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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 […]

[…] Like the “illegal” category, some examples here may be differently classified depending on the legal regime. LOSS OF OPPORTUNITY Employment Discrimination Differential Access to Job Opportunities E.g. Use of a hiring tool that automatically excludes job candidates based on birth year E.g. Filtering candidates by work proximity leads to excluding people of color Insurance […]

[…] evolving regulatory requirements. Learn more about the FPF Center for AI at fpf.org/ai . 1 Overview of 2025 Update Automated analysis of personal data, including through the use of artificial intelligence and machine learning tools, can be used to improve services, advance research, and combat discrimination. However, automated decision-making can also lead to potential […]

With the close of Utah’s short legislative session, the Beehive State is once again an early mover in U.S. 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 […]

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 […]

[…] mitigation agreement under the AIPA’s sandbox program involving a student-focused mental health chatbot, helped shape the passage of HB 452. The bill establishes new rules governing the use of AI-driven mental health chatbots in Utah, including: Scope: Applies to mental health chatbots, defined as an AI technology that uses generative AI to engage in […]

[…] vo lv e s th e pro vis io n of p ers o naliz e d in fo rm atio n th at co uld be use d to make s ig nifi ca n t pers o nal decis io ns, in clu d in g wit h in fin an cia […]

[…] 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  potential harms while navigating this evolving challenge. Recent incidents  have highlighted the need to protect students, staf, and administrators while  addressing any incident. Administrators can better respond and mitigate  potential harms by leveraging existing policies and procedures and  considering: BULLYING & HARASSMENT MISINFORMATION […]

[…] inviting school leaders to consider the following: How can your school leverage internal investigative tools or processes used for other technology violations? What process does your school use to reduce distribution, ensure the privacy of all students involved in the investigation, and provide appropriate support to the targeted individual? How might the potential of […]

[…] located on FPF website »Official recognition of sponsor during the Luncheon by FPF »Opportunity to make short remarks during the Luncheon (2 minutes) »Opportunity to provide (1) promotional item and (1) giveaway via QR code. Must be approved in advance by FPF Sponsorship Team O u r inaugural DC Privacy Forum was such a […]