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[…] patterns Narrowing of Choice for Groups SOCIAL DETRIMENT Network Bubbles E.g. Varied exposure to opportunity or evaluation based on “who you know” Filter Bubbles E.g. Algorithms that promote only familiar news and information Dignitary Harms E.g. Emotional distress due to bias or a decision based on incorrect data Stereotype Reinforcement E.g. Assumption that computed […]

[…] 2025 FPF | AI | POTENTIAL HARMS AND MITIGATION PRACTICES FOR AUTOMATED DECISIONMAKING AND GENERATIVE AI | APRIL 2025 All FPF materials that are released publicly are free to share and adapt with appropriate attribution. Learn more. U P DAT E D BY Amber Ezzell Policy Counsel for Artificial Intelligence, Future of Privacy Forum […]

FPF has updated our 2017 resource (“Distilling the Harms of Automated Decision-making”) with the goal of identifying and categorizing a broad range of potential harms that may result from automated decision-making, including heightened harms related to generative AI (GenAI), and potential mitigation practices. FPF reviewed leading books, articles, and other literature on the topic of […]

[…] patterns Narrowing of Choice for Groups SOCIAL DETRIMENT Network Bubbles E.g. Varied exposure to opportunity or evaluation based on “who you know” Filter Bubbles E.g. Algorithms that promote only familiar news and information Dignitary Harms E.g. Emotional distress due to bias or a decision based on incorrect data Stereotype Reinforcement E.g. Assumption that computed […]

[…] 2025 FPF | AI | POTENTIAL HARMS AND MITIGATION PRACTICES FOR AUTOMATED DECISIONMAKING AND GENERATIVE AI | APRIL 2025 All FPF materials that are released publicly are free to share and adapt with appropriate attribution. Learn more. U P DAT E D BY Amber Ezzell Policy Counsel for Artificial Intelligence, Future of Privacy Forum […]

[…] tech policy. In March, Governor Cox signed several bills related to the governance of generative Artificial Intelligence systems into law. Among them, SB 332 and SB 226 amend Utah’s 2024 Artificial Intelligence Policy Act (AIPA) while HB 452 establishes new regulations for mental health chatbots. The Future of Privacy Forum has released a chart detailing key elements of these new laws.

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 is […]

[…] governance of generative Artificial Intelligence systems into law. Among them, SB 332 and SB 226 amend Utah’s 2024 Artificial Intelligence Policy Act (AIPA) while HB 452 establishes new regulations for mental health chatbots. The Future of Privacy Forum has released a chart detailing key elements of these new laws. Download the Chart Amendments to […]

% PRINCIPAL UPDATE OFFICE SNOW DAY May 13 No School Student Cash Assist FREE REMINDER NO SCHOOLfor Students Professional Learning Day PRINCIPAL UPDATE Readiness Checklist Educate and train students, staf, and parents about the impacts  and consequences of deepfakes Keep current with laws and regulations and understand how laws apply to sharing  student information, even when that information may be AI-generated When investigating incidents, consider that any digital media could  be a deepfake and reliable detection is difcult  Engage in open discussion on how to address potential incidents Establish communication protocols around what to communicate  and to whom Provide support to the impacted individuals, and consider confdentiality and  privacy of all parties when investigating and communicating about an incident Be aware of personal and community biases and norms Determine how existing policies and practices might apply, including policies on  bullying, harassment, Title IX, sexting, technology use, disruption of school,  misconduct outside of school, and impersonation of others on social media Update current policies and procedures to ensure they address deepfakes, including  image-based sexual abuse and harassment Consider implementing policies for third-party vendors on how they should address  a deepfake incident Evaluate if a sexually explicit deepfake incident qualifes as a form  of sexual harassment Consult with legal counsel Work with local law enforcement to establish incident thresholds  and response responsibilities Establish an after-action review process Deepfakes can be created using commonly available online tools or  proprietary programs and are increasingly sophisticated and hard to detect.  While some jurisdictions have started to create requirements for transparency  or authentication for all types of synthetic content, including deepfakes, those  requirements do not yet have substantial reach. School leaders must be  vigilant in addressing its potential impacts by identifying and mitigating  […]

[…] appear as though someone is doing or saying something that they never actually did.  Download the deepfakes infographic and readiness checklist for schools here. Deepfakes, while relatively new, are quickly becoming prevalent in K-12 schools. Schools have a responsibility to create a safe learning environment, and a deepfake incident – even if it happens […]