AI algorithms can solve hard problems and learn incredible tasks, but they can’t explain how they do these things. If researchers can build explainable AI, it could lead to a flood of new knowledge.
Forced labor is a widespread problem in fisheries on the high seas. Between 2012 and 2018, an estimated 100,000 people may have been victims of forced labor on thousands of different boats.
Using machine learning to study over 85 million YouTube comments, a research team has, for the first time, identified linguistic differences among cable news viewers.
In 2016, America’s adversaries seemed to cheer electoral chaos and a withering faith in democracy. Now they seem to be hoping democracy can topple a leader they’ve grown loathe to deal with.
Artificial intelligence insatiable data needs has encouraged the mass collection of personal data, placing privacy at risk. But AI can help solve the very problem it creates.
The scientific community is churning out vast quantities of research about the coronavirus pandemic – far too much for researchers to absorb. An AI system aims to do the heavy lifting for them.
Design bloggers have long had creeping suspicion of a more monolithic web, so a team of researchers decided to analyze the aesthetics of nearly 10,000 websites.
Driverless vehicles rely heavily on sensors to navigate the world. They’re vulnerable to attack if bad actors trick them into ‘seeing’ things that aren’t there, potentially leading to deadly crashes.