Asking chatgpt to explain what AI detectors and AI bypassers are: a note

Asking chatgpt to explain what AI detectors and AI bypassers are: a note

The following is an account of my discussion with Chatgpt about AI detectors and AI bypassers:

My question 1: "I am a part-time student currently conducting my dissertation research. I have come across the topic of AI detectors and AI bypassers. Could you brief me what these tools are all about?

The reply from Chatgpt: "Here's a brief overview of AI detectors and AI bypassers:

AI Detectors

AI detectors are tools designed to identify content generated by artificial intelligence. These detectors analyze text, images, or other media to assess the likelihood that they were created by an AI system. Common applications include:

Academic Integrity: Ensuring that students submit original work.

Content Moderation: Filtering out AI-generated content in online platforms.

Fraud Detection: Identifying fake reviews or misleading information.

AI detectors typically use machine learning algorithms trained on large datasets to differentiate between human and AI-generated content based on patterns, structure, and linguistic features.

AI Bypassers

AI bypassers, on the other hand, are tools or techniques that attempt to circumvent AI detection systems. These may include:

Content Manipulation: Altering the structure, wording, or style of AI-generated text to make it appear more human-like.

Prompt Engineering: Designing prompts in such a way that the AI generates content that is less likely to be flagged by detectors.

Hybrid Approaches: Combining human editing with AI generation to produce content that evades detection.

Bypassers raise ethical concerns, particularly in academic and professional settings, as they can undermine efforts to maintain integrity and authenticity.

Implications

The ongoing development of both detectors and bypassers highlights a cat-and-mouse game in the realm of AI ethics, academic integrity, and content authenticity. As AI technologies evolve, the effectiveness of detection and bypassing methods will likely continue to change, leading to new challenges and discussions in these fields."

My question 2 is: "I do not know how to interpret the assessment result of my dissertation report draft. The AI tool indicates that 10% of my report content is AI generated. I am bewildered with the AI tool's assessment result as my report content is all written by myself. Also if the AI tool report indicates that 10% of my report content is AI-generated (i.e. not generated by human beings), does it mean that my dissertation report is very likely to be rejected by the university as a kind of academic fraud?"

The reply from Chatgpt is: "It’s understandable to feel concerned about the AI tool's assessment result. Here’s how to interpret the situation:

Understanding the 10% Assessment

False Positives: AI detectors can sometimes produce false positives, indicating that human-written content resembles AI-generated text. This can happen due to common phrases, structures, or styles that both AI and humans might use.

Content Overlap: If your writing includes widely accepted information, jargon, or commonly used phrases, the tool might flag these as AI-like, even if they are original.

Tool Limitations: No AI detector is perfect. The algorithms used can vary in accuracy, and different tools may yield different results.

Implications for Your Dissertation

Academic Integrity: A 10% indication does not automatically equate to academic fraud. Most universities understand that some overlap can occur in writing styles, especially in technical or academic fields.

University Policies: It’s essential to check your university’s policies regarding AI detection. Many institutions are aware of the limitations of these tools and may not consider a low percentage (like 10%) as a definitive sign of academic dishonesty.

Next Steps

Review Your Draft: Go through the sections that were flagged, and consider rephrasing any content that might be problematic.

Consult Your Advisor: Discuss the results with your dissertation advisor. They can provide guidance on how to address the findings and clarify concerns about potential rejection.

Consider a Second Tool: If you're unsure about the accuracy of the assessment, you might run your draft through a different AI detection tool to compare results.

Documentation: Keep records of your writing process (drafts, notes) to demonstrate your original work if needed.

In summary, while the 10% result is concerning, it doesn’t automatically mean your dissertation will be rejected. Open communication with your university and careful review of your work can help mitigate any issues."

My question 3 is: "At this stage, there is no mandatory checking of students' dissertation projects with AI detectors. In this case, is it necessary for me, a student, to check my dissertation report with one of these AI detectors? If so, what reported AI-generated content percentage could reasonably be considered as the upper tolerance limit for not rejecting the dissertation report by the university?"

The reply from Chatgpt is: "Whether or not to check your dissertation with an AI detector depends on your comfort level and the specific context of your university. Here are some factors to consider:

Reasons to Check Your Dissertation

Peace of Mind: Running your report through an AI detector can help you identify potential issues early on, allowing you to address them proactively.

Self-Assessment: It can serve as a tool for evaluating your writing style and ensuring originality.

Future Preparedness: Even if your university doesn’t currently require AI checks, policies may change. Being proactive can help you avoid surprises later.

Tolerance Limits for AI-Generated Content

General Guidance: While there are no universally accepted thresholds, many experts suggest that a percentage under 5% is typically considered acceptable for human-generated content.

10% Consideration: A result of around 10% might still be defensible, especially if you can demonstrate that the flagged content is common terminology or academic phrasing.

Consulting Guidelines: If your university has specific guidelines or references regarding originality or content, those should be your primary resource.

Conclusion

Ultimately, if you choose to run your report through an AI detector, aim for a low percentage of flagged content. If you find results around 10% or higher, consider revising those sections. Consulting with your advisor can provide additional clarity on what’s acceptable within your specific academic environment."

A related video to study: AI detection bypass.