Swimming in the AI Data Lake: Why Disclosure and Versions of Record Are More Important than Ever
Data quality and record keeping are going to grow in importance as a result of AI applications.
Data quality and record keeping are going to grow in importance as a result of AI applications.
The impact of the changes artificial intelligence will cause rests on how creative humans can be at harnessing novel technologies to the greatest benefit. The challenge, then, for publishers, is to ensure they are the creative adopters leading the charge, as opposed to being trampled by better customer experiences created by other technological disruptors.
Can current AI offerings be trusted as research tools?
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.
Avi Staiman discusses the value that ChatGPT can bring to scholarly communication, particularly leveling the playing field for English as an Additional Language authors.
Back to SXSW this year! Hear about the conference, the speakers, and the themes. Tell us what resonates with you the most!
Craig Griffin looks at potential applications we might see for tools like ChatGPT in scholarly publishing. Also included — a research results haiku.
A compilation of links and a video to incisive analyses of ChatGPT and what it means for the future.
In preparation for a presentation, Curtis Kendrick tried ChatGPT to see what it (they?) had to say. The results at first seemed credible, but where ChatGPT failed miserably was in the non-existent citations it provided.
After making up a false claim about a nonexistent study done by the AAAS, the AI software admitted that it made a mistake and then apologized.
An interview with ChatGPT on issues related to scholarly communication.