Content Introduction
In this video, Dr. Nillesh Kumbar discusses a recent update from Turnitin relevant to students, researchers, and academics. He shares a case in which a student's original research paper displayed a surprising 26% AI score, despite being entirely written by the student without AI tools. Dr. Kumbar highlights the inaccuracies of AI detectors and mentions that scores under 30% are generally accepted by institutions. He then explains Turnitin's new update, which enhances its capability to detect AI-written texts, including those generated by AI bypassing tools. Demonstrating with examples, he explores various outputs—self-written, charged/generated, and humanized states to show how each scores within Turnitin. He reflects on the ethical implications of using these tools in academic writing and encourages viewers to subscribe for more insights and updates.Key Information
- Dr. Nillesh Kumbar discusses a recent update from Turnitin that every student, researcher, and academic should be aware of.
- A student shared a case where he wrote an entire research paper with no AI tools, but when checked, Turnitin showed a 26% AI score.
- The speaker explains that AI detectors often have a high degree of false positives, and generally, an AI score lower than 30% is acceptable for submissions in academia.
- Many journals now reject papers with a higher AI score, leading to more scrutiny on how AI-generated content is presented.
- The update from Turnitin includes enhanced capabilities to detect AI-generated text, even from tools designed to bypass plagiarism checks.
- The speaker emphasizes the importance of using AI tools ethically and suggests that it is appropriate to use humanizing tools to improve writing without compromising academic integrity.
- He warns that while using tools like stealth writers can yield good results, being overly reliant on AI can still produce text that is detectable as AI-generated.
- Finally, he encourages users to check the AI score of their documents before submission to maintain the quality and integrity of their work.
Timeline Analysis
Content Keywords
Turnitin Update
Dr. Nillesh Kumbar discusses a crucial update from Turnitin that every student, researcher, and academic professional should be aware of. The video highlights the challenges of AI detector scores and the implications for academic submissions.
AI Detector Scores
The video explains how AI detector scores can present inaccuracies, with an example showing a research paper written without AI tools still receiving a 26% AI score. This leads to discussions about false positives in AI detection.
Research Paper Submission
The narrative covers a case where a student's paper faced rejection due to a notable AI score, emphasizing the need for scholars to check their AI scores before submitting research for publication.
Humanizer Tools
Dr. Kumbar recommends using humanizer tools to reduce AI scores, illustrating how a student successfully lowered their score from 26% to 0% using a tool called 'Stealth Writer'.
Chat GPT
Chat GPT is discussed as a tool for generating text and rewriting it, with insights on how its outputs can affect AI detector scores and recommendations on usage.
Implications for Academics
The video outlines the ethical dilemmas and considerations researchers face when using AI in their work and the importance of adhering to academic integrity.
Related questions&answers
Who is Dr. Nillesh Kumbar?
What important update from Turnitin is discussed in the video?
How did a student's research paper get flagged?
What is the common acceptance rate for AI scores in academic submissions?
What does the video suggest for reducing AI scores?
What is the effectiveness of AI humanization tools according to the video?
What potential issue is raised regarding AI text generation?
What steps should be taken before submitting academic papers?
What does Dr. Nillesh Kumbar recommend at the end of the video?
How can viewers contact Dr. Nillesh Kumbar for further inquiries?
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