Applications of Artificial Intelligence in Digital Cultural Heritage Analysis
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (20 March 2024) | Viewed by 1325
Special Issue Editors
Interests: computer science; software engineering; formal methods; history of computing; digital culture
Interests: digital health informatics; emerging technology and participatory science; environmental health; artificial intelligence and open knowledge systems; cultural informatics (digital heritage)
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The human–machine interaction of large-scale learning models generating art and text presents enormous challenges for the cultural heritage sector, not only for their thorny copyright issues but also how their provenance is expressed in their metadata. Rather than duplicating images from stock photos or artist portfolios, AI-image generators are "trained" on enormous data sets to create images that are unique; however, they are often produced without their owner’s permission or even acknowledgement. At the same time, GPT text generators have a penchant for hallucinations and suggest strange verbiage that can range from the simple truth to total fiction. AI is currently experiencing its tulip mania moment as the explosion of new models become publicly accessible, confronting human creativity head on with a pastiche of prior art, prior words, and more profoundly, prior creativity. Some even say that we are hurtling towards an AI disaster with the release of gen AI already freely floating around the public domain, permeating and impersonating all forms of culture. This Special Issue will showcase research in a sector that is racing to keep up with the rapid developments in the cultural heritage sector, some welcome while others less so. These reverberations are felt across the sector, impacting and revolutionizing cinema, music, photography, and art when deep fakes and uncanny valley pastiche replace our cultural artifacts and our sense of what it is that makes us unique human beings—our culture.
Prof. Jonathan Bowen
Dr. Ann Borda
Guest Editors
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Keywords
- large-scale learning models
- human–machine creativity
- artificial intelligence, machine learning and deep learning
- ontologies and semantics
- copyright
- deep fake
- pastiche
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