Mind Reading and Telepathy for Beginners and Intermediates
What people think machines can know about the mind, and why their beliefs matter
What can machines know about the mind, even theoretically? I examine engineers' and users' beliefs about the answer to this question through (1) a controlled experiment on emotional interpretations of heartrate, and (2) a technology probe–a working brain computer interface–that revealed how software engineers in Silicon Valley imagine futures of mind-machine interfaces. I discuss how sensing technologies meet with human beliefs to shift the boundary between sensing bodies and sensing minds, and what this moving boundary means for the future of cybersecurity. I center engineers' speculative capacity as an undervalued resource in security, and motivate my ongoing work applying speculative HCI practices to surface sociotechnical security threats.
Nick Merrill directs the Daylight Lab at the UC Berkeley Center for Long-Term Cybersecurity. He uses qualitative and quantitative methods to study speculative dimensions of cybersecurity, and their social practice. This talk is based on his dissertation research.
If you require video captions for accessibility and this video does not have captions, click here to request video captioning.
