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AI & Facial Recognition

Further understanding of Artificial Intelligence (AI) bias, facial recognition technology, deepfakes, uses against and benefits for LGBTQ+ communities.
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While AI is popularly referenced in terms of Machine Learning, AI actually encompasses a wide variety of technologies. The Spectrum of Artificial Intelligence published by our partners at The Future of Privacy Forum is an excellent resource that details the different types and uses of AI, their relation to one another, and the ways in which AI exists within the timeline of human knowledge and development.

This paper aims to assist the development of any of these approaches by making clear some of the terms, relationships, and functions of AI, and how they might be
impacted by differing restrictions. Any regulatory efforts should be made with the best understanding of how
different systems, use cases, applications, and ultimately
individuals, will be affected.

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Facial Recognition

Facial Recognition:

technology capable of matching a subject's face from an image or video against a database of images of faces

Facial Detection:

technology that can identify human faces in digital images, commonly used in many applications, is part of facial recognition technology but isn't necessarily the same

Facial De-identification:

technology that conceals or removes identifying information in images or videos in order to prevent the disclosure or use of data by facial recognition technology

Check out NTIA's Privacy Best Practice Recommendations For Commercial Facial Recognition Use

Where facial recognition technology is used on a physical premises that a covered entity controls, such entity is encouraged to provide concise notice to consumers that facial recognition technology is present, and, if contextually appropriate, where consumers can find more information about the covered entity’s use of facial recognition technology.

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Covered entities that use facial    recognition technologies to determine an individual’s identity are encouraged to provide the individual the opportunity to control the sharing of their facial template data with an unaffiliated third party that does not already have this information

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LGBTQ+ and Blockchain: Community-Powered Tech and Tech-Powered Community

Chris Wood, Executive Director & Co-Founder of LGBT Tech joins Cointelegraph Talks to discuss the use of blockchain and emergent technology, including AI and facial recognition software, and their impact on the LGBTQ+ community

Learn more about our facial recognition advocacy work

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