- Inter-faculty Studies in Bioinformatics and Systems Biology
- Bachelor's degree, first cycle programme, Computer Science
- Bachelor's degree, first cycle programme, Mathematics
- Master's degree, second cycle programme, Bioinformatics and Systems Biology
- Master's degree, second cycle programme, Computer Science
- Master's degree, second cycle programme, Mathematics
Artificial Intelligence Art 1000-OOAIA
Artificial intelligence (AI) has developed significantly in the recent times with a variety of deep learning architectures. In this rapid prototyping team-focused course, we study and reimagine the implications of AI, bias, and algorithmic justice within creative use and design process. Especially, during the semester, students will create interdisciplinary arts and design projects with the central theme that memory, dreams, and nation-state collective narratives being defined through rapidly developing technologies like GPT-3, Stable Diffusion, and others.
The focus will be on the challenges presented by the artistic creation of using AI language and vision models to define individual and collective visual memory, or other types of data and models. We will survey and have hands-on experiences with many AI tools, as demanded by students interests and projects, such as speech to text, text to image, image to image, and image to video, and others. For examples, sentences and phrases are translated into images extensively sourced from various repositories of databanks. Programming, prompt engineering, and experimenting with models, software, datasets will be central. In the process, the course will look at the issues of algorithmic bias, and the aesthetics of AI with a strong focus on current societal issues.
Through a team based rapid prototyping, Dr. Neo Christopher Chung from the University of Warsaw and Dr. Ellen Pearlman, visiting Fulbright Scholar in Art, Media, and New Technologies from MIT/ThoughtWorks Arts, will conduct this special colab atthe University of Warsaw. Find out more about the Art-A-Hack (https://artahack.io) rapid prototyping approach.
How to apply:
This special colab is by application only. Email to n.chung@uw.edu.pl and ellen@volumetric.co.
Describe your project idea or your particular interest in this colab concept. We welcome applications with diverse backgrounds. No prior knowledge with AI art necessary. When we receive your applications, we will match you up with others in team settings.
Full name
Email address
Your studies, skills, and background
Your project ideas or interests of how to contribute.
Type of course
Mode
Learning outcomes
Understanding the creative AI tools and technologies
Learning how to work within interdiscplinary teams
Assessment criteria
Course participation, homework, final project
Bibliography
Art Hack Practices by Victoria Bradbury, Suzy O’ Hara
Collective Wisdom: Co-Creating Media within Communities, across Disciplines and with Algorithms by Katerina Cizek, William Uricchio
AI Art: Machine Visions and Warped Dreams by Joanna Zylinska
Defining AI Arts: Three Proposals by Lev Manovich
Additional information
Information on level of this course, year of study and semester when the course unit is delivered, types and amount of class hours - can be found in course structure diagrams of apropriate study programmes. This course is related to the following study programmes:
- Inter-faculty Studies in Bioinformatics and Systems Biology
- Bachelor's degree, first cycle programme, Computer Science
- Bachelor's degree, first cycle programme, Mathematics
- Master's degree, second cycle programme, Bioinformatics and Systems Biology
- Master's degree, second cycle programme, Computer Science
- Master's degree, second cycle programme, Mathematics
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: