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We, the APA Style team, are not robots. We can all pass a CAPTCHA test , and we know our roles in a Turing test . And, like so many nonrobot human beings this year, we’ve spent a fair amount of time reading, learning, and thinking about issues related to large language models, artificial intelligence (AI), AI-generated text, and specifically ChatGPT . We’ve also been gathering opinions and feedback about the use and citation of ChatGPT. Thank you to everyone who has contributed and shared ideas, opinions, research, and feedback.
In this post, I discuss situations where students and researchers use ChatGPT to create text and to facilitate their research, not to write the full text of their paper or manuscript. We know instructors have differing opinions about how or even whether students should use ChatGPT, and we’ll be continuing to collect feedback about instructor and student questions. As always, defer to instructor guidelines when writing student papers. For more about guidelines and policies about student and author use of ChatGPT, see the last section of this post.
If you’ve used ChatGPT or other AI tools in your research, describe how you used the tool in your Method section or in a comparable section of your paper. For literature reviews or other types of essays or response or reaction papers, you might describe how you used the tool in your introduction. In your text, provide the prompt you used and then any portion of the relevant text that was generated in response.
Unfortunately, the results of a ChatGPT “chat” are not retrievable by other readers, and although nonretrievable data or quotations in APA Style papers are usually cited as personal communications , with ChatGPT-generated text there is no person communicating. Quoting ChatGPT’s text from a chat session is therefore more like sharing an algorithm’s output; thus, credit the author of the algorithm with a reference list entry and the corresponding in-text citation.
When prompted with “Is the left brain right brain divide real or a metaphor?” the ChatGPT-generated text indicated that although the two brain hemispheres are somewhat specialized, “the notation that people can be characterized as ‘left-brained’ or ‘right-brained’ is considered to be an oversimplification and a popular myth” (OpenAI, 2023).
OpenAI. (2023). ChatGPT (Mar 14 version) [Large language model]. https://chat.openai.com/chat
You may also put the full text of long responses from ChatGPT in an appendix of your paper or in online supplemental materials, so readers have access to the exact text that was generated. It is particularly important to document the exact text created because ChatGPT will generate a unique response in each chat session, even if given the same prompt. If you create appendices or supplemental materials, remember that each should be called out at least once in the body of your APA Style paper.
When given a follow-up prompt of “What is a more accurate representation?” the ChatGPT-generated text indicated that “different brain regions work together to support various cognitive processes” and “the functional specialization of different regions can change in response to experience and environmental factors” (OpenAI, 2023; see Appendix A for the full transcript).
The in-text citations and references above are adapted from the reference template for software in Section 10.10 of the Publication Manual (American Psychological Association, 2020, Chapter 10). Although here we focus on ChatGPT, because these guidelines are based on the software template, they can be adapted to note the use of other large language models (e.g., Bard), algorithms, and similar software.
The reference and in-text citations for ChatGPT are formatted as follows:
Let’s break that reference down and look at the four elements (author, date, title, and source):
Author: The author of the model is OpenAI.
Date: The date is the year of the version you used. Following the template in Section 10.10, you need to include only the year, not the exact date. The version number provides the specific date information a reader might need.
Title: The name of the model is “ChatGPT,” so that serves as the title and is italicized in your reference, as shown in the template. Although OpenAI labels unique iterations (i.e., ChatGPT-3, ChatGPT-4), they are using “ChatGPT” as the general name of the model, with updates identified with version numbers.
The version number is included after the title in parentheses. The format for the version number in ChatGPT references includes the date because that is how OpenAI is labeling the versions. Different large language models or software might use different version numbering; use the version number in the format the author or publisher provides, which may be a numbering system (e.g., Version 2.0) or other methods.
Bracketed text is used in references for additional descriptions when they are needed to help a reader understand what’s being cited. References for a number of common sources, such as journal articles and books, do not include bracketed descriptions, but things outside of the typical peer-reviewed system often do. In the case of a reference for ChatGPT, provide the descriptor “Large language model” in square brackets. OpenAI describes ChatGPT-4 as a “large multimodal model,” so that description may be provided instead if you are using ChatGPT-4. Later versions and software or models from other companies may need different descriptions, based on how the publishers describe the model. The goal of the bracketed text is to briefly describe the kind of model to your reader.
Source: When the publisher name and the author name are the same, do not repeat the publisher name in the source element of the reference, and move directly to the URL. This is the case for ChatGPT. The URL for ChatGPT is https://chat.openai.com/chat . For other models or products for which you may create a reference, use the URL that links as directly as possible to the source (i.e., the page where you can access the model, not the publisher’s homepage).
You may have noticed the confidence with which ChatGPT described the ideas of brain lateralization and how the brain operates, without citing any sources. I asked for a list of sources to support those claims and ChatGPT provided five references—four of which I was able to find online. The fifth does not seem to be a real article; the digital object identifier given for that reference belongs to a different article, and I was not able to find any article with the authors, date, title, and source details that ChatGPT provided. Authors using ChatGPT or similar AI tools for research should consider making this scrutiny of the primary sources a standard process. If the sources are real, accurate, and relevant, it may be better to read those original sources to learn from that research and paraphrase or quote from those articles, as applicable, than to use the model’s interpretation of them.
We’ve also received a number of other questions about ChatGPT. Should students be allowed to use it? What guidelines should instructors create for students using AI? Does using AI-generated text constitute plagiarism? Should authors who use ChatGPT credit ChatGPT or OpenAI in their byline? What are the copyright implications ?
On these questions, researchers, editors, instructors, and others are actively debating and creating parameters and guidelines. Many of you have sent us feedback, and we encourage you to continue to do so in the comments below. We will also study the policies and procedures being established by instructors, publishers, and academic institutions, with a goal of creating guidelines that reflect the many real-world applications of AI-generated text.
For questions about manuscript byline credit, plagiarism, and related ChatGPT and AI topics, the APA Style team is seeking the recommendations of APA Journals editors. APA Style guidelines based on those recommendations will be posted on this blog and on the APA Style site later this year.
Update: APA Journals has published policies on the use of generative AI in scholarly materials .
We, the APA Style team humans, appreciate your patience as we navigate these unique challenges and new ways of thinking about how authors, researchers, and students learn, write, and work with new technologies.
American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.). https://doi.org/10.1037/0000165-000
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As radioisotopes power the Perseverance rover to explore Mars, perseverance “powered” three winners to write essays each year till they achieved their mission goal of winning NASA’s Power to Explore Challenge . These students explored behind the scenes at NASA's Glenn Research Center and Great Lakes Science Center (GLSC) in Cleveland after writing the top essays in the national contest.
The competition for kindergarten through 12th grade students focuses on the enabling power of radioisotopes. Students were challenged to learn how NASA has powered some of its most famous science missions and to dream up how their personal “superpower” would energize their own radioisotope-powered science mission.
Judges narrowed down over a seventeen hundred creative essays to 45 semi-finalists, who received prize packs, nine finalists, who participated in a videoconference with NASA experts, and three winners, who were awarded with a visit to NASA Glenn.
Dr. Wanda Peters
Acting Deputy Director, NASA's Glenn Research Center
“I’m so impressed by the work of these talented young students,” said Dr. Wanda Peters, acting deputy center director at NASA Glenn. “It’s wonderful to see their interest, innovation, and creativity at this stage in their lives. Our future is bright!”
Rainie Lin , the kindergarten through fourth grade winner; Aadya Karthik , the fifth through eighth grade winner, and Thomas Liu , the ninth through 12th grade winner, toured several research facilities including the Electric Propulsion and Power Laboratory , Telescience Support Center , Graphics and Visualization Lab , and Simulated Lunar Operations Lab . Along the way, they met with engineers and researchers to learn about NASA’s missions and the technologies that are innovating exploration.
The next day students and their families traveled to GLSC, which houses NASA Glenn’s Visitor Center. Accompanied by members of NASA’s Radioisotope Power Systems (RPS) team, the group toured the visitor center and explored the many interactive displays.
“It was our pleasure to host the three student winners of The Power to Explore Challenge, and I hope that this visit will further inspire and motivate them to pursue their interests in science and exploration,” said Carl Sandifer, manager for NASA’s RPS Program. "We are so impressed by the ideas and quality of the essays submitted this year and we can’t wait to what new ideas student come up with for next year’s challenge!”
The Power to Explore Challenge asked students to learn about the RPS, one of NASA’s “nuclear batteries” it uses to explore some of the most extreme destinations in our solar system and beyond. Students then wrote about their own power to achieve goals in 250 words or less.
NASA will hold its fourth-annual Power to Explore Challenge later this fall. For more information on the challenge visit: The Power to Explore Writing Challenge homepage .
ABOUT THE CHALLENGE:
Power to Explore is a national essay challenge that asks students in grades K-12 to learn about Radioisotope Power Systems (RPS), a type of “nuclear battery” that NASA uses to explore some of the most extreme destinations in our solar system and beyond, and then write about, in 250 words or less, an RPS-powered space mission that would energize their space exploration dreams.
ABOUT FUTURE ENGINEERS:
Future Engineers hosts online contests and challenges for K-12 students. Previous challenges have helped produce historic achievements – from naming NASA’s Perseverance rover to manufacturing the first student-designed 3D print in space. All challenges are offered free for student and classroom participation. For more information, visit futureengineers.org . Follow Future Engineers on Twitter , Facebook , and Instagram .
Media Contact: Kristin Jansen Public Affairs Specialist Office of Communications NASA RPS Program Phone: 216-296-2203 Email: [email protected]
Radioisotope Power Systems
About Plutonium-238
Radioisotope Power Systems Missions
Radioisotope Power Systems Safety and Reliability
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As radioisotopes power the Perseverance rover to explore Mars, perseverance "powered" three winners to write essays each year till they achieved their mission goal of winning NASA's Power to Explore Challenge.These students explored behind the scenes at NASA's Glenn Research Center and Great Lakes Science Center (GLSC) in Cleveland after writing the top essays in the national contest.