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[…] we presume to establish which harms pose greater or lesser risks to individuals or society. These harms can — and often do — occur in tandem with one another. Heightened Risks of Generative AI In conjunction with the Table of Potential Harms of Automated Decision-making, this table highlights some of the additional risks associated […]

FPF released an infographic and readiness checklist to help schools better understand and prepare for the risks posed by deepfakes. Deepfakes are realistic, synthetic media, including images, videos, audio, and text, created using a type of Artificial Intelligence (AI) called deep learning. By manipulating existing media, deepfakes can make it appear as though someone […]

[…] As part of AIPA, Utah established a regulatory sandbox program and created the Office of Artificial Intelligence Policy to oversee AI governance and innovation in the state. One of the AI Office’s early priorities has been assessing the role of AI-driven mental health chatbots in licensed medical practice. To address concerns surrounding these chatbots, […]

[…] your school have that may apply? Community dynamics are considered  when constructing any public  communication regarding the incident;  all communication is consistent and  mindful of privacy impacts. What processes does your school have to ensure the privacy of students and minimize harm when communicating? Real-World Example Deepfake non-consensual intimate imagery (NCII) can be generated by face-swapping, replacing  one person’s face with another’s face, or digitally “undressing”  a clothed image to appear nude. In the case where NCII involves minors, it may also be considered Child Sexual Abuse Material (CSAM). These deepfakes raise many of the  same issues as non-synthetic NCII and CSAM, though potential ofenders may not appreciate the serious, criminal implications. While many of these deepfakes may be  created and shared outside of school, schools are required to address of-campus behavior that creates a “hostile environment” in the school. Consider how your school  would respond to the below incident as it unfolds.  For more resources visit studentprivacycompass.org/deepfakes IMAGE TThese forgeries can convincingly  alter or create static images of  people, objects, or settings that are entirely or partially  fabricated. Methods like face swapping, morphing, and style transfer are often used.  AUDIO By mimicking vocal traits, audio  deepfakes can convincingly  replicate a person’s voice. They can be used to  fabricate phone calls, voice messages, or public  addresses. DEEPFAKES PRINCIPAL UPDATE

Today, the Future of Privacy Forum (FPF) released an infographic and readiness checklist to help schools better understand and prepare for the risks posed by deepfakes. Deepfakes are realistic, synthetic media, including images, videos, audio, and text, created using a type of Artificial Intelligence (AI) called deep learning. By manipulating existing media, deepfakes can […]

[…] advance by FPF Sponsorship Team O u r inaugural DC Privacy Forum was such a success, we’re turning the DC Privacy Forum into an annual event! This one-day event will center around an important theme (TBD) and will feature distinguished speakers leading breakout sessions, panels, keynotes, debates and more. Our 2024 sponsorships sold out […]

[…] approved in advance by FPF Sponsorship Team Our inaugural DC Privacy Forum was such a success, we’re turning the DC Privacy Forum into an annual event! This one-day event will center around an important theme (TBD) and will feature distinguished speakers leading breakout sessions, panels, keynotes, debates and more. Our 2024 sponsorships sold out […]

[…] apply? Community dynamics are considered  when constructing any public  communication regarding the incident;  all communication is consistent and  mindful of privacy impacts. What processes does your school have to ensure the privacy of students and minimize harm when communicating? Real-World Example Deepfake non-consensual intimate imagery (NCII) can be generated by face-swap ping, replacing  one person’s face with another’s face, or digitally “undressing”  a clothed image to appear nude. In the case where NCII involves minors, it may also be considered Chil d Sexual Abuse Material (CSAM). These deepfakes raise  many of the same issues as non-synthetic NCII and CSAM, though potential ofenders may not appreciate the serious, crimina l implications. While many of these  deepfakes may be created and shared outside of school, schools are required to  address of-campus behavior that creates a “hostile environment” in the school.  Consider how your school would respond to the below incident as it unfol ds.  For more resources visit studentprivacycompass.org/deepfakes IMAGE TThese forgeries can  convincingly alter or create static  images of people, objects, or settings that are  entirely or partially fabricated. Methods like face swapping, morphing, and style transfer are often used.  AUDIO By mimicking vocal traits,  audio deepfakes can  convincingly replicate a person’s voice. They  can be used to fabricate phone calls, voice  messages, or public addresses. DEEPFAKES PRINCIPAL […]

[…] a fe d era l la w th at would im pact AI- d riv e n pro d ucts an d se rv ic e s, one of th e m ost co m ple x ch alle ng es is fe d era l pre em ptio n, or the exte nt […]

The Future of Privacy Forum (FPF) released a landscape analysis of the adoption of Privacy Enhancing Technologies (PETs) by State Education Agencies (SEAs). As agencies face increasing pressure to leverage sensitive student and institutional data for analysis and research, PETs offer a unique potential solution as they are advanced technologies designed to protect data privacy […]