AI False Positives Hurt Indie Musicians
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Ashley King, writing about the fallibility of “AI music” detectors:
Unfortunately, any track using machine drums, precise sequencers, synthetic soundscapes, and altered voices is ripe for AI music detectors to improperly flag. In fact, evidence shows that AI music detectors, including SubmitHub, Let’s Submit, TrackVerifier, and ACRCloud, have all classified tracks with such features as “possibly artificially generated.” So what happens when a statistical estimate becomes a public
Unfortunately, any track using machine drums, precise sequencers, synthetic soundscapes, and altered voices is ripe for AI music detectors to improperly flag. In fact, evidence shows that AI music detectors, including SubmitHub, Let’s Submit, TrackVerifier, and ACRCloud, have all classified tracks with such features as “possibly artificially generated.” So what happens when a statistical estimate becomes a public
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