The promise of generative AI technologies is seductive to product leaders: frictionless research in which...
Tag: artificial intelligence
Friction by Machine: How to Slow Down Reasoning with Computational Methods
This paper provides a theoretical alternative to the prevailing perception of machine learning as synonymous with...
Calibrating Agency: Human-Autonomy Teaming and the Future of Work amid Highly Automated Systems
This paper explores how the design of everyday interactions with artificial intelligence in work systems relates to broader issues of interest to social scientists and ethicists: namely human well-being and social inequality. The paper uses experience designing human interactions with highly...
A.I. among Us: Agency in a World of Cameras and Recognition Systems
This paper reports on the use and perceptions of deployed A.I. and recognition social-material assemblages in China and the USA. A kaleidoscope of “boutique” instantiations is presented to show how meanings are emerging around A.I. and recognition. A model is presented to highlight that not all...
The Ethnographer in the Machine: Everyday Experiences with AI-enabled Data Analysis
This paper proposes a model of researcher-AI interaction and argues that ethnographers can smartly leverage AI in...
The Stakes of Uncertainty: Developing and Integrating Machine Learning in Clinical Care
The wide-spread deployment of machine learning tools within healthcare is on the horizon. However, the hype around “AI” tends to divert attention toward the spectacular, and away from the more mundane and ground-level aspects of new technologies that shape technological adoption and integration....
Pulp Friction: Creating Space for Cultural Context, Values, and the Quirkiness of Humanity in AI Engagement
A design executive who has led several multidisciplinary teams and organizations at global companies such as...
Scale, Nuance, and New Expectations in Ethnographic Observation and Sensemaking
Case Study—We consider new expectations for ethnographic observation and sensemaking in the next 20-25 years, as technology industry ethnographers' work unfolds in the increasing presence of the type of analytical capabilities specially trained (and self-training) machines can do ‘better’ and...
Human-Centered Data Science: A New Paradigm for Industrial IoT
Few professions appear more at odds, at least on the surface, than ethnography and data science. The first deals in qualitative “truths,” gleaned by human researchers, based on careful, deep observation of only a small number of human subjects, typically. The latter deals in quantitative “truths,”...
My AI versus The Company AI: How Knowledge Workers Conceptualize Forms of AI Assistance in the Workplace
GSuite is changing the nature of Knowledge Work across 5 million businesses through AI-powered assistance. To ensure that this evolution reflects the aspirations and priorities of workers, Google and Stripe Partners conducted a multi-national ethnography of Knowledge Workers covering a range of...