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 […]
Free Online Course Reveals The Art of ChatGPT Interactions
You’ve likely heard the hype around artificial intelligence, or AI, but do you find ChatGPT genuinely useful in your professional life? A free course offered by Sage Campus could change all th
Data Analytics and Artificial Intelligence in the Complex Environment of Megaprojects: Implications for Practitioners and Project Organizing Theory
The authors review the ways in which data analytics and artificial intelligence can engender more stability and efficiency in megaprojects. They evaluate the present and likely future use of digital technology—particularly with regard to construction projects — discuss the likely benefits, and also consider some of the challenges around digitization.
Why Don’t Algorithms Agree With Each Other?
David Canter reviews his experience of filling in automated forms online for the same thing but getting very different answers, revealing the value systems built into these supposedly neutral processes.
NSF Responsible Tech Initiative Looking at AI, Biotech and Climate
The U.S. National Science Foundation’s new Responsible Design, Development, and Deployment of Technologies (ReDDDoT) program supports research, implementation, and educational projects for multidisciplinary, multi-sector teams
What Do We Know about Plagiarism These Days?
In the following Q&A, Roger J. Kreuz, a psychology professor who is working on a manuscript about the history and psychology of plagiarism, explains the nature and prevalence of plagiarism and the challenges associated with detecting it in the age of AI.
Did Turing Miss the Point? Should He Have Thought of the Limerick Test?
David Canter is horrified by the power of readily available large language technology.
How Intelligent is Artificial Intelligence?
Cryptocurrencies are so last year. Today’s moral panic is about AI and machine learning. Governments around the world are hastening to adopt […]
Maintaining Anonymity In Double-Blind Peer Review During The Age of Artificial Intelligence
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)?
