When people talk about artificial intelligence in the education field, they're often referring to machine learning, Oranje said, in which a machine is …

The promises and challenges of artificial intelligence and machine learning highlighted the Oct. 9 MIT Materials Day Symposium, with presentations …

Dr Brent Mittelstadt's paper'Principles alone cannot guarantee ethical AI', published in the journal Nature Machine Intelligence, argues that a principled approach may not be the best way to approach ethical development and governance of AI. Consensus has seemingly emerged around a set of ethical principles for AI that closely resemble the classic ethical principles of medicine, but there are several reasons to doubt that a principled approach will have comparable impact on AI development as it has historically had in medicine. The vast complexity of AI and a lack of common aims between developers and users suggest principles may be too vague and high-level to be workable. To address these shortcomings, Dr Brent Mittelstadt calls for increased support for'bottom-up' work on ethical AI. Companies must be prepared to disclose more about how they develop and audit AI systems, and work more openly with researchers and the public.

Dealing with misinformation in the digital age is a complex problem. Not only does misinformation have to be identified, tagged, and corrected, but the intent of those responsible for making the claim should also be distinguished. A person may unknowingly spread misinformation, or just be giving their opinion on an issue even though it is later reported as fact. Recently, a team of AI researchers and engineers at Dartmouth created a framework that can be used to derive opinion from "fake news" reports. As ScienceDaily reports, the Dartmouth team's study was recently published in the Journal of Experimental & Theoretical Artificial Intelligence.

Editor's Note: Get caught up in minutes with our speedy summary of today's must-read news stories and expert opinions that moved the precious metals and financial markets. The Australian government is setting up two mining research centres in partnership with universities and commercial supporters, according to an announcement made on Tuesday. The centers will be based in Sydney and Adelaide. The Australian government said research activity at the University of Sydney "...will focus on data analytics related to the long-term impact of resource use on Australia's economy, society and environment. It will help develop the necessary data science skills for Australia's resource industries to make the best possible evidence-based decisions when using our natural resources." The University of Adelaide will focus on advanced sensors and data analytics.