This course delves into the critical domain of Privacy Impact Assessments (PIAs) specifically tailored for Artificial Intelligence applications. Participants will engage in a project-based, interactive learning environment that emphasizes practical skills and real-world application. The curriculum is designed to equip learners with the necessary tools to conduct thorough PIAs, ensuring compliance with data privacy regulations while leveraging AI technologies effectively. By the end of the program, participants will have the opportunity to publish their findings and insights in Cademix Magazine, contributing to the broader discourse on AI and data privacy.
The structure of the course is meticulously crafted to foster a deep understanding of the methodologies and frameworks involved in conducting PIAs. Through a series of hands-on projects and collaborative exercises, participants will explore the nuances of data handling, risk assessment, and mitigation strategies within the AI landscape. This course is not only a pathway to certification but also a valuable addition to the professional portfolio of any graduate, job seeker, or business professional looking to enhance their expertise in AI and data privacy.
Syllabus:
Introduction to Privacy Impact Assessments (PIAs) in AI
Legal frameworks and regulations surrounding data privacy
Identifying and categorizing personal data in AI systems
Risk assessment methodologies for AI applications
Techniques for data minimization and retention
Stakeholder engagement and communication strategies
Developing a PIA report: structure and components
Case studies of PIAs in AI projects
Tools and software for conducting PIAs
Final project: Conducting a comprehensive PIA for a hypothetical AI application