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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2025

Detecting AI-Generated Text Using Fine-Tuned Transformers: A Study on Academic Integrity

The record

Type
Publication
Date
1 January 2025
Level
National
Journal
Communications in Computer and Information Science
Volume
2336 CCIS
Pages
240-266
Published
1 January 2025
DOI
10.1007/978-3-031-83796-8_16
Scopus ID
105000825557
ISSN
18650929
Authors
6
Open access
No
Citations
4
International co-authorship
No
Co-author countries
IN

Classification

Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.

UN Sustainable Development Goals

  1. 4.4 Substantially increase the number of youth and adults with relevant skills for employment, decent jobs and entrepreneurship

    TargetPrimaryHigh confidenceJudged

    BERT-based transformer model for detecting AI-generated academic text achieves 98.89 percent accuracy, addressing digital skills and technology literacy for educators.

    High confidence
    The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
    Judged
    Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

  2. 9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending

    TargetSecondaryModerate confidenceJudged

    Deep learning and NLP methodology research contributes to artificial intelligence research capacity.

    Moderate confidence
    The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-3.2 Digital technology and artificial intelligence

    Sub-themePrimaryHigh confidenceJudged

    AI detection system development demonstrates advancement in digital technology and artificial intelligence capabilities.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “Detecting AI-Generated Text Using Fine-Tuned Transformers: A Study on Academic Integrity”. Kortex.

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