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Creative Code: Integrating AI Art in Creative Art Education

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Teaching & Inclusive Practices
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Case Study
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Adam Dwight

Learning Innovator, City of Wolverhampton College

Dr. Adam Dwight's session for Level 3 Creative Art students at Wolverhampton College explored AI art's potential and pitfalls. Focusing on AI-driven image generation, students interacted with tools like, producing and sharing their works. Rated 4.5/5, the session was a practical and inspirational exploration of AI's role in art.

AIart, also known as computational creativity, refers to the use of artificial intelligence in the creation of visual art, music, and literature.

It involves the use of algorithms, machine learning, and other computational tools to generate original artistic content.

But is it original?

The session, delivered on January 16th, 2024, introduced students to AI art. It covered AI's artistic applications, ethical and legal considerations, and controversies surrounding authenticity in AI-generated art.

Practical exercises included using AI platforms like Co-Pilot and Leonardo. AI for image creation, encouraging students to integrate AI into their art processes.

The session culminated with students creating AI-generated images and sharing them on a digital platform for collective review and discussion.

The scenario in this case study is genuine and based upon real events and data, however its narration has been crafted by AI to uphold a standardised and clear format for readers.

Key Learning

AI can be a powerful tool for generating creative ideas and visual aids.

Students can effectively use AI for inspiration and developing their artistic concepts.

Integrating AI into the art creation process can enhance traditional art practices.

Critical understanding of AI’s ethical and legal aspects is essential for art students.


Over-reliance on AI may hamper the development of original artistic skills.

Ethical and authenticity concerns in AI-generated art need careful consideration.

Potential undervaluing of human creativity and traditional artistic methods.

Legal complexities in AI art can pose challenges for emerging artists.