Milgard Professor Arthur Jago and coauthor Glenn Carroll, across a variety of creative and work domains, compared the credit people receive when they work alongside algorithms.
Professor Jago explains, "The proliferation of sophisticated, generative AI raises important questions about what work will look like in the future. As AI becomes more and more commonplace, norms around 'work credit' and 'authorship' are likely changing, which can have tremendous social and economic implications."
"If an algorithm assists you in writing a business plan, designing a logo, or creating art, do people still see that work as "yours"? Our new paper "Who Made This? Algorithms and Authorship Credit", investigates this question. We find that people assign producers more credit when those producers are assisted by AI, compared to when they receive exactly identical work assistance from another person. As sophisticated generative algorithms (like GPT-3, Dall-E, and Midjourney) become more commonplace in a variety of work and creative domains, attributions of authorship and credit are likely changing in important ways."
Arthur Jago is an assistant professor of management in the Milgard School of Business at the University of Washington, Tacoma. He completed his Ph.D. in Organizational Behavior at Stanford University's Graduate School of Business, after which he completed a postdoctoral fellowship at the University of Southern California. He primarily researches automation and the psychology of technology, with a particular emphasis on how new technologies are changing people's experiences in business and society.
Submitted by: Kathryn Adolphsen / February 6, 2023
As sophisticated generative algorithms (like GPT-3, Dall-E, and Midjourney) become more commonplace in a variety of work and creative domains, attributions of authorship and credit are likely changing in important ways.
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