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 […]
The Mystery of Xenotransplantation for Social Sciences
Xenotransplantation is a fascinating subject – for obvious reasons, as it involves transplanting organs or other body parts across species boundaries (in […]
AI is Here, But Is It Here to Help Us or Replace Us?
Decisions taken now around how generative AI is used by academics and universities will shape the future of research. Mark Carrigan argues whilst optimistic scenarios are possible, generative AI stands ready to feed into an existing productivity oriented framing of academic work.
NAS Report Examines Nexus of AI and Workplace
A 2024 report by the National Academies explores the latest advances in artificial intelligence (AI) technology and their potential effects on economic productivity, job stability, and income inequality. It also highlights key research opportunities and data needs to help workers and policymakers adapt to the evolving AI landscape.
When Do You Need to Trust a GenAI’s Input to Your Innovation Process?
In this post, co-authors Frank T. Piller, Tucker J. Marion, and Mahdi Srour reflect on the inspiration behind their research article, “Generative […]
The Authors of ‘Artificial Intelligence and Work’ on Future Risk
During the final stages of editing the proofs for Artificial Intelligence and Work: Transforming Work, Organizations, and Society in an Age of Insecurity, […]
Beware! AI Can Lie.
David Canter reveals how he discovered Microsoft Copilot acted like a lazy student, inventing responses with apparent confidence that were blatantly wrong. […]
Canada’s Storytellers Challenge Seeks Compelling Narratives About Student Research
“We are, as a species, addicted to story,” says English professor Jonathan Gottschall in his book, The Storytelling Animal. “Even when the […]
Our Open-Source Tool Allows AI-Assisted Qualitative Research at Scale
The interactional skill of large language models enables them to carry out qualitative research interviews at speed and scale. Demonstrating the ability of these new techniques in a range of qualitative enquiries, Friedrich Geiecke and Xavier Jaravel, present a new open source platform to support this new form of qualitative research.
