Nils DurnerAI Attribution in Art offers perspectives for tech workers pondering #GenAI disclosure: from subtle references to detailed disclosures, artists are using various approaches to acknowledging AI contributions in their work.
https://www.linkedin.com/pulse/ai-attribution-art-perspectives-software-engineers-nils-durner-mx68f
My article examines:
๐ The "AI Assisted" label used by curator Prof. Janet Bellotto
๐ Segregated disclosure at the Singapore Art Museum
๐ Integrated disclosure by artist Daito Manabe
๐ Comprehensive disclosure practices by:
๐ the Italian art studio fuse* and
๐จโ๐จ artist and writer Prof. Lev Manovich
As AI becomes increasingly interwoven with our development lifecycle, tech stacks and products, the #ModernArt community's thoughtful exploration of authorship, originality, and ethical AI use may offer valuable insights for our own practices. While it's unlikely that there's a one-size-fits-all solution, these examples provide food-for-thought as we consider the nuances of transparent and responsible AI attribution in our own fast-paced industry.
Whether you're a software engineer or in any other role shaping tech solutions, I invite you to explore these perspectives and consider how they might inform our work.
#GenerativeAI #SoftwareEngineering #SolutionConsulting # DigitalArt
AI Attribution in Art: Perspectives for Software Engineers
Introduction Software engineers often "stand on the shoulders of giants", as the saying goes: any reasonably complex component, arguably, comprises third party libraries, artwork, and decades of prior work. Attribution, and giving credit, to third parties who have contributed to such a "larger work"