[ACAD 310C]

This course explores the dynamic intersections of art, science, and technology, investigating how algorithms and artificial intelligence (AI) are reshaping creative practices. Through a combination of theoretical study, hands-on experimentation, and project-based learning, students will critically engage with the evolving role of technology in the art world. Drawing from historical and contemporary examples, including the work of Sol LeWitt, Stanley Kubrick, and AI-driven artists, we will examine how concepts such as conceptualism, machine learning, and generative art intersect with traditional and digital art-making practices.

The course will cover a range of topics including the history of art and technology, conceptual art, machine learning, language models, image generation, and time-based media. Students will explore AI tools such as Stable Diffusion, EBSynth, and ChatGPT, using them as both creative tools and critical lenses for artistic production.

In addition to technical skills, the course emphasizes critical thinking and discussion, encouraging students to reflect on the ethical, philosophical, and societal implications of AI in art. Students will participate in collaborative activities, class discussions, and studio visits, culminating in a final roundtable review of their AI-driven artwork.