Business (mis)Use Cases of Generative AI
Stephanie Houde, Vera Liao, Jacquelyn Martino, Michael Muller, David, Piorkowski, John Richards, Justin Weisz, Yunfeng Zhang

TL;DR
This paper explores the potential and risks of generative AI in business, highlighting its current infancy, possible malicious uses, and the need for awareness and mitigation strategies.
Contribution
It introduces a novel approach using co-creation design fictions with AI engineers to assess business misuse scenarios of generative AI.
Findings
Generative AI has significant potential for malicious misuse in business.
Current understanding of large-scale misuse is limited and needs further exploration.
Design fiction methods can effectively explore future misuse scenarios.
Abstract
Generative AI is a class of machine learning technology that learns to generate new data from training data. While deep fakes and media-and art-related generative AI breakthroughs have recently caught people's attention and imagination, the overall area is in its infancy for business use. Further, little is known about generative AI's potential for malicious misuse at large scale. Using co-creation design fictions with AI engineers, we explore the plausibility and severity of business misuse cases.
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Taxonomy
TopicsEthics and Social Impacts of AI · Innovative Human-Technology Interaction · Data Visualization and Analytics
