Guest Post — Artificial Intelligence Not Yet Intelligent Enough to be a Trusted Research Aid
Can current AI offerings be trusted as research tools?
Can current AI offerings be trusted as research tools?
At Ithaka S+R, we are examining the shared infrastructure that supports scholarly communication. Today, we provide background about the project and announce the publication this week of a landscape review on shared infrastructure.
Open access is public access. With the Nelson OSTP memo as a catalyst for Green-via-Gold, will we still need agency repositories?
The SSPs Generations Fund hits a milestone and we’d like to acknowledge our supporters.
The ISMTE DEI Advisory Committee calls on the field of scholarly publishing to set goals and actively work to achieve operational carbon and climate neutrality.
An SNSI research project looks at the views of university Chief Information Security Officers toward network security, potential threats, data security, and the risks posed by Sci-Hub.
Looking at five ‘lines’ that the publishing industry has broadly agreed upon, but that now we are finding ourselves crossing.
Today, Clarivate has installed Bar Veinstein as president for Academic and Government, a move that should bring renewed focus to the product portfolio, writes Roger C. Schonfeld.
Jo Havemann presents a map containing more than 200 resources and supplementary data nodes across the spectrum of available tools, guidelines, events, and services by research discipline, also including general resources that are sortable by Open Science principle, language or country.
After a decade at the helm of the Association of University Presses, Peter M. Berkery Jr. assesses the organization and environment for university presses and their work.
In this moment of success for open access advocacy, Roger C. Schonfeld proposes that the academic library not take responsibility for implementing open access mandates. The first of several scenarios we will consider.
The Data Hazards project looks at the problems in applying traditional ethical values to research that uses machine learning and artificial intelligence.
What will the “grey goo” of AI generated text do to us? A scholar of writing and technology talks with us about AI and Large Language Models.
Saikiran Chandha discusses the impact of GPT-3 and related models on research, the potential question marks, and the steps that scholarly publishers can take to protect their interests.
Journal-level impact feeds academic impact, which in turn feeds broader impacts potential