Mark Edmonds, University of California, Los Angeles et Yixin Zhu, University of California, Los Angeles
Having robots and other AI systems tell people what the AIs are doing makes them more trustworthy. A study finds that how a robot explains itself matters.
The use of online health platforms is on the rise, allowing us to track and share our personal data. While such platforms have promise, significant scientific, ethical and privacy questions remains.
States are increasingly turning to machine learning and algorithms to detect fraud in food stamps, Medicaid and other welfare programs – despite little evidence of actual fraud.
Data privacy regulations are being adopted to protect internet users. Today, humans need to read those rules to ensure compliance. New research suggests machines could interpret them in real time.
The digital economy will, soon, become the ordinary economy as the uptake - and application - of digital technologies in every sector in the world grows.
Grant Jun Otsuki, Te Herenga Waka — Victoria University of Wellington
AI-powered text generators are becoming increasingly easy to access. Rather than banning their use by students, educators should think about incorporating such tools into their curriculums.
Xenobots have been called the world’s first “living robots”. They are made entirely of living tissue, and can be programmed to move towards a certain object.
Abandoned trolleys are an all-too-common sight. A solution to this intractable problem depends on a combination of policy and legal changes, public engagement and tracking technology.