To what extent can AI be used in scientific writing?
Routine aspects of inspection and considerations include, but not limited to:
Obtaining the research question and hypothesis, choosing statistical analytic approaches and methods, data Interpretation, English editing, content Generation, drawing conclusions, etc.
These are just several aspects, however, the potential hazards include the risk of bias, uniform tone in writing, lack of creativity, etc. Although with supervised use all these aspects can be partially controlled, to what extend do you believe the integration of AI in scientific literature is justified?
Obtaining the research question and hypothesis, choosing statistical analytic approaches and methods, data Interpretation, English editing, content Generation, drawing conclusions, etc.
These are just several aspects, however, the potential hazards include the risk of bias, uniform tone in writing, lack of creativity, etc. Although with supervised use all these aspects can be partially controlled, to what extend do you believe the integration of AI in scientific literature is justified?
Artificial intelligence
Epidemiology
Machine learning
Medical education
Medicine
JBK
Large language models (LLMs), the currently available AI tools for writing, are not yet sufficient for technical writing which required high accuracy and cited sources. There are many possible applications for AI and LLMs in scientific fields including writing, however, it does not possess logical reasoning capabilities.
For instance, consider this: when asked the question, "If it takes 3 towels hanging on a clothesline 3 hours to dry, how long will it take 9 towels to dry", GPT answers, "9 hours". It cannot contextualize information or draw logical conclusions - it is simply a text simulator.
In summary, LLMs / AI have not yet progressed to the capability level for good scientific writing. Continue to explore AI capabilities with great caution.
For instance, consider this: when asked the question, "If it takes 3 towels hanging on a clothesline 3 hours to dry, how long will it take 9 towels to dry", GPT answers, "9 hours". It cannot contextualize information or draw logical conclusions - it is simply a text simulator.
In summary, LLMs / AI have not yet progressed to the capability level for good scientific writing. Continue to explore AI capabilities with great caution.
TM
**AI** (Artificial Intelligence) has significantly impacted scientific writing, offering a range of tools and capabilities that enhance efficiency, accuracy, and productivity. Here are some ways AI can be used in scientific writing:
1. **Literature Review and Paper Search**:
- **Semantic Scholar** and **elicit.org** are AI-powered tools that efficiently search and map relevant scientific literature. They can quickly identify relevant papers, mine key information from countless PDFs, and reduce research time.
- These tools allow researchers to navigate the vast sea of scientific research, uncover citations, and focus on academic writing.
2. **Content Generation**:
- AI tools can generate drafts, summaries, and even entire sections of research papers. Researchers can focus more on analysis and research while AI handles routine writing tasks.
- **Supersymmetry.ai** is an example of an AI tool that assists with content generation.
3. **Grammar and Style Checks**:
- AI-driven grammar and spelling checkers ensure that scientific writing adheres to proper language conventions.
- These tools provide suggestions for improving style, tone, and clarity.
4. **Plagiarism Detection**:
- AI algorithms can identify potential instances of plagiarism by comparing the text to existing scientific literature.
- Researchers can ensure the originality and integrity of their work.
5. **Reference Formatting**:
- AI tools can automatically format citations and references according to various citation styles (e.g., APA, MLA, Chicago).
- This saves time and ensures consistency in citing sources.
6. **Language Translation and Summarization**:
- AI can assist researchers who work with non-English literature by providing translations.
- Summarization tools can condense lengthy articles into concise summaries.
7. **24/7 Availability**:
- Unlike human colleagues or editors, AI tools are available anytime, day or night, to assist with writing tasks.
In summary, AI has revolutionized scientific writing by streamlining processes, improving accuracy, and freeing up researchers' time for more critical tasks. As AI continues to evolve, its impact on academic research will only grow, making it an indispensable tool for scientists and scholars alike.
1. **Literature Review and Paper Search**:
- **Semantic Scholar** and **elicit.org** are AI-powered tools that efficiently search and map relevant scientific literature. They can quickly identify relevant papers, mine key information from countless PDFs, and reduce research time.
- These tools allow researchers to navigate the vast sea of scientific research, uncover citations, and focus on academic writing.
2. **Content Generation**:
- AI tools can generate drafts, summaries, and even entire sections of research papers. Researchers can focus more on analysis and research while AI handles routine writing tasks.
- **Supersymmetry.ai** is an example of an AI tool that assists with content generation.
3. **Grammar and Style Checks**:
- AI-driven grammar and spelling checkers ensure that scientific writing adheres to proper language conventions.
- These tools provide suggestions for improving style, tone, and clarity.
4. **Plagiarism Detection**:
- AI algorithms can identify potential instances of plagiarism by comparing the text to existing scientific literature.
- Researchers can ensure the originality and integrity of their work.
5. **Reference Formatting**:
- AI tools can automatically format citations and references according to various citation styles (e.g., APA, MLA, Chicago).
- This saves time and ensures consistency in citing sources.
6. **Language Translation and Summarization**:
- AI can assist researchers who work with non-English literature by providing translations.
- Summarization tools can condense lengthy articles into concise summaries.
7. **24/7 Availability**:
- Unlike human colleagues or editors, AI tools are available anytime, day or night, to assist with writing tasks.
In summary, AI has revolutionized scientific writing by streamlining processes, improving accuracy, and freeing up researchers' time for more critical tasks. As AI continues to evolve, its impact on academic research will only grow, making it an indispensable tool for scientists and scholars alike.
Noma
Ai can be useful as long a human inputs information needed for it to generate rekevant data. Most of the time, we need to give the system datatnerate what we want. Human interaction will still be required all the time.
Gerald Zavorsky
I think AI should be able to help you rewrite paragraphs in manuscripts, acting like an editor and proofreader. You do the initial work, and then AI performs the grammar checks, wordsmithing, and editing.
AnFu
AI can be used as an "aid", it can facilitate browsing of relevant subjects, it can help scientists organize data, etc. However, at this point, scientists still need to use their critical thinking and know what they are talking about. Currently, It is necessary to disclose the use of AI when writing the paper, what type of AI, what is does, etc. I discovered that, there are already softwares and AI services that identify if a researcher-writer used AI or not... so, whatever way one decides to uses AI for at this point (identifying novel and research gaps, methodology approaches, data interpretations, statistics, etc), AI itself is evolving in the areas of surveillance, ethical misconduct and plagiarism detection, novelty detection, etc... So, it is not advisable to blindly use it... We still need to do the work, use critical thinking, and follow ethical guidelines.
Federico Benetti MD
It should be used as support to facilitate but for the moment you have to be careful when dealing with something that is not completely established or new contributions where dynamic analysis of the problem is important and where emotionality plays a role
Dr Mac
To my mind AI is just another computer program and a tool for scientists. Its possible for anyone to use a scientific tool inappropriately and when we first started using computer programs instead of typewriters there was a HUGE problem with post graduate students "cutting and pasting" from others' work. We solved it by writing programs that could identify plagiarism and in the end they have been more successful and faster than those needed for written and typewritten documents. I edit a lot of post graduate theses and publications and have noted with much amusement how AI provides fictitious references if given key words and asked to "search" . I am quite sure that AI can also be programmed to efficiently detect plagiarism in future. HOWEVER the current AI methodology needs programmers who are scientists with scientific integrity; to make sure that it is not used purposely or accidently to sabotage scientific honesty and rigidity. Its like real life: we have intelligent criminals, so we need intelligent policing!!!
Prof Dr Darakhshan Jabee Haleem
Ai can be used in identifying and collecting related data but can not link data with each other. It can not generate novel thinking or hypothesis which a human brain can do.
David E Odada
AI is a very useful tool for academic writing but its use should not replace the human brain. If used, ethics demand that a disclosure should be acknowledged. It is also useful for better academic grammar, and content cohesion, and coherence. It can be used as a tool to assist but not to generate academic writing content.
Dr N Pradeep Kumar
AI can be used chiefly for literature search data analysis and interpretation, in scientific writing.
Christian Sonne
AI should be used with caution. It's fine to collect information and help non-english speakers. BUT the outcome is with numerous reviewers so everyone should be extremely careful. The errors are not just factual but also fake references a.o.
Axel C Carlsson
Imagine, if you will, the marvelous world of scientific writing, where the diligent researcher embarks on a quest armed not just with a pen and paper, but also with the wondrous aid of Artificial Intelligence. Picture this AI companion diving into the vast ocean of existing literature, surfacing with pearls of research questions, and crafting hypotheses like a seasoned alchemist.
In this fantastical realm, statistical analyses and methodologies are not the stuff of nightmares but the enchanting dance of algorithms, choreographed by the AI maestro. Picture data interpretation as a grand spectacle, where algorithms don their detective hats, deciphering the intricate patterns within the data, and revealing insights that were once hidden in the shadows.
Now, let us venture into the land of English editing, where the diligent proofreader is not a solitary soul but a trusty AI sidekick, ensuring that the scientific manuscript glows with grammatical prowess and sparkles with consistent style. Content generation becomes a collaborative effort between human intellect and machine finesse, a duet creating harmonious abstracts and compelling conclusions.
But, dear reader, be warned! For in this realm, hazards lurk. The AI, like a mischievous sprite, may bring biases to the scientific table if not tamed. Its uniform tone may threaten to turn the prose into a bland symphony. And in its quest for efficiency, it might sacrifice the very creativity that makes scientific writing an art.
Yet, fear not! With a cautious eye and a guiding hand, we can navigate these perils. Let us embrace the integration of AI into scientific literature, for it is a potent ally in our pursuit of knowledge. As we tread this path, let us not forget the importance of human oversight, ensuring that ethics and quality remain the guardians of this brave new world.
Tashfeenchem
The AI may be used in research questions and hypothesis generation. It may be used in English editing to some extent but use of AI in content writing and excessive use of AI in writings will be a disaster. It will lead to dull minds and no one will be thinking to read or write or even extract information from literature. AI should be used as an assisting tool not leading to dependence.
AJS