CQ Roll Call’s Gopal Ratnam explained the concept of artificial intelligence and the differences between machine learning and deep learning. He also discussed current and future uses of art…
China reportedly plans to spend $150 billion to win the AI race by 2030. Robots might replace many retail jobs but AI's talents and expertise might replace some white-collar jobs. (Can you s…
US cities like Atlanta and Baltimore were not well prepared (or funded) to withstand a major system hack. Also, some of our own hacking tools, designed to thwart perceived enemies, appear to…
Here's a quick explanation of the motivation behind the Algorithmic Accountability Act, introduced in April this year. https://www.booker.senate.gov/?p=press_release&id=903
Not qualifying for bail shows the bad side of bad data. Data that contains strains of biased outcomes can perpetuate bad decisions, as Gopal Ratnam explains.
Here, in three minutes, is a concise and clear explanation of the uphill climb lawmakers must make to get themselves up-to-speed on AI.
