021The last decade has witnessed the rise of a black box society where obscure classification models are adopted by Artificial Intelligence systems (AI). The lack of explanations of how AI systems make decisions is a key ethical issue to their adoption in socially sensitive and safety-critical contexts.
Guidotti, R. +3 more
openaire +2 more sources
Towards explainable artificial intelligence
2022In dieser Arbeit entwickeln wir ein Framework für die Interpretation der Entscheidungen hochgradig nichtlinearer Klassifizierungsfunktionen mit Schwerpunkt auf neuronalen Netzen. Insbesondere formalisieren wir die Idee der Trennung der Eingabeparameter in relevante und irrelevante Parameter als explizites Optimierungsproblem.
openaire +3 more sources
Predicting cancer outcomes with radiomics and artificial intelligence in radiology
Nature Reviews Clinical Oncology, 2021Kaustav Bera +2 more
exaly
Explainable Artificial Intelligence (XAI)
Explainable AI (XAI) is important in situations where decisions have significant effects on the results to make the AI systems more reliable, transparent, and make people understand how AI systems work. In this chapter, an overview of AI, its evolution are discussed, emphasizing the need for robust policy and regulatory frameworks for responsible AI ...+4 more sources
Artificial channels for confined mass transport at the sub-nanometre scale
Nature Reviews Materials, 2021Jie Shen, Gong-Ping Liu, Yu Han
exaly
Artificial intelligence in cancer imaging: Clinical challenges and applications
Ca-A Cancer Journal for Clinicians, 2019Wenya Linda Bi +2 more
exaly
Artificial intelligence in radiation oncology
Nature Reviews Clinical Oncology, 2020Ahmed Hosny +2 more
exaly
Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology
Nature Reviews Clinical Oncology, 2019Kaustav Bera +2 more
exaly