What does it mean to use AI ethically? How do you know if an AI generator was trained on ethically sourced data? Can you train your own AI generator on ethically sourced data?
If you are planning to use AI generators for commercial use, it's important to know about the copyright risks. Many of the big names in generative AI used copyrighted works to train their generative AI models without giving credit or compensation to the creators, knowing that they would be sued by countless authors, artists, and publishers like the New York Times. Silicon Valley companies may be able to take that kind of risk, but that's a luxury most can't afford.
The good news is, there are options to use AI responsibly and protect your own work! Adobe Firefly was trained on free to use/reuse materials and is committed to developing AI in a way that protects human artists. The Glaze Project, created by researchers at the University of Chicago, created the Glaze app, which enables you to protect your work from being used by AI training models without your consent. They also created a similar program called Nightshade, which takes an offensive rather than a defensive approach by disrupting the way an AI model uses your work.
The Creativity Code: Art and Innovation in the Age of AI
by
The award-winning author of The Music of the Primes explores the future of creativity and how machine learning will disrupt, enrich, and transform our understanding of what it means to be human. Can a well-programmed machine do anything a human can--only better? Complex algorithms are choosing our music, picking our partners, and driving our investments. They can navigate more data than a doctor or lawyer and act with greater precision. For many years we've taken solace in the notion that they can't create. But now that algorithms can learn and adapt, does the future of creativity belong to machines, too? It is hard to imagine a better guide to the bewildering world of artificial intelligence than Marcus du Sautoy, a celebrated Oxford mathematician whose work on symmetry in the ninth dimension has taken him to the vertiginous edge of mathematical understanding. In The Creativity Code he considers what machine learning means for the future of creativity. The Pollockizer can produce drip paintings in the style of Jackson Pollock, Botnik spins off fanciful (if improbable) scenes inspired by J. K. Rowling, and the music-composing algorithm Emmy managed to fool a panel of Bach experts. But do these programs just mimic, or do they have what it takes to create? Du Sautoy argues that to answer this question, we need to understand how the algorithms that drive them work--and this brings him back to his own subject of mathematics, with its puzzles, constraints, and enticing possibilities. While most recent books on AI focus on the future of work, The Creativity Code moves us to the forefront of creative new technologies and offers a more positive and unexpected vision of our future cohabitation with machines. It challenges us to reconsider what it means to be human--and to crack the creativity code.
Robots and Art: Exploring an Unlikely Symbiosis
by
The first compendium on robotic art of its kind, this book explores the integration of robots into human society and our attitudes, fears and hopes in a world shared with autonomous machines. It raises questions about the benefits, risks and ethics of the transformative changes to society that are the consequence of robots taking on new roles alongside humans. It takes the reader on a journey into the world of the strange, the beautiful, the uncanny and the daring - and into the minds and works of some of the world's most prolific creators of robotic art. Offering an in-depth look at robotic art from the viewpoints of artists, engineers and scientists, it presents outstanding works of contemporary robotic art and brings together for the first time some of the most influential artists in this area in the last three decades. Starting from a historical review, this transdisciplinary work explores the nexus between robotic research and the arts and examines the diversity of robotic art, the encounter with robotic otherness, machine embodiment and human-robot interaction. Stories of difficulties, pitfalls and successes are recalled, characterising the multifaceted collaborations across the diverse disciplines required to create robotic art. Although the book is primarily targeted towards researchers, artists and students in robotics, computer science and the arts, its accessible style appeals to anyone intrigued by robots and the arts.
Created by Florence Sloan, Information Literacy Librarian, using Adobe Firefly, in April 2024.
