Directing the Algorithm
ISBN:
978-3-689-00596-2
Verlag:
Tectum Wissenschaftsverlag
Land des Verlags:
Deutschland
Erscheinungsdatum:
27.03.2026
Reihe:
Young Academics: Rechtswissenschaft
Format:
Softcover
Seitenanzahl:
100
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This thesis examines the conditions under which human users can be recognised as the authors of images generated by generative artificial intelligence (GAI). It contends that the unpredictable and opaque nature of GAI does not automatically preclude user authorship in prompt-based image generation. Drawing an analogy with improvisational cinema, it contends that just as directors guide unpredictable performances through creative decisions, GAI users can shape outputs through iterative prompts. Based on a comparative analysis of EU, US and Turkish copyright law, the thesis proposes a process-based originality assessment and introduces the concept of 'Directed Originality'.
Schlagwörter
Artificial Intelligence
Urheberrecht
KI
Copyright Law
Generative Artificial Intelligence
Originalität
Unpredictability
Originality
Human Authorship
Generative Artificial Intelligence (GAI)
Unvorhersehbarkeit
Menschliche Urheberschaft
Generative Künstliche Intelligenz (GAI)
US Copyright
EU Copyright
Directed Originality Test
Prompt-Based Image Generation
Improvisational Director Analogy
Process-Based Creativity
Turkish Copyright Law
GAI
