Category Archives: Articles, Chapters, Proceedings
In 2016, Microsoft launched Tay, an experimental artificial intelligence chat bot. Learning from interactions with Twitter users, Tay was shut down after one day because of its obscene and inflammatory tweets. This article uses the case of Tay to re-examine theories of agency. How did users view the personality and actions of an artificial intelligence chat bot when interacting with Tay on Twitter? Using phenomenological research methods and pragmatic approaches to agency, we look at what people said about Tay to study how they imagine and interact with emerging technologies and to show the limitations of our current theories of agency for describing communication in these settings. We show how different qualities of agency, different expectations for technologies, and different capacities for affordance emerge in the interactions between people and artificial intelligence. We argue that a perspective of “symbiotic agency”— informed by the imagined affordances of emerging technology—is required to really understand the collapse of Tay.
Neff, Gina, and Peter Nagy. “Talking to Bots: Symbiotic Agency and the Case of Tay.” Edited by Samuel Woolley and Philip N. Howard. International Journal of Communication 10, no. Special Issue (2016): 20.
The study and analysis of large and complex data sets offer a wealth of insights in a variety of applications. Computational approaches provide researchers access to broad assemblages of data, but the insights extracted may lack the rich detail that qualitative approaches have brought to the understanding of sociotechnical phenomena. How do we preserve the richness associated with traditional qualitative methods while utilizing the power of large data sets? How do we uncover social nuances or consider ethics and values in data use?
Technical Boundary Spanners and Translation: A Study of Energy Modeling for High Performance Hospitals
High performance buildings—buildings with the aim of reduced energy and resource use— require that engineering analysis be at the center of an iterative and complex design process that assesses trade-offs, goals, and priorities across engineering and other fields of expertise. It has been observed that teams rarely get this right. Historical, cultural, and technical issues all get in the way of open communication and the integration of technical analysis. In this research, we ask what organizational and communication practices are needed for engineering to translate and design teams to synthesize complex energy modeling into the design of hospital buildings? In this paper we introduce a detailed ethnography of energy modeling during the conceptual phase of a new hospital design where energy modeling falls short of its potential. With cross case comparison, we found that a technically-knowledgeable boundary spanner in the owner organization enriches collaboration between the design team and the owner organization for more accurate and impactful energy modeling and improved translation of the model between team and owner. The energy modeling process became almost more important than the results of the energy model wherein the owner and design team had design-critical conversations about the model inputs and clear knowledge about the owner’s goals for the data. We propose that it is in this socially constructed knowledge where real high performance design can occur.
Dossick, Carrie Sturts, Gina Neff, Laura Osburn, Chris Monson, and Heather Burpee. “Technical Boundary Spanners and Translation: A Study of Energy Modeling for High Performance Hospitals.” Cle Elum, Washington: Engineering Project Organization Conference, 2016. http://www.epossociety.org/EPOC2016/papers/Dossick%20et%20al%20_EPOC_2016.pdf.