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[…] 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 […]

We are now in 2025, the year of AI agents. Leading large language model (LLM) developers (including OpenAI, Google, Anthropic) have released early versions of technologies described as “AI agents.” Unlike earlier automated systems and even LLMs, these systems go beyond previous technology by having autonomy over how to achieve complex, multi-step tasks, such as […]

[…] 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 […]

[…] 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 […]

% 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  […]

[…] 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 […]

[…] Sponsorship include: » Company name, logo , and website link in event invitations »Official recognit ion during the Reception by FPF Leadership »Opportunity to pro vide (1) promotional item and (1) giveaway via QR code. Must be approved in advance by FPF Sponso rship Team »Prominent recog nition of name and logo on signage […]

% PRINCIPAL UPDATE OFFICE SNOW DAYMay 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-genera ted 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 confidential ity and  privacy of all parties when investigating and communicating about an inc ident 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 medi a 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 shoul d  address a deepfake incident Evaluate if a sexually explicit deepfake incident qualifies 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  […]

[…] while scraping has long existed in a legal gray area, the rise of AI has heightened privacy concerns. He challenged the perception that publicly available data is free for unrestricted use, noting that privacy laws are evolving to address these issues. The discussion explored potential regulatory solutions, emphasizing the importance of distinguishing between beneficial […]

[…] protection laws built around these requirements are ignored. Scraping has evaded a reckoning with privacy law largely because scrapers act as if all publicly available data were free for the taking. But the public availability of scraped data shouldn’t give scrapers a free pass. Privacy law regularly protects publicly available data, and privacy principles […]