Context-Based AI for Generative Artificial Intelligence: Analysing Business Processes and Leadership Problems in the Information Economy
I study personality and leadership at Católica Porto Business School in Portugal and am an associate editor at Personality and Individual Differences and Psychology of Leaders and Leadership. The value that I derive from generative AI is not from the technology itself blindly churning out text, but from engaging with the tool and using my own expertise to refine what it produces. The dialogue between me and the chatbot gives me a better understanding of complex topics while teaching me how to describe them in a simpler way.
The context is important. There isn’t anything you can expect from generative Artificial Intelligence to provide a meaningful response to a question without it. The context should be the first thing you say when you use a bot to refine a section of your paper. What is your main argument in your paper? Jot down your ideas in any format — even bullet points will work. Then, present this information to the generative AI of your choice. I typically use ChatGPT, made by OpenAI in San Francisco, California, but for tasks that demand a deep understanding of language nuances, such as analysing search queries or text, I find Gemini, developed by researchers at Google, to be particularly effective. The open-source large language models made by Mixtral, based in Paris, are ideal when you’re working offline but still need assistance from a chatbot.
The first reply may not be perfect but it is a collaborative and iterative process. You might need to refine your instructions or add more information, much as you would when discussing a concept with a colleague. The results will be improved by the interaction. Don’t hesitate to say “This isn’t what I meant” if something doesn’t quite hit the mark. Let’s adjust this part.” Or you can commend its improvements: “This is much clearer, but let’s tweak the ending for a stronger transition to the next section.”
If I find a paper has pros and cons, I might feed it into the writing program and make it a letter for the author. Highlight the manuscript’s key issues and clearly explain why the manuscript, despite its interesting topic, might not provide a substantial enough advancement to merit publication. Don’t use jargon. Be direct. Maintain a professional and respectful tone throughout.” Again, it might take a few iterations to get the tone and content just right.
I think this approach improves the quality of my feedback and helps me convey my thoughts in a supportive way. The result is a more positive and productive dialogue between editors and authors.
Turnitin: AI Writing Detection and Flagging for AI-Generated Texts in the Schools and Grammarly, for Students in High School and College
A year ago, Turnitin rolled out an AI writing detection tool that was trained on its trove of papers written by students as well as other AI-generated texts. Since then, more than 200 million papers have been reviewed by the detector, predominantly written by high school and college students. 11 percent of the content may include Artificial Intelligence, and 20 percent may, with 3 percent of the total reviewed getting flagged for having 80 percent or more writing that is written in artificial intelligence. Advance is also the owner of Condé Nast, publisher of WIRED. Turnitin says its detector has a false positive rate of less than 1 percent when analyzing full documents.
Students aren’t tempted by only a few models, they also don’t like all of them. So-called word spinners are another type of AI software that rewrites text, and may make it less obvious to a teacher that work was plagiarized or generated by AI. Turnitin’s AI detector has also been updated to detect word spinners, says Annie Chechitelli, the company’s chief product officer. It can also flag work that was rewritten by services like spell checker Grammarly, which now has its own generative AI tool. As familiar software increasingly adds generative AI components, what students can and can’t use becomes more muddled.