The Future of Privacy Forum (FPF) hosted its third annual DC Privacy Forum, "Advancing Principled Data Protection, AI, and Digital Governance Practices," on June 10, 2026, in Washington, D.C., according to FPF. The event gathered government officials, academics, civil society representatives, and privacy professionals to discuss AI governance, privacy regulation, youth online safety, personalization, and AgeTech, per FPF. Congressman John Joyce, M.D. delivered the keynote and reiterated his work on federal privacy reform and the SECURE Data Act, saying, "Your participation allows the SECURE Data Act to be the legislation that can ultimately be that successful safeguard," according to FPF. Legal firm Greenberg Traurig is listed as a sponsor and Ian Ballon delivered opening remarks at the forum's closing reception, per the Greenberg Traurig event listing.
What happened
The Future of Privacy Forum (FPF) hosted its third annual DC Privacy Forum, "Advancing Principled Data Protection, AI, and Digital Governance Practices," on June 10, 2026, in Washington, D.C., according to FPF. FPF CEO Jules Polonetsky opened the Forum and FPF Board President Alan Raul introduced the keynote speaker, Congressman John Joyce, M.D., per the FPF event summary. Congressman Joyce discussed his involvement with federal privacy legislation and the SECURE Data Act, stating, "Your participation allows the SECURE Data Act to be the legislation that can ultimately be that successful safeguard," as reported by FPF.
Event coverage and participants
FPF reports the Forum convened government officials, academics, civil society representatives, and privacy professionals to explore topics including AI governance, privacy regulation, youth online safety, personalization, and AgeTech. The Greenberg Traurig event page lists Greenberg Traurig as a sponsor and notes that shareholder Ian Ballon delivered opening remarks at the Forum's closing reception.
Editorial analysis - technical context
Industry-pattern observations: policy convenings that center on AI governance and data protection often surface cross-cutting technical questions-model auditing, data minimization strategies, and telemetry for safety monitoring-because those topics intersect with regulation and procurement. Practitioners should expect policy discussions to increasingly reference technical controls such as differential privacy, model explainability, and audit trails, even when the event agenda emphasizes legal and regulatory frameworks.
Context and significance
Editorial analysis: the Forum is one of several policy-facing convenings this year that bring lawmakers and technologists into the same room, reflecting sustained legislative attention to federal privacy reform. For practitioners, the continuing focus on a potential federal law, exemplified by panels and a keynote on the SECURE Data Act, increases the likelihood that compliance requirements will be central to product and data-architecture decisions over the next 12-24 months.
What to watch
- •Movement on the SECURE Data Act and any formal legislative text or markups referenced by Capitol Hill staffers and sponsors. - •Publicly shared white papers or technical standards cited by panels that could inform compliance checklists or procurement requirements.
- •Cross-sector working groups emerging from convenings that include civil society, industry, and regulators, which often generate practical guidance.
For practitioners
Editorial analysis: teams building data pipelines, labeling systems, or model evaluation frameworks should track outcomes from these forums because regulatory attention tends to drive privacy-preserving defaults and increased auditability requirements in procurement and vendor risk processes.
Scoring Rationale #
A notable policy convening that brought legislators, privacy practitioners, and civil society together around AI governance and the active SECURE Data Act (HR 8413). No binding legislative outcomes from the event itself; score reflects its relevance as a regulatory-signal forum for practitioners tracking federal privacy reform.
Practice interview problems based on real data
1,500+ SQL & Python problems across 15 industry datasets — the exact type of data you work with.