Portland Community College | Portland, Oregon

Upon completion of the course students should be able to:

• Define artificial intelligence (AI) and machine learning (ML) and key vocabularies of AI/ML to understand and engage in public and academic discourse.
• Recount the technological and social histories of AI/ML, including the technological lineages and surrounding narratives.
• Define computational creativity (artificial creativity or metacreation) and illustrate its historical and contemporary roles with real-world examples in multiple arts (sonic arts, visual arts, literary arts) and from artists of diverse cultural and national identities.
• Demonstrate competence with historical and contemporary AI and ML creative applications, technologies, softwares and/or toolchains.

• Readings
• Lecture
• Videos
• Large and small group dialogue
• Collaborative activities
• Case studies
• Creative content creation using consumer AI and ML applications

• Writing (short entries and essays). Note: this is not a writing course; students are encouraged to write frequently--as part of department-wide effort to embed communications practice throughout the curriculum--but are not evaluated for competency with Standard American English or academic conventions.
• Creative projects. Students experiment with consumer AI/ML applications, generating a variety of creative content, reflecting on their experiences, and imagining new options (for instance, features they would have liked to see as part of an application).
• Assignments and activities.
• Exams, tests, or quizzes may be used to measure student learning but are not graded.

1. AI/ML definitions and vocabulary.
2. Technological history of AI/ML.
3. Narratives of AI/ML--common threads and cultural contexts.
4. Computational creativity: case studies
5. Historical and contemporary AI/ML applications, softwares, and/or toolchains