Amidst the rapid technological advancements and the ever-increasing pervasiveness of software in our lives, the ethical implications of software development have emerged as a critical area of concern.
AI and ML algorithms rely heavily on vast data for training and development. However, the availability of high-quality, diverse, and secure data can be a significant challenge. In fact, upon not being ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Artificial intelligence (AI) is a concept that gets batted around freely ...
According to the IDC, enterprise spending on generative artificial intelligence (GenAI) could reach $143 billion in 2027, up from $16 billion in 2023. The world's largest companies are expected to ...
The coevolution between humans and AI transcends traditional boundaries, demanding that we rethink not only how machines ...
In October, Amazon had to discontinue an artificial intelligence–powered recruiting tool after it discovered the system was biased against female applicants. In 2016, a ProPublica investigation ...
The authors report that the overwhelming majority of respondents identified data quality, rather than model sophistication, ...
For AI to flourish in healthcare, the industry must focus on the “algorithmically underserved,” said John D. Halamka, M.D., M.S., president of Mayo Clinic Platform, at the HLTH 2022 conference this ...
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