AI for Creativity and Design
Generative AI has introduced a new paradigm of AI: the co-creator. Top professionals and companies use AI to improve productivity and creativity every day, and in this course, you’ll learn the iterative prompting, search, and functional evaluation metrics powering these uses. By the end of this course, you’ll integrate AI tools into a variety of creative skill sets, and your own projects, building new avenues for creativity in your career.
Course Topics
Exploring AI in Art and Design
Learn about the intersection of AI with art and design, discovering how algorithms can not only mimic but also enhance human creativity. This module introduces the concept of AI as a tool and collaborator in the creative process, setting the stage for a deeper exploration of AI's role in artistic endeavors.
AI and the Written Word
Learn how AI technologies are being used to create new forms of literature, explore alternative scenarios, enhance everyday writing, and avoid writer’s block. Explore the implications for authors and the creative writing process.
Creative Design with AI
This part of the course focuses on how AI can assist in graphic design, architecture, and interactive media, pushing the boundaries of traditional design methodologies.
Mastering Iterative Prompting in Creative AI
Learn how to effectively communicate with AI systems to initiate, generate, refine, and iterate on creative outputs, enhancing the creative process.
Evaluating Creative AI Outputs
Learn the principles of automated and human-guided evaluation for creative AI outputs. This part of the course discusses the balance between quantitative metrics and subjective judgment in assessing the quality and impact of AI-generated art and design.
Considering Privacy and Accountability
Learn how to balance innovation with the need to protect individuals' privacy and ensure AI developers and deployers are accountable for their systems.
Evaluating Authorship and Copyright
Learn about authorship and copywriting. How should credit be assigned for AI-based work, including art, writing, decision-making, and technical inventions? Can original copyrighted material be used to train AI? Are AI creations infringing on copyrights and patents? Can they be copyrighted or patented?
200
Disclosure
This course is delivered online through an institution of the Lower Cost Models Consortium (LCMC) that is different than your degree-granting institution that awards the academic credit for the course.
