Unravelling the Aesthetics and Emotion: Exploring the Artistic Value of AI-Generated Artworks
Abstract
The debut of AI art, a new cultural realm, has given rise to discussions about its artistry and aesthetic value. On the other hand, since the new path of the art-creational movement does not allow applying traditional components of creativity to evaluate the creative and aesthetic value, art coming from AI creates new difficulties concerning its evaluation. What are the pillars of the art genre – composition, technique, visual phenomena – no longer look the same? New tools are required to give a scientifically sound assessment of the esprit and visual components of AI art. How do we assess emotions driven by works from AI? They may show the extent of faithfulness to the traditional genre due to the same or diverse components from conventional art. This paper tries to compose and define the base on which an assessment of emotions driven by such works is to be done. When the artist agrees, AI uses machine learning algorithms, and the experience is always learning.
Keywords: AI-generated Artworks, Artistic Value, Aesthetic Value, Evaluation Criteria, Emotional Impact
DOI: 10.54941/ahfe1005485
Cite this paper
More from this volume
- Autonomy at the Crossroads: Knowledge Workers Teamed with Intelligent Machines: A Qualitative Systematic Review
- Ergonomics and Collaborative Robotics: The synergy to prevent workload in industrial assembly tasks
- How many Robots is too many? Findings about Single-Human Multiple-Robot Systems
- Robotisation of work - what are the experiences among employees in automotive industry company in the Czech republic
- Empirical analysis of social implications during the development of automated driving
- The Best Fit Framework for Human Computer Interaction Research ‒ Is it possible?
- A Human Centric Design Approach for Future Human-AI Teams in Aviation
- Analysis and Interview Survey to Detect Subjective Fatigue and Accident risk of Truck Drivers
- Revolutionizing Automotive Industry for Servicing An Autonomous Adaptive Lift System
- The Rolling Robot and the Human Brain: Handover of the Driving Task in Automated Vehicles
- Age-based Differences in Pedestrians’ Feeling of Trust and Safety when Crossing in Front of a Real Communicating Self-driving Car During Daytime or Nighttime
- Exploring the Risks of Password Reuse across Websites of Different Importance


AHFE Open Access