The Work of Art in the Age of Artificial Intelligence: What Artists Can Teach Us About the Ethics of Data Practice
The Work of Art in the Age of Artificial Intelligence: What Artists Can Teach Us About the Ethics of Data Practice
复制标题
人工智能时代的艺术作品：艺术家可以教我们什么关于数据实践的伦理
作者：
Luke Stark;K. Crawford
数据的使用问题，人工智能系统中出现的偏见模式，以及Facebook和Twitter等平台在选举中的作用，都使数据伦理问题得到了极大的缓解。然而，关于数据伦理的讨论焦点集中在计算机科学家、工程师和设计师身上，而对艺术家和文化领域其他人的数字实践的关注要少得多。艺术家们历来以意想不到且往往具有先见之明的方式部署新技术，使他们成为一个能够直接与使用数据和机器学习系统的人所面临的不断变化和细微差别的道德问题对话的社区。我们对33位从事数字数据工作的艺术家进行了采访，重点关注艺术家如何预测和共同挑战计算机科学家，研究人员和更广泛人群的数据实践和道德问题。我们发现艺术家们经常努力在他们的观众中产生一种陌生感和与当代数字技术的临界距离。这些艺术家使用大规模数据和人工智能系统的道德规范通常是在与社区其他从业者的持续对话中发展起来的，并且与艺术实践的更长历史有关。
Problematic use of data, patterns of bias emerging in AI systems, and the role of platforms like Facebook and Twitter during elections have thrown the issue of data ethics into sharp relief. Yet the focus of conversations about data ethics has centered on computer scientists, engineers, and designers, with far less attention paid to the digital practices of artists and others in the cultural sector. Artists have historically deployed new technologies in unexpected and often prescient ways, making them a community able to speak directly to the changing and nuanced ethical questions faced by those who use data and machine learning systems. We conducted interviews with thirty-three artists working with digital data, with a focus on how artists prefigure and commonly challenge data practices and ethical concerns of computer scientists, researchers, and the wider population. We found artists were frequently working to produce a sense of defamiliarization and critical distance from contemporary digital technologies in their audiences. The ethics of using large-scale data and AI systems for these artists were generally developed in ongoing conversations with other practitioners in their communities and in relation to a longer history of art practice.