Digital Rights Archive Newsletter - Tenth edition
Will We All Become Prompt Engineers?
Will We All Become Prompt Engineers?
If you have spent some time working with AI you may have had an experience like Peter J. Cobb, who wondered if ChatGPT and Midjourney could assist archaeologists, only to find that it seems to have potentially limited use cases for their own purposes. So, then how are people calling for this to change everything? Automation strikes again with invention, advancement, and rapid proliferation of Generative AI (GAI). We have experienced these changes in the past with the first massive automation push 100 years ago prompting incredible invention, backlash, thinking, activism, and destruction. The first major automation cycle had us questioning what we will do, while the latest incarnation has us asking who we are. AI may replace some forms of human labour, the thing of Terminator nightmares. In this issue, AbuMusab argues that current concerns about job loss ignore past injustices regarding the replacement of blue collar jobs inferring that we place a higher value on intellectual skill. If this is the case, do artists and creatives have more to lose?
Past waves of automation have focused on specific jobs or classes of jobs; this round it seems as though nothing is safe. Even worse, education is potentially under threat. The authors in this issue argue that the rampant anthropomorphizing of AI is both misguided and harmful. It is powerful software, but we continue to lend it more power, and to those who would champion it further. It should be clear that "image generators are not artists".
In writing on the vicissitudes of copyright law in relation to AI, Sarp Kerem Yavuz turns to artist Jon Rafman who states that denying copyright to all works generated by AI will be seen as old-fashioned, that AI is a tool and artists are meant to create with contemporary tools and have ownership over their creations. His determination that the backlash against AI generated art points to the fetishization of labour-intensive artworks challenges those of us who fear what AI is bringing to the creative industries. Nevertheless, Jason Parham suggests that “Even at its most artificially generated, art can perhaps still be a portal, colonizing our fantasies and serving as a bridge between today and a better, stranger tomorrow.” Over the past 100 years the Art world has moved away from physical items to performance and digital art forms, and more without corporeal form. We have had to invent technology in order to prevent a core tenet of computers, which is that copying is effectively unlimited and lossless.
During an undergraduate thesis course last year, as ChatGPT was emerging, Adam asked students if they wanted to learn to use ChatGPT to help them write their thesis document. The next week they reconvened and emphatically declined, stating that it helped them get their work done quickly but it couldn’t produce writing that sounded like them. The preservation of the identifiers of their identity and humanity were more important than the expediency. At the end of the course, the class revisited the issue and the students were happy to have worked through the process.
Deepfakes and misinformation provide a real threat, but also a chance to reevaluate fundamental assumptions about how we determine truth and establish trust. When we use an AI tool and it produces something thoughtful, is that thought in the reader or was it thought by the machine? Or was it that the machine made a complex manipulation of a massive set of symbols from an input in related symbolic form. Could beauty lie in the expression of the prompter to elicit something relevant, or perhaps new, from the machine of riches. Will we all become prompt engineers? Perhaps we will finally have the ability to enhance photos, as promised by Blade Runner and many sci-fi romps thereafter, but hopefully that is the only resemblance
- Adam Tindale and Caroline Seck Langill, OCAD University
Generative AI and Human Labor: Who Is Replaceable?
Syed AbuMusab | AI & SOCIETYThe author wonders whether generative AI can replace human labour. The answer increasingly seems to be that technology can replace 'all' work. However, the hope is that the future of human labour lies at least halfway through this scenario.
Large Language Models and Generative AI, Oh My! Archaeology in the Time of ChatGPT, Midjourney, and Beyond
Peter J. Cobb | Advances in Archaeological PracticeA review on the state of generative AI and the current challenges with using it meaningfully, and its potential for archaeology.
What the Latest Us Court Ruling Means for Ai-Generated Art’s Copyright Status
Sarp Kerem Yavuz | The Art NewspapeA judge said the absence of a “guiding human hand” disqualified the AI-generated image from copyright protection, but other generative art may still qualify.
AI and Creative Labor
Ben Davis | Haymarket BooksThe explosion of generative artificial intelligence in the last year has dizzying implications for the future of labor, culture, and the economy. Already it is being used as a tool to automate and further alienate aspects of creative production and has played a part in touching off at least one major labor action, the WGA Writers Strike. This talk will be a starting point in thinking about the theoretical and practical issues for socialists raised by AI.
Language, Culture, and AI
Kyunghyun Cho | Technically OptimisticTalking about how artificial intelligence research in academia so often resembles corporate product development, about how AI models affect marginalized languages, on whether generative AI could produce something of cultural significance, and about the connection between AI ‘hallucinations’ and creativity.
What an AI-Generated Medieval Village Means for the Future of Art
Jason Parham | WiredSpiral Town, which has jumped from Reddit to X to everywhere, is helping to usher in a hopeful but increasingly dangerous era of artificiality.
The Rise of Generative AI in the Arts: Democracy at Risk
Valentine Goddard | AI, Art, Justice & PolicyThe aim of this article is to highlight the importance of taking action in the face of the impact of generative AI on the arts and culture sectors, and more broadly, on democracy. Secondly, the article puts forward recommendations for a better response. The article is a response to the two consultations* on AI governance and, more specifically, on the regulation of generative AI.
AI Art and its Impact on Artists
Harry H. Jiang, Lauren Brown et al. | AIES '23: Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and SocietyIn order to avoid negative effects of image generators and benefit from their potential, this article provides recommendations such as regulations forcing organisations to disclose their training data and tools to help artists avoid using their content as training data without their consent.
Can AI Help Everyone Enjoy Culture as a Global Public Good?
Brigitte Vézina, Yacine Jernite, Stacey Lantagne, Nicholas Garcia | Creative CommonsUNESCO declared culture a global public good, paving the way for culture to be recognized as a sustainable development goal in and of itself. The advent of AI technologies hold many promises to reduce the barriers for enjoyment of culture by people all over the world, especially for marginalized groups such as women, youth and Indigenous peoples. At the same time, AI may pose risks in perpetuating cultural power imbalances. This panel will strive to determine how AI can concretely support culture as a global public good.