AI Detection Report: 2024 International Songwriting Competition: Evidence of undisclosed and undetected AI-generated songs receiving awards despite prohibition, undermining fair competition for songwriters

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Authors: Joseph Stanek
Cited by: 0

Abstract

This report presents a forensic audit of award-winning entries in the 2024 International Songwriting Competition (ISC), documenting evidence of undisclosed and undetected AI-generated music receiving official recognition despite explicit prohibitions. The investigation integrates audio forensics, open-source intelligence (OSINT), metadata analysis, and publicly documented admissions by credited entrants to evaluate authorship credibility and workflow plausibility. Findings identify structural, stylistic, and behavioral patterns consistent with contemporary text-to-music generative AI systems rather than human songwriting processes. The revised print edition consolidates technical analyses, evidentiary figures, and procedural context to support independent verification, institutional review, and scholarly citation. This work contributes to ongoing discussions on AI detection, authorship integrity, and policy enforcement in creative competitions.

Fields of Study & Subjects

Music and Audio Processing Digital Media Forensic Detection Authorship Attribution and Profiling

Publication details

Publication date
3 February 2026
Language
EN