AI as Creative Collaborator: Voice, Memory and Authorship

Course Description

AI is transforming creative industries at an unprecedented pace. While most educational offerings treat AI primarily as a technical tool for productivity or workflow optimization, this course takes a humanities-led approach, focusing on authorship, cultural storytelling, ethical transparency, and professional articulation in AI-assisted creative practice.

Students explore AI not as a replacement for human creativity, but as a system to be understood, questioned, and deliberately engaged. The course equips writers, artists, musicians, educators, and cultural practitioners with the judgment, clarity, and confidence needed to maintain credibility and professional integrity in an AI-saturated world.

Through practical exercises and critical reflection, students learn to use AI to extend and enhance creative thinking - while preserving their unique voice, authorship, and ethical responsibility. The course emphasizes that AI may simulate style and pattern, but it cannot replace lived experience, cultural memory, embodied perspective, or human judgment.

Learning Outcomes

At the conclusion of the course, you should be able to

• Analyze how generative AI technologies are reshaping creative industries, including their impact on authorship, artistic identity, and cultural production.
• Apply selected generative AI tools within creative workflows, experimenting with text, image, audio, and research-based tools to support creative development.
• Evaluate ethical, legal, and cultural questions surrounding AI, including issues related to copyright, dataset bias, artistic consent, and intellectual property.
• Develop and present an original creative project that incorporates AI tools, demonstrating thoughtful integration of technology while maintaining a distinct creative voice.
• Assess the opportunities and limitations of generative AI in professional creative practice, identifying responsible strategies for incorporating AI into creative and cultural work.

Topics Include

• Generative AI's role in reshaping creative industries and historical parallels
• Creative experimentation with Gen AI via hands-on use of text, image, and audio tools
• Maintaining originality while collaborating with AI
• Dataset bias, artistic consent, and IP questions
• Integrating AI into writing, media, marketing, and storytelling
• Final AI-assisted project and reflection on responsible practice