It happens with alarming frequency: A company unveils an AI product with a dazzling demo that impresses executives. An AI chatbot fields questions with uncanny precision. The AI-powered automation ...

The gender gap in generative AI isn’t just about who uses the tools—it’s also about who builds them. AI developers make crucial decisions—designing models, selecting training data, determining data ...

Last year, I wrote about the 10 ways generative AI would transform software development, including early use cases in code generation, code validation, and other improvements in the software ...

当大多数成功学在教导如何复制赢家路径时，鹿白River的《自我迭代与AI时代》提供的是如何不成为输家的保底算法——这对资源有限、又身处AI技术颠覆浪潮中的普通人而言，往往更为实用。它跳出了传统成功学的线性叙事，将自我迭代与AI时代的不确定性深度绑定， ...

Data and bias auditing – AI systems must be trained and tested on data that reflects South Africa’s racial, linguistic, and geographic diversity. Regular audits should be mandatory to ensure models do ...

Most industries are arriving at a hybrid approach, implementing AI workflows to improve efficiency and productivity while ...