Virtual assistants and robots are frequently given female attributes. To curb the massive use of such gendering in AI, we need to better understand the deep roots of this phenomenon.
Elon Musk’s brain-machine interface technology could bring humans and computers closer together than ever before, and herald a new frontier in healthcare
Artificial intelligence is probably already helping many students write essays. Schools and unis need to start talking about the ethical implications now.
The new Alphabet Workers Union is making clear that changes must be put in place, both in education and on the job, to allow engineers to start taking responsibility for the social impact of their work.
While AI is intended to help us, it tempts us to abandon judgment and moral responsibility. And without a proper understanding of how it works, we cannot circumvent its negative effects.
Google is using artificial intelligence to collect and process user data in a way that produces more nuanced and detailed information about our activities but addresses privacy concerns.
Some AI systems make faulty assumptions about women and nonwhite men, which can lead to misdiagnoses. Overcoming this bias takes legal, regulatory and technical fixes.
By letting machines recommend movies and decide whom to hire, humans are losing their unpredictable nature – and possibly the ability to make everyday judgments, as well.
Innovative border control technologies may be great for governments cracking down on migration — but they could further disadvantage groups that are already vulnerable.
As the use of robots and autonomous machines increases across industries, governments need to have a strategy in place. The labour force will transition out of automated tasks into new jobs.