Could Distributed Peer Review Better Decide Grant Funding?
The landscape of academic grant funding is notoriously competitive and plagued by lengthy, bureaucratic processes, exacerbated by difficulties in finding willing reviewers. Distributed […]
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.
Artificial intelligence tools like OpenAI’s ChatGPT language model could make completing college coursework as simple as asking a computer questions and getting answers at the click of a button (to the prospective horror of some professors). In fact, 61 percent of college students say using AI tools will become the new normal, but does that new normal involve students learning or machines learning?
David Canter considers some implications of ChatGPT and what it tells us about real intelligence, general, artificial or otherwise.
The role of AI in the production of research papers is rapidly moving from being a futuristic vision, towards an everyday reality; a situation with significant consequences for research integrity and the detection of fraudulent research. Rebecca Lawrence and Sabina Alam argue that for publishers, collaboration and open research workflows are key to ensuring the reliability of the scholarly record.