In an interesting talk, Kurt Opsahl enumerates various commonly used surveillance practices deployed at protests and large gatherings . While this may not seem directly related to HPC, it is none the less important to have a vague understanding of collectible data at the edge and resulting in real-time and post-mortem analysis capabilities using HPC technologies. From a societal perspective, the dilemma is finding a balance between ensuring public safety while minimizing chilling effects that may infringe on rights for political activism.
A none exhaustive list of mentioned technologies is:
Body-Cams (+Facial Recognition, +Body Language)
(Mobile) Biometric Device
Automatic Number Plate Readers (ANPRs)
Watchtowers (Cameras + Audio, sometimes Thermal Imaging)
Stingray/IMSI Catchers (documented use in some authoritarian regimes but little indication of official use in the US or Europe, devices are small and easily obfuscated thus it is hard to recognize their deployment).
In a recent arXiv paper , analysis suggests that unequal access to computing capabilities may shift who and where AI is being innovated. […] we present systematic evidence…
From the ACM Daily Update: ACM’s global Technology Policy Council (TPC) released “Principles for the Development, Deployment, and Use of Generative AI Technologies” in response to innovations in…
https://www.theregister.com/2023/06/19/even_google_warns_its_own/ Apparently they can’t trust it even though they tell people they can trust it. Wonder what code it is trained on that it can’t be trusted?