…. investigators in Ukraine are engaged in the grim task of gathering evidence for possible war crime trials of Russian soldiers. For that, the investigators are aided by advanced machine learning technology, including facial recognition, geospatial data analytics, image analysis and analysis of streaming video from security cameras.
New ACM TechBrief Spotlights Privacy, Ethics Problems with Facial Recognition Technology
March 1, 2022 by
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
May 28, 2021 by
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.
IBM Sunsets Facial Recognition and Analysis AI Software
June 9, 2020 by
The biggest news story today in the world of AI is IBM CEO Arvind Krishna’s letter to Congress explaining the company’s decision to sunset its facial recognition and analysis artificial intelligence software products, a statement that also outlines IBM’s proposals to advance racial equality in the U.S., including broader education and training opportunities. The letter […]
Using Camera Data Effectively Without Facial Recognition
July 28, 2019 by
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?
