Kartik, Aditya
Raj, Surya
Rattan, Akash
Sahu, Deepti
Article History
Received: 30 August 2025
Accepted: 15 November 2025
First Online: 4 December 2025
Declarations
:
: This study did not require ethical approval as it involved computational analysis of synthetically generated AI responses and did not involve major human participants, animal subjects, or collection of personal data.
: Not applicable.
: The authors declare no competing interests.
: The EthicsLens dataset was generated through systematic prompt engineering techniques across seven large language models (ChatGPT, Copilot, Grok, Claude, Gemini, LLaMA, Perplexity) for academic research purposes only. The content was created specifically to advance the study of AI ethics classification and has no intent to harm, offend, or hurt the sentiments of any individuals or communities. All generated content is synthetic and does not contain real personal information or identifiable data.
: EthicsLens dataset, along with all source code, experimental configurations, model training scripts, and evaluation protocols necessary to replicate and extend the reported results, is publicly available at [ ]. This supports transparency, facilitates independent verification, and encourages further research toward responsible AI ethics classification.