It could seem attractive to try to teach computers to detect harassment, threats and abusive language. But it's much more difficult than it might appear.
Information extracted from copyrighted material should not be seen as an infringement. Such analytical use is good for society.
Amazon, Google and Apple's attempts to understand the tone of human voices can reflect human biases.
Google's latest AI promises to help arrange your life by making appointment for you over the phone, but it's limited by its rote learning of the simple tasks of everyday life.
Using AI to search for ET might help us find things we couldn't even imagine we should look for, but to succeed we also have think critically about how we create and use that technology.
By 2022, people in developed countries may see more fake news than accurate information. Artificial intelligence may be to blame – but could also help people sort out the truth from lies.
AI seems able to answer questions at the heart of humanitarianism – questions such as who we should save, and how to be effective at scale.
Europe loses as many trees to storms each year as Poland produces in timber. Until now, the models for predicting which trees are at risk have not been good enough.
The report of the mathematician and deputy of Essonne Cédric Villani renders his report on artificial intelligence today.
An email from Aleksandr Kogan sheds light on exactly how much your Facebook data reveals about you, and what data scientists can actually do with that information.
The chatbot industry sees more data as the answer to building a truly conversational system. But the industry may be teaching chatbots the wrong thing.
A branch of AI research promises to deliver computers that evolve their own software but the tech industry has yet to catch on.
Can a computer model correctly predict the results of the first round in this year's tournament? These mathematicians think so.
Machine learning isn't reliable enough yet – and it's short-sighted to only train this detection tech on jihadi content.
The history of human-machine collaboration suggests that AI will evolve into a "cognitive partner" to humankind rather than as all-powerful, all-knowing, labour replacing robots.
Does big data threaten how humans explore the natural world? We need to protect our impulses to observe, compare, play, discover and love, no matter what technological capabilities are available.
Predicting human behavior is big business. But science may never be able to do so with perfect certainty.
Google's artificial intelligence has been taught to look for planets around other stars. It's already making new discoveries that scientists have missed.
DeepMind's machine learning collaboration with another NHS trust (this time, it's applying the tech to breast cancer) kicks up more questions of trust.
For future machines to be as smart as we are, they'll need to be able to learn like we do.