This chapter examines the intersection of artificial intelligence (AI) and creative products, exploring the transformative role of AI in generating and enhancing creativity across domains such as art, music, literature, and science. It outlines the potential of AI tools like generative adversarial networks (GANs) and large language models (LLMs) to democratize creative expression by making sophisticated technologies accessible to diverse users. The chapter critically evaluates AI’s capabilities, including its strengths in ideational fluency and algorithmic problem-solving, while highlighting limitations such as the absence of emotional depth and originality. Case studies illustrate AI’s role in Human-AI collaboration, emphasizing its ability to augment human creativity through task automation and ideation support. The discussion also addresses ethical considerations, including authorship, intellectual property, and biases in AI-generated outputs. The chapter concludes by advocating for responsible AI integration to ensure a balanced partnership between human ingenuity and technological innovation.

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Creative Products and Artificial Intelligence

  • David H Cropley,
  • R. L. Marrone,
  • K. Medeiros,
  • K. van Broekhoven

摘要

This chapter examines the intersection of artificial intelligence (AI) and creative products, exploring the transformative role of AI in generating and enhancing creativity across domains such as art, music, literature, and science. It outlines the potential of AI tools like generative adversarial networks (GANs) and large language models (LLMs) to democratize creative expression by making sophisticated technologies accessible to diverse users. The chapter critically evaluates AI’s capabilities, including its strengths in ideational fluency and algorithmic problem-solving, while highlighting limitations such as the absence of emotional depth and originality. Case studies illustrate AI’s role in Human-AI collaboration, emphasizing its ability to augment human creativity through task automation and ideation support. The discussion also addresses ethical considerations, including authorship, intellectual property, and biases in AI-generated outputs. The chapter concludes by advocating for responsible AI integration to ensure a balanced partnership between human ingenuity and technological innovation.