Human-Computer Creativity -

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Résumé :

Part 1: Conceptual facets of generative AI and human-computer creativity.- Generative AI: From human-computer interaction to human-computer creativity.- Emerging paradigms in human-AI creativity: From visualisation to biofeedback in adaptive interfaces.- Creativity in the age of AI: Comparing human and machine performance using standardized tests.- The role of AI in transforming educational models: A critical analysis of opportunities and challenges.- Part 2: Generative AI and creativity in education.- Transforming education: The potential of generative AI tools for improving learning experience.- Enhancing digital pedagogy and creativity: Generative AI, video avatars, and personalized learning in online education.- Creative learning using generative AI: Empowering problem-solving and programming skills.- Generative AI applications in education: A low-code/no-code approach.- Generative AI and digital twins: Fostering creativity in learning environments.- Part 3: Generative AI and creativity in art.- Generative AI and the evolution of artistic creativity.- The Next-GenAI-rtists: A new generation of artists with generative tools.- Augmented creativity: Augmenting the archaeological imagination with generative AI tools.- Artist-computer collaboration and the treachery of AI images: This pipe does not exist.- Disrupting scholarly writing creatively using large language models.- Part 4: Generative AI and creativity in healthcare.- Human doctors vs AI models: Advice perceptions in Serbia, Kazakhstan, and Kyrgyzstan.- AI technology in psychological education and treatment: An overview of practical and creative applications.- Generative AI hallucinations in healthcare: A challenge for prompt engineering and creativity.- Dentistry in the digital age: Exploring human-computer creativity in dental education and practice.- Generative AI with quantum computing for visualizing proteins in mixed reality.- Concluding remarks.