It’s challenging to make virtual assistants sound natural and conversational?
As the use of virtual assistants like Siri and Alexa expand in homes and workplaces, designers are working to make voice exchanges more natural.
Through the act of suggesting some words and not others, the predictive text features in our devices change the way we think — and therefore shape our culture.
The left photo shows a Kodak booth in Australia in the 1930s. The right photo is it colourized using the software program DeOldify.
(Museums Victoria/Unsplash, DeOldify)
The algorithm has become a new way of capturing reality automatically, and it demands a heightened ethical engagement with photos.
Activists, influencers raise alarm after MMIWG content disappears from Instagram on Red Dress Day.
Automated content moderation using algorithms are quick and cheaper. But, they’re not necessarily better than human beings. They are prone to errors and can impose bias in a systemic scale.
Many other public bodies have flawed and outdated computer systems. How long before something else goes wrong?
Endearing and amusing, AI's faltering attempts at flirting show how far computer-generated language has come.
The FTC put companies that sell AI systems on notice: Cross the line with biased products and the law is coming for you.
Maciej Frolow/Stone via Getty Images
The Federal Trade Commission is rattling its saber at the technology industry over growing public concern about biased AI algorithms. Can the agency back up its threats?
The researchers used machine learning to study the 2,000-year-old document.
The strong new laws will ban AI applications believed to violate EU citizens' fundamental rights.
AI can be biased.
Emotion recognition technology raises questions about bias, privacy and mass surveillance.
Why do we perceive female robots as more human than male robots?
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.
Most of today’s AI’s come to a grinding halt when they encounter unexpected conditions, like a change in the rules of a game.
LightFieldStudios/iStock via Getty Images
Humans often stumble when they encounter the unexpected, but they tend to adapt and move on. Artificial intelligence systems, not so much.
The public holds self-driving cars to incredibly high safety standards – and we're working to meet them.
In this September 2019 photo, a woman walks below a Google sign on the campus in Mountain View, Calif.
(AP Photo/Jeff Chiu)
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.
Even the Oxford English Dictionary contains traces of sexism – it's little wonder that our translation tools do too.
CCTV technology has evolved in the decades since it was first introduced.
The CCTV ecosystem is evolving – but it's still a sparse patchwork with limited efficacy in reducing or prosecuting crime.
Using a simulation, we found scenarios where AI regulations could be most effective.
Today, artificial intelligence is deeply imbedded in the systems we use to make decisions. However, the assumptions on which they’re built are often completely hidden to us.
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.