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Five Big Questions (and Zero Predictions) for the U.S. State Privacy Landscape in 2024
[…] the year that the public first experiences widespread enforcement of their new privacy rights? One structural reason for a lack of visible enforcement actions may be that Virginia, Colorado, Connecticut, and until recently, California all provide the ability for businesses to ‘cure’ many or all alleged violations of their privacy laws before a formal […]

FPF and The Dialogue Release Collaboration on a Catalog of Measures for “Verifiably safe” Processing of Children’s Personal Data under India’s DPDPA 2023
Today, the Future of Privacy Forum (FPF) and The Dialogue released a Brief containing a Catalog of Measures for “Verifiably Safe” Processing of Children’s Personal Data Under India’s Digital Personal Data Protection Act (DPDPA) 2023. When India’s DPDPA passed in August, it created heightened protections for the processing of personal data of children […]

ICYMI: FPF Webinar Discussed The Current State of Kids’ and Teens’ Privacy
[…] considered show four primary categories of laws being considered by state regulators: Platform Accountability Laws, Age Verification Laws, Social Media Metering Laws, and the California Age-Appropriate Design Code (CA AADC). In recent actions, the Federal Trade Commission has stepped up enforcement of the Children’s Online Privacy Protection Act (COPPA). Finally, the U.S. Congress has […]

FPF and OneTrust Release Collaboration on Conformity Assessments under the proposed EU AI Act: A Step-by-Step Guide & Infographic
Today, the Future of Privacy Forum (FPF) and OneTrust released a collaboration on Conformity Assessments under the proposed EU AI Act: A Step-by-Step Guide and accompanying Infographic. Conformity Assessments are a key and overarching accountability tool introduced in the proposed EU Artificial Intelligence Act (EU AIA or AIA) for high-risk AI systems. Conformity […]

Future of Privacy Forum and Leading Companies Release Best Practices for AI in Employment Relationships
[…] 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 […]

Navigating Cross-Border Data Transfers in the Asia-Pacific region (APAC): Analyzing Legal Developments from 2021 to 2023
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 […]

How Data Protection Authorities are De Facto Regulating Generative AI
[…] 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 […]

EU’s Digital Services Act Just Became Applicable: Outlining Ten Key Areas of Interplay with the GDPR
[…] 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; […]

FPF Submits Comments to the FTC on the Application for a New Parental Consent Method
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 […]

Data Sharing for Research: A Compendium of Case Studies, Analysis, and Recommendations
[…] 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 […]