ScienceGeist

Achieving the global benefits of artificial intelligence (AI) will require international cooperation on many areas of governance and ethical standards, while allowing for diverse cultural perspectives and priorities.

The hunt is on for better ways to collect and search pandemic studies

Artificial-intelligence tool aims to reveal whether research findings are supported or contradicted by subsequent studies.

OpenAI released Jukebox, a state-of-the-art AI model capable of generating music with vocals in the style of various artists and genres. I highlight some of my favorite samples and discuss the legality of it all.

Machine learning spots molecules that work even against 'untreatable' strains of bacteria.

Artificial intelligence tools are used on a historical piece of footage to great effect.

The main points developed by Edward Snowden during his speech at the Applied Machine Learning Days at EPFL. In the second part of his speech, the American answered questions. The main part of this interview are also reported.

As AI gets more talkative, designers need to consider the ethics of gendering not just voices, but the finer nuances of speech patterns.

Hospitals trial intelligent machines to improve cancer detection and results so far are promising.

Computers that are trained to recognize patterns and interpret images may outperform humans at finding cancer on X-rays.

The 2010s have seen breakthroughs in frontiers from gene editing to gravitational waves. The coming one must focus on climate change.

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.