Expressive AI
A Hybrid Art and Science Practice
Bibliographic Data
| ID | 3455284 |
|---|---|
| Authors | Michael Mateas (0000-0002-1897-6293, Carnegie Mellon University, corresponding author) |
| Year | 2001 |
| Volume | 34 |
| Issue | 2 |
| Pages | 147-153 |
| Publication date | 2001-04-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Leonardo (JOURNAL) |
| Journal identifiers | ISSN: 0024-094X • E-ISSN: 1530-9282 |
| Publisher | MIT Press - Journals (PUBLISHER) |
| DOI | 10.1162/002409401750184717 |
| OpenAlex | W2164654266 |
| Language | EN |
| Citations received | 7 |
| References cited | 5 |
Expressive AI is a new interdiscipline of AI-based cultural production, combining art practice and AI-research practice. This article explores expressive AI by comparing it with other AI discourses, describing how it borrows notions of interpretation and authorship from both art and AI research practice and providing preliminary desiderata for the practice
Cognitive science · Epistemology · Interpretation (philosophy) · Programming language · Aesthetic Perception and Analysis · Artificial Intelligence · Artificial Intelligence in Games · Computer Science · Generative Adversarial Networks and Image Synthesis · Philosophy · Psychology
| Unique citing works | 7 |
|---|---|
| Citations per year | 0,54 |
| Citation span | 2013 - 2025 (13) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 7 |