New ACM TechBrief Spotlights Privacy, Ethics Problems with Facial Recognition Technology

The Association for Computing Machinery’s global Technology Policy Council (ACM TPC) released “ACM TechBrief: Facial Recognition,” a concise overview of an increasingly-used application which relies heavily on artificial intelligence. The brief includes a primer on facial recognition, key statistics about its growth and use, as well as important policy implications.

Understanding “Human Intent and Behavior” with Computer Vision

In this contributed article, editorial consultant Jelani Harper discusses how computer vision is one of the most eminent forms of statistical Artificial Intelligence in use today. Comprised of varying facets of object detection, facial recognition, image classification, and other techniques, it supports a range of pressing use cases from contact-less shopping to video surveillance.

Using Camera Data Effectively Without Facial Recognition

Expanded use of privacy-invasive facial recognition technology is a hot-button issue. But there are solutions that can preserve and improve the value of cameras in the enterprise without the drawbacks of privacy-invasive facial recognition. Escalating push-back against facial recognition technology that is perceived as privacy-violating, inaccurate and biased, has sparked a search for solutions to this question: Can camera data be used effectively without facial recognition?