Research Repository
A collection of The most impactful references and resources for this project.
This cover image was generated using ChatGPT Plus and only serves decorative purposes for this thesis.
Books
Art in the Age of Machine Learning
This book acts as an in-depth look at how the different AI tools have been developed and progressed over the years from the 1940s to contemporary times. Each chapter focuses on a significant phase of the development of these tools and links it back to new media art, while showcasing the pros and cons of each iteration of progression.
Audry, Sofian. Art in the Age of Machine Learning. The MIT Press, 2021.
Economies of Design
This book is a collection of essays by various experts on capitalist theories in relation to Big Data. Each essay explores topics such as Marx in the age of big data, and the exploitation of labour and the workforce in the contemporary era in relation to rapidly evolving technologies.
Julier, Guy. Economies of Design. Sage Publications, 2017.
Ethics of Artificial Intelligence
Edited by Liao, this book is a collection of essays written by various ethics experts, ranging from the age old trolley problem in relation to self-driving cars, to speculating civil rights for artificial intelligence. This book acts as a handy means of understanding foundational ethics issues to be further explored in relation to generative tools.
Liao, S. Matthew. Ethics of Artificial Intelligence. Oxford University Press, 2020.
The Work of Art in the Age of Mechanical Reproduction
Despite being written in the early 1900s, this essay accurately discusses and predicts how the creative industry evolves with technology, and how the requirements of the creative from each era of technology will differ.
Benjamin, Walter, 'The Work of Art in the Age of Mechanical Reproduction'. Illuminations: Essays and Reflections, Schoken Books, 1969., pp. 217-252.
Working with AI
Presenting over 25 case studies, it gives the reader a quick glimpse into how artificial intelligence will benefit businesses and workers. That said, it does present itself to have a favourable view of artificial intelligence which may skew its findings.
Davenport, Thomas H., and Steven M. Miller. Working with Ai: Real Stories of HumanMachine Collaboration. The MIT Press, 2022.
articles
Biases in Generative Art -- A Causal Look from the Lens of Art History
Leveraging causal models, the essay highlights how current generative artificial intelligence training methods fall short in modeling the process of art creation and thus contribute to various types of biases.
Srinivasan, Ramya., and Kanji Uchino. “Biases in Generative Art -- A Causal Look from the Lens of Art History”. Fujitsu Laboratories of America, Feb. 2021, pp. 1–11, https://doi.org/10.48550/arXiv.2010.13266
Conservative AI and Social Inequality: Conceptualizing Alternatives to Bias through Social Theory.
Zajko explores some of the concerns relating to data biases that plague existing artificial intelligence tools.
Julier, Guy. Economies of Design. Sage Publications, 2017.
Does human–AI collaboration lead to more creative art? Aesthetic evaluation of human-made and AI-generated haiku poetry.
The study explores the effectiveness of text-based generative AI in the field of poetry through various experimentations.
Liao, S. Matthew. Ethics of Artificial Intelligence. Oxford University Press, 2020.
From Immigrants to Robots: The Changing Locus of Substitutes for Workers
Borjas and Freeman discuss the mass adoption of robotics and automation as a substitute for workers with heavy reference to capitalist and utilitarian philosophies.
Benjamin, Walter, 'The Work of Art in the Age of Mechanical Reproduction'. Illuminations: Essays and Reflections, Schoken Books, 1969., pp. 217-252.
The Workers at the Frontlines of the AI Revolution
An investigation into various creative freelancers around the globe to understand how they have been adapting to the rise of generative artificial intelligence since its initial exponential rise in 2022.
Davenport, Thomas H., and Steven M. Miller. Working with Ai: Real Stories of HumanMachine Collaboration. The MIT Press, 2022.
References
Learning to See
A project that uses state-of-the-art machine learning algorithms to reflect on ourselves and how we make sense of the world. The picture we see in our conscious mind is not a mirror image of the outside world, but is a reconstruction based on our expectations and prior beliefs. An artificial neural network looks out onto the world, and tries to make sense of what it is seeing.
Atken, Memo. “Learning to See”, Art Installation, 2017.
ReRites
Between May 2017-18, Jhave produced one book of poetry per month, utilizing neural networks trained on a contemporary poetry corpus to generate source texts which were then edited into the ReRites poems.
Johnston, David Jhave. 'ReRites', Art Installation and Publication, 2018-2019.
ReCollection
ReCollection is an interactive AI art installation that assembles synthetic collective memories based on language input, blurring the boundaries between remembrance and imagination through AI system design and interactive experimental visualisation.
Zhang, Weidi., and Roger Luo, 'ReCollection', Art Installation, SIGGRAPH 2023, Aug. 2023.
Drawing Operations
An initial exploration into the machine learning the drawing style of the artists hand. The robotic arm’s behaviour is generated from neural nets trained on the artist’s drawing gestures, acting is something like a robotic augmentation.
Chung, Sougwen. “Drawing Operations”, Art Installation, 2017.
How will we work
The exhibition explores how educational institutions and the cultural sector can use their creativity and influence to develop forward-looking alternatives to the emerging status quo. In this area of study and industry, new thinking, research and ideas are emerging almost every day.
Jane, Anab, et al., ‘How will we work’, SuperFlux, Art Installation, Vienna Biennale 2017, 2017., link.
Other Research
This project was backed by three driving forms of research into generative AI. Literature reviews of current gen AI research; Qualitative interviews with local creative industry veterans; And technical experimentation with various generative AIs.
Thesis
Analysis and discussion of reviewed literature and findingsfrom qualitative fieldwork.
View Thesis
Catalogue of Making
A visual collection of all technical experimentation conducted for this project.
View Catalogue