Facial Recognition Theory

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And it notes that 48 percent of CIOs have either already deployed some sort of AI software or plan to do so within the next twelve months. All that spending has attracted a huge crop of startups focused on AI-based products. But what exactly is artificial intelligence? And why has it become such an important — and lucrative — part of the technology industry?

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Critical Face Theory: Facebook and Facial Recognition

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Understanding face recognition

Face recognition is a method of identifying or verifying the identity of an individual using their face. Face recognition systems can be used to identify people in photos, video, or in real-time. Law enforcement may also use mobile devices to identify people during police stops. Facial recognition software is particularly bad at recognizing African Americans and other ethnic minorities, women, and young people, often misidentifying or failing to identify them, disparately impacting certain groups. Additionally, face recognition has been used to target people engaging in protected speech.

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What is Artificial Intelligence? Guide to AI

Scientists have long deemed the ability to recognize faces innate for people and other primates -- something our brains just know how to do immediately from birth. However, the findings of a new Harvard Medical School study published Sept. Working with macaques temporarily deprived of seeing faces while growing up, a Harvard Medical School team led by neurobiologists Margaret Livingstone, Michael Arcaro, and Peter Schade has found that regions of the brain that are key to facial recognition form only through experience and are absent in primates who don't encounter faces while growing up.

Facial recognition technology provokes unease, but many of the charges against it do not bear scrutiny. A survey of facial recognition shows that the trend is for this technology to become more accurate and less biased without the need for policy intervention. The disconnect between public discourse and actual performance raises three problems. How do we clarify the discrepancies in the public discussion of facial recognition? How do we construct a better research agenda for policy issues?