Robotic Process Automation (RPA) is the automation of office processes through the development of robots or more specifically, software applications, which fully or partially automate office tasks normally performed by humans. RPA is proposed to provide several benefits including gains in accuracy, efficiency, and speed as well as freeing workers from tedious tasks to focus […]
As an emerging technology with ever-increasing applications, biometric technology is used for personal identity, authentication, profiling, analysis, and tracking.
Protected: 12th Annual Advisory Board Meeting 2021
Annual Advisory Board Meeting
FPF Advisory Board Members by Invite Only
Exploring Trends: From “Consent-Centric” Frameworks to Responsible Data Practices and Privacy Accountability in Asia Pacific
FPF Asia Pacific
Personal Data Protection Week 2021
In collaboration with Singapore’s Personal Data Protection Commission (PDPC) and the Asian Business Law Institute (Singapore).
Creating automated age verification systems with high performance and minimal privacy or misidentification risks is a technological challenge for experts in artificial intelligence.
Click here to learn more about FPF’s Understanding Digital Data Flows trainings.
Click here to learn more about FPF’s Understanding Digital Data Flows trainings. FPF Corporate Members receive a discounted registration rate for this session. FPF invites and welcomes the support of companies committed to advancing privacy practices. Please see FPF’s statement of Supporter Levels and Benefits. To learn more about supporting our organization and becoming a member, please contact [email protected]
At the Intersection of AI and Data Protection Law: Automated Decision Making Rules, a Global Perspective
CPDP LatAm (Computers, Privacy and Data Protection LatAm)
This panel will explore the existing provisions in data protection legislation, from the LGPD, to the GDPR and to other data protection laws and bills, that are applying to AI and similar technologies. At a time where the focus of regulators is switching to putting in place new legislation for AI, it is important to […]
Transparency is one of the fundamental principles of privacy and data protection legislation. The GDPR requires companies to provide notices to consumers in “concise, transparent, intelligible and easily accessible form, using clear and plain language.” What are the design principles that ensure a user interface is clear and transparent? How can organizations designing for web, mobile, wearables, voice assistants, connected cars and every sort of IoT device live up to these principles?