Making Art With Generative AI Tools

Making Art With Generative AI Tools

Release Date: April, 2024|Copyright: © 2024 |Pages: 300
DOI: 10.4018/979-8-3693-1950-5
ISBN13: 9798369319505|EISBN13: 9798369319512
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Description & Coverage
Description:

In the dynamic realm of generative artificial Intelligence (AI), the fusion of human creativity and machine intelligence has created a vibrant ecosystem of collaborative artmaking. However, this transformative process brings forth a myriad of concerns, ranging from ethical considerations and the need for originality to navigating the legal complexities surrounding intellectual property. As more and more online communities appear around the use of AI to aid in the creation of images, there arises a pressing need for a comprehensive guide that not only dissects the intricacies of artmaking with generative AI tools but also offers practical solutions to the evolving dilemmas faced by artists, researchers, and technologists.

Making Art With Generative AI Tools emerges as an exploration of the challenges posed by this intersection of human expression and artificial intelligence. Artists engaging with generative AI find themselves grappling with issues of authenticity, social toxicity, and the commercial viability of their creations. From avoiding stereotypical visuals to ensuring proper crediting, the realm of generative AI is rife with these complexities. Furthermore, the blurred lines between human and machine authorship necessitate a deeper exploration of how these innovative tools impact creativity, representation, and the very fabric of the art world.

Tailored for a diverse audience of researchers, artists, and instructional designers, the book navigates through the intricacies of large language models, provides case studies on the usage of generative AIs, and offers practical guidance on creating visuals for storytelling, teaching, and learning. With a keen focus on fostering human creativity, promoting ethical practices, and addressing the legal nuances of this evolving landscape, the book serves as an indispensable compass for those navigating the uncharted waters of artmaking with generative AI tools.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artmaking with Generative AIs
  • Authenticity in AI Art
  • Authorship Crediting
  • Collaborative Artmaking
  • Commercial Viability of AI Creations
  • Creativity and Generative AI
  • Ethical Considerations
  • Intellectual Property Rights
  • Legal Nuances of AI Art
  • Online Artistic Communities
  • Representations of Reality in AI-Generated Art
  • Social Toxicity
  • Transformative Process of Generative AI
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Editor/Author Biographies
Shalin Hai-Jew works as a grant writer at Hutchinson Community College (HutchCC) in Hutchinson, Kansas. Just prior, she worked as an instructional designer at Kansas State University (K-State), where she worked for 17.5 years. She has taught at the university and college levels for many years (including four years in the People’s Republic of China) and was tenured at Shoreline Community College but left tenure to pursue instructional design work. She has Bachelor’s degrees in English and psychology, a Master’s degree in Creative Writing from the University of Washington (Hugh Paradise Scholar), and an Ed.D in Educational Leadership with a focus on public administration from Seattle University (where she was a Morford Scholar). She tested into the University of Washington at 14. She reviews for several publishers and publications. She has worked on a number of instructional design projects, including public health, biosecurity, one health, mental health, PTSD, grain science, turfgrass management, social justice, and others. She has authored and edited a number of books. Hai-Jew was born in Huntsville, Alabama, in the U.S. Currently, she is working on multiple projects.
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