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This chapter analyses robot testimony in criminal proceedings and the problems it poses, primarily through the example of drowsiness alerts generated during an automated automobile ride. A major issue raised by robot testimony is evaluative data, that is, data in which the robot assesses autonomously collected data independently and records its observation. The chapter stresses the importance of vetting robot testimony and identifies deficits in current understandings of the contributions such testimony can make to the truth finding process. The chapter proposes a taxonomy of robot testimony, including evaluative data, as well as a standardized approach for its use in criminal proceedings.
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