… This article discusses the pitfalls and opportunities of AI in … Second, we discuss the
technological pitfalls and dangers … So is the case of biased and explainable artificial intelligence…

Worldwide interest in artificial intelligence (AI) applications, including imaging, is high and
growing rapidly, fueled by availability of large datasets (“big data”), substantial advances in …

… This is the century of artificial intelligence (AI), when computational intelligence (CI)
algorithms show great promise to tremendously improve the quality of our lives. Unfortunately, of …

… machine learning practitioners in the field of diabetes, including best practice recommended
approaches and warnings about pitfalls to … features used in machine learning applications in …

Machine learning (ML) and artificial intelligence (AI) tools … The various challenges, problems
and pitfalls of these systems … scientific and ethical challenges, pitfalls, and problems of AI. In …

… Technological advances in artificial intelligence (AI) represent an enticing opportunity to
benefit gastroenterological practice. Moreover, AI, through machine or deep learning, permits …

We provide a somewhat whimsical and copiously illustrated overview of what we have
learned from laboring to curb the enthusiasm of artificial intelligence (AI) algorithm developers …

… The results of our study provide valuable insights into the role of machine learning (ML) in
requirements engineering (RE) and highlight both opportunities and challenges associated …

… Challenges and pitfalls of using AI in government Paralleling the excitement of the
opportunities for using AI in industry and government, a raft of ethical, social, political and legal/…

… Machine learning (ML) is the basis of most of the major advancements in artificial intelligence
and constitutes the vast majority of AI we interact with today. So much so, that the terms ML …