What uses for artificial intelligence (AI) might we expect outside of the publication workflow? Some answers to this question can be found through the lenses of sustainability, justice, and resilience.
An update on how generative AI has progressed and how it has been applied to research publishing processes since ChatGPT was released, looking at business, application, technology, and ethical aspects of generative AI.
Will artificial intelligence fatally undermine the integrity of scholarly publishing? A formal debate from the annual meeting of the Society for Scholarly Publishing.
Looking at five ‘lines’ that the publishing industry has broadly agreed upon, but that now we are finding ourselves crossing.
The Data Hazards project looks at the problems in applying traditional ethical values to research that uses machine learning and artificial intelligence.
FORCE11 and COPE release recommendations on data publishing ethics for researchers, publishers, and editors.
To mark the first unofficial Publishing Ethics Week, Allegra Martschenko and Rachael Levay discuss the importance of responsible, ethical mentorship.
Robert Harington and Melinda Baldwin discuss whether peer review has a role to play in uncovering scientific fraud.
Are libraries “neutral”? That question is way too simplistic to serve as anything other than a political football.
A look at developments in research integrity, and the attempt to build a universal culture of ethical and responsible practice in research as well as systems within the overall research ecosystem for such a culture to flourish.
Chefs Alice Meadows, Jasmine Wallace, and Karin Wulf tackle Peer Review Week 2020’s theme of Trust in Peer Review with this post on trust as both an ethic and a practice
Should the library focus first on serving its local constituency, or on changing the scholarly communication ecosystem? No matter how we answer this question, the implications will be complex.
Can you prioritize privacy in user research? Simply put – yes.
Even Silicon Valley is finding that recurring revenues (aka, subscriptions) lead to more valuable businesses, while helping smaller companies thrive.
A new book explores how biases and broken systems get built into technology products and platforms.