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Accepted Paper:

Proposal of Applying Constructive Technology Assessment to the Autonomous Car  
Keita Sugihara (Nanzan University)

Paper short abstract:

I propose actor-network theory (ANT) based constructive technology assessment (CTA) for the autonomous car. I discuss the utilization CTA from the perspective of ANT in order to realize a socially desirable autonomous car. Further, I discuss a plan for hosting an autonomous car workshop in Japan.

Paper long abstract:

Today, the autonomous car is attracting a lot of attention in developed countries. In the near future, the realization and diffusion of the autonomous car will have substantial influence on our life, both positively and negatively. This presentation aims to apply actor-network theory (ANT) based constructive technology assessment (CTA) in order to realize a desirable autonomous car in society. First, I will present the social expectations for the autonomous car in the United States, Europe, and Japan. Second, I will discuss some negative aspects of the autonomous car, citing a case from the Netherlands. Those negative aspects of the autonomous car include asocial behavior of drivers of the autonomous car toward pedestrians. In the presentation of this case, I will rely on the study of Waelbers in the country. Third, I will discuss CTA, citing the study of Rip. Then I will examine how we can utilize ANT in CTA, relying on the study of Callon. Fourth, I propose applying ANT-based CTA on the autonomous car in order to realize a socially desirable autonomous car. I will discuss why using CTA from the ANT perspective is useful in the development of a desirable autonomous car in society. In addition, I will discuss a plan to host an autonomous car workshop in Japan, based on CTA from the ANT perspective. Finally, I will discuss how the concept of the autonomous car is shaping the present and summarize my presentation.

Panel T056
Socio-technical Futures Shaping the Present - Empirical Examples and Analytical Challenges in STS and Technology Assessment
  Session 1 Thursday 1 September, 2016, -