An explainer on what is machine learning in business, its history and the big themes and key trends, with a focus on its future within the AI family.
The rise of artificial intelligence brings big picture problems, but also important practical and ethical issues.
By teaching machines to understand our true desires, one scientist hopes to avoid the potentially disastrous consequences of having them do what we command.
John Villasenor discusses the sources of bias in artificial intelligence, how to identify instances of bias, and what can be done to mitigate it.
Image via shutterstockImagine a world without environmental regulations or traffic laws, where unlicensed motorists drive as they please and factories pollute