Search results

[…] fitness for purpose; Organizations should implement AI governance frameworks informed by the NIST AI Risk Management Framework; Organizations should not claim that AI hiring tools are “bias- free;” and AI hiring tools should be designed and operated with informed human oversight and engagement. “When properly designed and utilized, AI must process vast amounts of […]

Today, the Future of Privacy Forum (FPF) published an Issue Brief comparatively analyzing cross-border data transfer provisions in new data protection laws in the Asia-Pacific. Titled Navigating Cross-Border Data Transfers in the Asia-Pacific region (APAC): Analyzing Legal Developments from 2021 to 2023, the Issue Brief outlines key developments in cross-border data transfers in […]

[…] key area of concern, as well as putting in place mitigation and monitoring measures to ensure personal data generated through such tools are accurate, complete and up-to-date, free from discriminatory, unlawful, or otherwise unjustifiable effects. Other areas of concern mentioned were transparency to promote openness and explainability; production of technical documentation across the AI […]

[…] The ten interplay areas we are highlighting are: Manipulative design in online interfaces; Targeted advertising based on sensitive data; Targeted advertising and protection of minors; Recommender systems free-of-profiling; Recommender systems and advertising transparency; Access to data for researchers and competent authorities; Takedown of illegal content; Risk Assessments; Compliance function and the DSA legal representative; […]

Today, the Future of Privacy Forum (FPF) submitted comments to the Federal Trade Commission (FTC) regarding the use of “Privacy-Protective Facial Age Estimation” as a potential mechanism for verifiable parental consent (VPC) under the Children’s Online Privacy Protection Act (COPPA) Rule. FPF observes: The “Privacy-Protective Facial Age Estimation” technology may improve the existing […]

[…] Bolster privacy by using Privacy Enhancing Technologies (PETs), reduce data sensitivity through data minimization and aggregation, and include metadata as part of internal privacy reviews before sharing. Promote rigorous data governance by assigning multiple people with expertise to manage data sharing, connect core team members to the data-sharing team, and adapt Data Sharing Agreements […]

[…] Valid Consent Has Strict Requirements, Is Withdrawable, And Can be Exercised Through Consent Managers The DPDP Act requires that consent for processing of personal data be “ free, specific, informed, unconditional and unambiguous with a clear affirmative action.” These conditions are similarly strict to those required under the GDPR, highlighting that the people whose […]

Today, the Future of Privacy Forum (FPF) releases the Generative AI for Organizational Use: Internal Policy Checklist. With the proliferation of employee use of generative AI tools, this checklist provides organizations with a powerful tool to help revise their internal policies and procedures to ensure that employees are using generative AI in a […]

Today, we are re-releasing the report: The Spectrum of Artificial Intelligence – Companion to the FPF AI Infographic with new updates to account for the development and use of advanced generative AI tools. In December 2020, FPF published the Spectrum of Artificial Intelligence – An Infographic Tool, designed to visually display the variety […]

[…] FPF CEO, and Takeshige Sugimoto, Managing Partner at S&K Brussels LPC and FPF Senior Fellow, hosted the Symposium.  The G7 DPA Agenda, built on three pillars: Data Free Flow with Trust, emerging technologies, and enforcement cooperation The DPAs of the G7 nations started to meet annually in 2020, following the initiative of the UK’s […]