Governments will need to enact stricter regulations as well, says one Microsoft AI expert.
Deeper collaboration with social sciences and underserved communities is required to make sure that AI tools don’t cause more problems than they solve.
Malicious synthetic videos are not yet mainstream, which gives tech companies a chance to prevent future misinformation. But it won’t fix our current flood of fake news.
AI’s big advances have so far relied on algorithms that train on huge piles of data. If robots are going to work in the real world, that will have to change.
AI security expert Dawn Song warns that “adversarial machine learning” could be used to reverse-engineer systems—including those used in defense.
Wise Systems’ routing software helped one company cut late deliveries by 85%.
Affectiva, a startup focused on detecting emotion, is testing its technology in vehicles.
The cost of developing medications is soaring. Machine learning could help—but only if good data is available.
Specialized AI chips are the future, and chipmakers are scrambling to figure out which designs will prevail.
One Defense Department advisor suggests that “constructive engagement” will be more successful than opting out.
The man behind Amazon’s voice assistant says AI programs need to see and explore the world if they’re ever going to attain real understanding.
Health workers are using smartphones and AI tools to spot low-birth-weight babies in India.
A team that includes philosophers, engineers, and policy experts will determine how ethical Google’s AI projects are—but some have already criticized its makeup.
Andrew Ng had some stirring words of advice for any businesses that might be toying with the idea of introducing artificial intelligence into how they work.