Cutting NSF Is Like Liquidating Your Finest Investment
Look closely at your mobile phone or tablet. Touch-screen technology, speech recognition, digital sound recording and the internet were all developed using […]
Cryptocurrencies are so last year. Today’s moral panic is about AI and machine learning. Governments around the world are hastening to adopt […]
The double-blind review process, adopted by many publishers and funding agencies, plays a vital role in maintaining fairness and unbiasedness by concealing the identities of authors and reviewers. However, in the era of artificial intelligence (AI) and big data, a pressing question arises: can an author’s identity be deduced even from an anonymized paper (in cases where the authors do not advertise their submitted article on social media)?
Empathic consciousness in AI opens new horizons in service that puts the relationship between the machines and the humans in exciting and uncharted territories.
Meredith Broussard, one of the few Black women doing research in artificial intelligence, would like to see us tackling the problems that have been shown to be prevalent in today’s AI systems, especially the issue of bias based on race, gender, or ability.
Carnegie Mellon University has received a five-year, $20 million award from the U.S. National Science Foundation to lead an institute that will employ social scientists and artificial intelligence researchers to create human-centric AI tools to help people address challenges on the job.
Machine learning tools like chatbots and virtual assistants can emulate the work of psychologists and psychotherapists and are even helping to address people’s basic therapeutic needs.
The topic of robots and humans working together in teams, so-called mixed human-robot teams, is of particular interest, as teams are the norm in the workplace for many of us.
Who will use AI-assisted writing tools — and what will they use them for? The short answer, says Katie Metzler, is everyone and for almost every task that involves typing.