Opponents of facial recognition systems

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- Bob, unfortunately, you were right. At the time of the robbery, he was not only in another city, but even in another state. Here is the document. He was fined by a police patrol for speeding. So he is innocent.

- You need to let him out and apologize.

- Yes.

have long argued that this technology is not yet perfect enough to accurately search for and identify criminals. The developers of such systems themselves have repeatedly warned law enforcement agencies against using them as the only reliable evidentiary tool for detention.
Life after the pandemic: assessing technical risks
Sergey Stelmakh | 06/29/2020
While the full extent of the pandemic's impact is still unknown, Nicole Lauer, Vivek Mehta and Joshua Galvan, experts at Tech Risk Management , a division of KPMG , shared with Information Week czech republic whatsapp data that will help technical risk managers successfully address many of the current challenges and prepare for those that will arise in the future.

In response to the coronavirus threat, countless people have been forced to shift to remote work, stretching existing infrastructure to its limits while exposing unknown vulnerabilities and creating new technical risks. From network capacity, managing new collaboration tools, to targeted cyber threats, businesses need to quickly pivot to manage new risks while maintaining business continuity and productivity.

The need for teams that study technical risks is unlikely to diminish anytime soon. This is because many companies have adopted a modified work model that includes both remote and in-office workers. Today, they are focused on addressing employee security and operational issues. In the coming weeks and months, companies will begin to adapt their work to the current conditions, which includes moving more workloads to the cloud, expanding work-from-home support for employees by deploying video conferencing and remote collaboration infrastructure, purchasing additional licenses, and upgrading network access.


Notably, the facial identification software used by Detroit police along with Williams' background check returned the following message: "This document is not a positive identifier. It is an investigative lead only and is not the basis for an arrest."

This case sets a precedent that points to a much larger problem: AI algorithms cannot yet be trusted entirely.