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Marvin Minsky et al. raised the issue that AI can function as a form of surveillance, with the biases inherent in surveillance, suggesting HI (Humanistic Intelligence) as a way to create a more fair and balanced "human-in-the-loop" AI. [61] Explainable AI has been recently a new topic researched amongst the context of modern deep learning.
Jerry M. Mendel is an engineer, academic, and author.He is professor emeritus of Electrical and Computer Engineering at the University of Southern California. [1]Mendel has authored and co-authored 600 technical papers and 13 books including Uncertain Rule-based Fuzzy Logic Systems: Introduction and New Directions, Explainable Uncertain Rule-Based Fuzzy Systems, Perceptual Computing: Aiding ...
Liang Zhao is a computer scientist and academic. He is an associate professor in the Department of Computer Science at Emory University. [1]Zhao's research focuses on data mining, machine learning, and artificial intelligence, with particular interests in deep learning on graphs, societal event prediction, interpretable machine learning, multi-modal machine learning, generative AI, and ...
Yixin Chen is a computer scientist, academic, and author.He is a professor of computer science and engineering at Washington University in St. Louis. [1]Chen's research interests are focused on computer sciences, with a particular focus on the fields of machine learning, deep learning, and data mining. [2]
The publications of the Institute of Electrical and Electronics Engineers (IEEE) constitute around 30% of the world literature in the electrical and electronics engineering and computer science fields, [citation needed] publishing well over 100 peer-reviewed journals. [1]
Using machine learning to detect bias is called, "conducting an AI audit", where the "auditor" is an algorithm that goes through the AI model and the training data to identify biases. [161] Ensuring that an AI tool such as a classifier is free from bias is more difficult than just removing the sensitive information from its input signals ...
The field of Explainable AI seeks to provide better explanations from existing algorithms, and algorithms that are more easily explainable, but it is a young and active field. [ 18 ] [ 19 ] Others argue that the difficulties with explainability are due to its overly narrow focus on technical solutions rather than connecting the issue to the ...
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]