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1. Determinants for Identifying Music Generated by Artificial Intelligence:

   • Tone Composition: Music produced by artificial intelligence often has a specific pattern in the arrangement of tones, where it may use repetitions or a particular combination of melodies.
   • Complexity: Musical phrases can be less complex than those composed by humans, as they may lack some emotional elements or innovative musical evocations.
   • Variety: AI-generated music may lack diversity in style or expression, making it prone to rigidity in patterns.
   • Rhythmic Patterns: It can be characterized by repetitive or sometimes unnatural rhythms, especially when they do not reflect the human nature of time perception.

2. Examples of Expected Patterns:

   • Soundtrack Music: AI-generated film music often includes clear ascending and descending passages, with the use of harmonic tonal colors.
   • Electronic Music: Repetitive patterns or recurring samples may stand out in the compositions, such as repeated melodies or dominant rhythmic drive.

• Musical mixing: It is possible to notice recurring musical mixing structures without changes in insights or overall feeling.

3. Difference in Character:

   • Emotional feeling: Human music often carries emotions and experiences that are expressed, while AI-generated music may lack this emotional depth.
   • Spontaneity: Human musicians often create spontaneously, leading to surprising elements in rhythm or melody, whereas AI tends to be more predictable.
   • Unfamiliar compositions: AI may employ unfamiliar compositions that are often difficult for human composers to achieve.

4. Compositional style characteristics:

   • Repetition: Strong tendencies to use recurring musical material.
   • Lack of variations: AI projects may tend to stick to certain styles without experimenting with radical changes.
   • Statistical analysis: Systems tend to use models to analyze previous musical data to predict patterns rather than to innovate creatively.

5. Instruments and production quality:

• Sound of instruments: AI-generated music often uses virtual instruments, which may give indications of not being related to traditional instruments.
• Production quality: Often, recordings may lack depth of sound or give an overly artificial or processed feeling, which may indicate their artificial source.
• Lack of sonic interplay: The music may lack mutual dependence between instruments, making it feel less lively.

All of these factors indicate how music created by AI can be distinguished from that created by humans.