Ethics of generative AI and manipulation: a design-oriented research agenda
This work highlights a critical ethical gap in AI research, focusing on manipulation risks that could impact society broadly, but it is incremental as it builds on existing ethical discussions without introducing new methods or data.
The paper addresses the insufficient investigation of manipulation risks posed by generative AI, proposing a research agenda with conceptual, empirical, and design inquiries to understand and mitigate these risks for responsible development.
Generative AI enables automated, effective manipulation at scale. Despite the growing general ethical discussion around generative AI, the specific manipulation risks remain inadequately investigated. This article outlines essential inquiries encompassing conceptual, empirical, and design dimensions of manipulation, pivotal for comprehending and curbing manipulation risks. By highlighting these questions, the article underscores the necessity of an appropriate conceptualisation of manipulation to ensure the responsible development of Generative AI technologies.