ScienceGeist

Predictions a few years ago that AI would soon replace radiologists haven't come to pass. AI has a long way to go before it can become autonomous.

Millions of Flickr images were sucked into a database called MegaFace. Now some of those faces may have the ability to sue.

Diane Greene, the head of Google's Cloud business, is said to have told employees that it was backing away from the A.I. work with the military.

Research suggests AI able to interpret medical images using deep learning algorithm.

Algorithms may simply lead to 'self-fulfilling prophecies' and do not give reasons for their decisions, Oxford researcher warns.

Machine-learning systems are black boxes even to the researchers that build them. That makes it hard for others to assess the results.

As AI technology develops rapidly, it is widely recognized that ethical guidelines are required for safe and fair implementation in society. But is it possible to agree on what is 'ethical AI'? A detailed analysis of 84 AI ethics reports around the world, from national and international organizations, companies and institutes, explores this question, finding a convergence around core principles but substantial divergence on practical implementation.

Alphabet's DeepMind unit, conqueror of Go and other games, is losing lots of money. Continued deficits could imperil investments in AI.

Artificial Intelligence medical tools could help democratize health care - but some worry they could also worsen inequalities.

Only a few legislators really know what they're talking about, but it's a start.

The controversial panel lasted just a little over a week.

We asked experts for practical suggestions on why Google's AI ethics council bombed and what the company should do next.

Whether probing the evolution of galaxies or discovering new chemical compounds, algorithms are detecting patterns no humans could have spotted.

The ethical issues swirling around artificial intelligence (AI) are under-researched, with surprisingly little serious academic investigation into AI ethics, despite the huge amount of money pouring into the field and the rampant pace at which the technology is advancing.

Techniques used to analyse data are producing misleading and often wrong results, critics say.

Social science has an image problem - too many findings don't hold up. A new project will crank through 30,000 studies to try to identify red flags.

The Elon Musk-backed nonprofit company OpenAI declines to release research publicly for fear of misuse

In public, executives wring their hands over automation's negative consequences for workers. In private, they talk about how they are racing to automate.

The process of buying something and therefore recognizing it is comparatively simple, but how do you create a schema for recognizing a cold war, or a bear market? That’s what DARPA wants to look into.

The integration of AIRA - Artificial Intelligence Review Assistant - into Frontiers' digital peer-review platform enables faster, more efficient quality control and manuscript handling.

The International Panel on Artificial Intelligence will be modeled on a group formed to study climate change and recommend government policies.

Yoshua Bengio wants to stop talk of an AI arms race, and make the technology more accessible to the developing world.

A new wave of chatbots are replacing physicians and providing frontline medical advice-but are they as good as the real thing?

The impact of AI technologies on work and working life, and renewed public and policy debates about automation and the future of work.

As artificially intelligent tools for literature and data exploration evolve, developers seek to automate how hypotheses are generated and validated.

Here’s how China rules using data, AI, and internet surveillance.

Judea Pearl, a pioneering figure in artificial intelligence, argues that AI has been stuck in a decades-long rut. His prescription for progress? Teach machines.

New IBM system shows off argumentation skills.

Kai-Fu Lee - a former Apple, Microsoft and Google executive turned investor - is placing big bets on machine learning. And China is leading the way.

Europe aims to catch up to China and United States in global artificial intelligence “arms race”