CIECT has recently used CopyLeaks, a leading plagiarism detection tool, to positively identify transcribed text sourced from the Google Docs online ‘Voice Typing’ tool. CopyLeaks utilises advanced Artificial Intelligence (AI) and machine learning algorithms to detect and flag text that has been generated by various document formats: Ms Word, Google Docs, etc.

 

Example 4: CopyLeaks can detect text similarities in the transcribed text (screenshot)

During our trial period, CIECT used the Google Docs ‘Voice Typing’ tool to transcribe audio to text. Once the text has been transcribed and uploaded to CopyLeaks. CopyLeaks scans the text and produces a detailed report that identifies any matches found online. CopyLeaks uses advanced algorithms to compare the text with an extensive database of online content, including websites, articles, books, and more. The report also highlighted the percentage of similarity between the text and the sources detected as illustrated below.

Faculties must engage in discussion: Detect and embrace (balance?) – of ChatGPT

Example: Requested ChatGPT to record an audio file with regards to global warming

ChatGPT provided a detailed script, including the history and impact of global warming. The system cannot create an audio-file. However it gives you the script and information on what devices to use for the creation of the audio file (podcast).

 

As the Internet of Things (IoT) continues to grow, and more content becomes available online, tools like CopyLeaks will become even more essential to maintain the integrity of written content. Furthermore Faculties should engage in discussions regarding these innovative AI tools. How do you strike a balance? It is important to detect the originality of the work. However, are you going to dismiss all work generated by AI (such a ChatGPT)? Will you provide guidelines (for your specific discipline), in order for the students to use these specific AI tools, while maintaining academic honesty?


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