Ad Empathy: A Design Fiction
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Association for Computing Machinery
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Industry demand for novel forms of personalization and audience targeting paired with research trends in affective computing and emotion detection puts us on a clear path toward emotion-sensitive technologies. Written as API documentation for an AI marketing solution that provides emotion-sensitive marketing decisions," this design fiction presents one possible future application of today's research. Offering a demonstrable grey area in technology ethics, Ad Empathy should help to ground debates around fair use of data, and the boundaries of ethical design."
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design fiction, neural networks, emotion, speculative fiction, target marketing, ethics, api, advertising, social computing, machine learning
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Number of citations to item: 14
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- Renee Shelby, Shalaleh Rismani, Kathryn Henne, AJung Moon, Negar Rostamzadeh, Paul Nicholas, N'Mah Yilla-Akbari, Jess Gallegos, Andrew Smart, Emilio Garcia, Gurleen Virk (2023): Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction, In: Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, doi:10.1145/3600211.3604673
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