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BEGIN:VEVENT
DTSTART;VALUE=DATE:20240710
DTEND;VALUE=DATE:20240808
DTSTAMP:20260617T012911
CREATED:20240122T203650Z
LAST-MODIFIED:20240502T194255Z
UID:5760-1720569600-1723075199@instituteofprivacydesign.org
SUMMARY:Q3 2024 Strategic Privacy by Design Online Course
DESCRIPTION:Dive into Privacy Design!\nThis course is offered as an introduction to the concepts of strategic privacy by design over 4 – 5 weeks. Each week you will be provided new material to be done at your own pace including: \n\nInteractive Lessons\nOnline Coursework\nQuizzes\nSupplementary Reading Material\nWeekly Live Instructor Review of Group Assignment\n\n\nExpect to put in approximately 5-8 hours of study time per week:\n\n3-6 in self-study\n1 in team assignment\n1 in instructor review\n\n  \nEarly Bird Discount: Train for only $520 when you register before June 19th\, 2024!
URL:https://instituteofprivacydesign.org/event/q3-2024-strategic-privacy-by-design-online-course/
LOCATION:Virtual
CATEGORIES:#privacytraining,#spbd
ATTACH;FMTTYPE=image/png:https://instituteofprivacydesign.org/wp-content/uploads/2024/01/Privacy-by-Design-Training-Blue-4.png
ORGANIZER;CN="Enterprivacy Consulting Group":MAILTO:rjc@enterprivacy.com
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240715T090000
DTEND;TZID=America/New_York:20240716T160000
DTSTAMP:20260617T012911
CREATED:20240520T153600Z
LAST-MODIFIED:20240520T165952Z
UID:6633-1721034000-1721145600@instituteofprivacydesign.org
SUMMARY:Artificial Intelligence Governance (AIGP)
DESCRIPTION:This training teaches critical artificial intelligence governance concepts that are also integral to the AIGP certification exam. While not purely a “test prep” course\, this training is appropriate for professionals who plan to certify\, as well as for those who want to deepen their AI governance knowledge. Both the training and the exam are based on the same body of knowledge. \nWHAT YOU WILL LEARN: \nAIGP training teaches how to develop\, integrate and deploy trustworthy AI systems in line with emerging laws and policies. The curriculum provides an overview of AI technology\, survey of current law\, and strategies for risk management\, among many other relevant topics. \nMODULES: \n\nModule 1: Foundations of artificial intelligence\nDefines AI and machine learning\, presents an overview of the different types of AI systems and their use cases\, and\npositions AI models in the broader socio-cultural context.\nModule 2: AI impacts on people and responsible AI principles\nOutlines the core risks and harms posed by AI systems\, the characteristics of trustworthy AI systems\, and the\nprinciples essential to responsible and ethical AI.\nModule 3: AI development life cycle\nDescribes the AI development life cycle and the broad context in which AI risks are managed.\nModule 4: Implementing responsible AI governance and risk management\nExplains how major AI stakeholders collaborate in a layered approach to manage AI risks while acknowledging AI\nsystems’ potential societal benefits.\nModule 5: Implementing AI projects and systems\nOutlines mapping\, planning and scoping AI projects\, testing and validating AI systems during development\, and\nmanaging and monitoring AI systems after deployment.\nModule 6: Current laws that apply to AI systems\nSurveys the existing laws that govern the use of AI\, outlines key GDPR intersections\, and provides awareness of\nliability reform\nModule 7: Existing and emerging AI laws and standards\nDescribes global AI-specific laws and the major frameworks and standards that exemplify how AI systems can be\nresponsibly governed.\nModule 8: Ongoing AI issues and concerns\nPresents current discussions and ideas about AI governance\, including awareness of legal issues\, user concerns\, and AI auditing and accountability issues.\n\n \nCLASS MATERIALS INCLUDE: \n\nTwo full days of training\nElectronic and hardcopy version of the participant guide\nA 1-year IAPP membership with first class (applied to renewal for current IAPP members)\nVoucher to sit for the certification exam\nVoucher for a Certification Study Group*\nOptional refresher course should you fail the IAPP exam **\n\n\n* Certification Study Group voucher must be used within three months of taking the course. \n** The IAPP exam must be taken within three months of completion of the class. Refresher course must be taken within three months of completing the IAPP exam. \n*** 1 Year Membership valid with first course taken with Privacy Ref
URL:https://instituteofprivacydesign.org/event/artificial-intelligence-governance-aigp-3/
LOCATION:Hybrid (Online & In-Person)
CATEGORIES:#privacytraining,#AIGP
ATTACH;FMTTYPE=image/png:https://instituteofprivacydesign.org/wp-content/uploads/2024/02/65c4fddd1fe64-1.png
ORGANIZER;CN="Privacy Ref":MAILTO:info@privacyref.com
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240717T090000
DTEND;TZID=America/New_York:20240718T160000
DTSTAMP:20260617T012911
CREATED:20240520T160656Z
LAST-MODIFIED:20240520T165925Z
UID:6645-1721206800-1721318400@instituteofprivacydesign.org
SUMMARY:European Data Protection (CIPP/E)
DESCRIPTION:The European Data Protection (CIPP/E) encompasses pan-European and national data protection laws\, key data protection terminology and practical concepts concerning the protection of personal data and trans-border data flows. The global gold standard in European data protection certification. \nThe content of the courses is integral to broadening your knowledge\, educating your privacy team\, and put you on the path to obtaining your privacy certifications. \nCourse outline: \n\nModule 1: Data protection laws\nModule 2: Personal data\nModule 3: Controllers and processors\nModule 4: Processing personal data\nModule 5: Data subject rights\nModule 6: Information provision obligations\nModule 7: International data transfers\nModule 8: Compliance considerations\nModule 9: Security of processing\nModule 10: Accountability\nModule 11: Supervision and enforcement\n\n \nClass materials include: \n\nTwo full days of training\nElectronic and hardcopy version of the textbook and participant guide\nA 1-year IAPP membership with first class (applied to renewal for current IAPP members)\nVoucher to sit for the certification exam\nVoucher for a Certification Study Group*\nOptional refresher course should you fail the IAPP exam **\n\n\n* Certification Study Group voucher must be used within three months of taking the course. \n** The IAPP exam must be taken within three months of completion of the class. Refresher course must be taken within three months of completing the IAPP exam. \n*** 1 Year Membership valid with first course taken with Privacy Ref
URL:https://instituteofprivacydesign.org/event/european-data-protection-cipp-e/
LOCATION:Hybrid (Online & In-Person)
CATEGORIES:#privacytraining,#CIPP/E
ATTACH;FMTTYPE=image/png:https://instituteofprivacydesign.org/wp-content/uploads/2024/02/65c4fddd1fe64-1.png
ORGANIZER;CN="Privacy Ref":MAILTO:info@privacyref.com
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240725T120000
DTEND;TZID=America/Halifax:20240725T130000
DTSTAMP:20260617T012911
CREATED:20240507T182637Z
LAST-MODIFIED:20240514T201320Z
UID:6579-1721908800-1721912400@instituteofprivacydesign.org
SUMMARY:Differential Privacy in Practice: Unlocking Insights from Data while Protecting Individual Privacy | Privacy Engineering & Technology Education Discussion (PETed)
DESCRIPTION:Join our IOPD Privacy Engineering & Technology Education Discussion (PETed) Series! The format of the webinar will be a recorded 10-minute introduction followed by a 40-minute informal discussion and interaction with members of the IOPD. The goal will be a discussion on how to solve a specific privacy problem or privacy related resource topic and the latest implementation techniques for some of the biggest challenges like synthetic data\, zero-knowledge proofs\, homomorphic encryption\, and translucent databases. \nThe participants will be asked to bring questions related to the topic. Come back the fourth Thursday of every month for a new discussion\, new speaker\, and new insights on the most cutting-edge privacy challenges! \n  \nDate & Time:\nJuly 25\, 2024 @ 12:00 PM EDT / 6:00 PM CEST \n  \nTopic:\nHow to deploy differential privacy in practice to unlock insights from sensitive\, regulated\, or proprietary data.  \n  \nSynopsis:\nIn this talk Gerome will explain how we have successfully used differential privacy to unlock insights from highly sensitive data. This will include examples of practical deployments of the technology at major enterprises: the challenges\, solutions\, and lessons learned. Gerome will describe the benefits differential privacy can offer to a data custodian who is responsible for the management of sensitive data\, including clarity about the privacy risk involved in a data release and the ability to share higher-quality data. \n  \nProblem Statement:\nDifferential privacy allows sensitive data to be shared in a manner that preserves insights in the data while offering a rigorous guarantee of protection for contributing individuals. \n  \nPre-Discussion Resources:\n\nBlog post: A friendly introduction to differential privacy\nBlog post: An overview of various privacy-enhancing technologies\, showing where differential privacy fits\nBlog post: A look at some failures of legacy anonymization technologies\nA reference textbook on differential privacy\, focused on applications.\nA reference textbook on differential privacy\, focused on theory. \nNIST Differential Privacy Blog series \nNIST Guidelines for Evaluating Differential Privacy Guarantees\nTumult Labs Case Study: Publishing Wikipedia Usage Data with strong privacy\nA video tour of Tumult Analytics\, easy-to-use software for differentially private computation \n\n  \nSpeaker:\nGerome Miklau \nGerome Miklau is co-founder and CEO of Tumult Labs\, a start-up focused on commercializing privacy technology. He is on leave from his position as a Professor of Computer Science at the University of Massachusetts\, Amherst. Prior to founding Tumult Labs\, he consulted for the U.S. Census Bureau on disclosure avoidance algorithms used for the 2020 Decennial Census. \nHis academic research focuses on private\, secure\, and equitable data management. He designs algorithms to accurately learn from data without disclosing sensitive facts about individuals\, primarily in the model of differential privacy. He studies fair and responsible data management. He has also designed novel techniques for controlling access to data\, limiting retention of data\, and resisting forensic analysis. \nHe received his Ph.D. in Computer Science from the University of Washington in 2005. He earned Bachelor’s degrees in Mathematics and in Rhetoric from the University of California\, Berkeley\, in 1995. \n  \nModerator:\nMary Yip \nMary is a privacy officer who is passionate about privacy and data protection. She is responsible for the oversight of privacy compliance and privacy risks management for several entities within her organization. Mary’s diverse experience in privacy\, risk management\, auditing\, business analysis\, and project management contributes to her effectiveness in leading and supporting privacy programs across entities. \n  \nThe IOPD Privacy Engineering & Technology Education Discussion (PETed) Series is a members-only event. Join as an Ambassador before the 1st of each month to get invited to this month’s event! Please reach out to a current member to be invited as a guest. If you are already a member\, subscribe to our PETed Mailing List for announcements and monthly invitations!
URL:https://instituteofprivacydesign.org/event/differential-privacy-in-practice-unlocking-insights-from-data-while-protecting-individual-privacy-privacy-engineering-technology-education-discussion-peted/
LOCATION:https://iopd.whereby.com/peted-discussion
CATEGORIES:PETed
ATTACH;FMTTYPE=image/png:https://instituteofprivacydesign.org/wp-content/uploads/2024/03/2-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240726T130000
DTEND;TZID=America/New_York:20240726T150000
DTSTAMP:20260617T012911
CREATED:20240521T164131Z
LAST-MODIFIED:20240521T164131Z
UID:6672-1721998800-1722006000@instituteofprivacydesign.org
SUMMARY:Certification Study Group - Artificial Intelligence Governance (AIGP)
DESCRIPTION:There are many ways to prepare for taking a certification exam from the International Association of Privacy Professionals. No matter how you study\, there always seem to be some questions that remain. Privacy Ref can help. \nCome prepared to this 2-hour session with questions or areas related to the exam that you want to review. We will be making use of the exam blueprint and body of knowledge provided by the IAPP to focus our discussion.
URL:https://instituteofprivacydesign.org/event/certification-study-group-artificial-intelligence-governance-aigp-3/
LOCATION:Online
CATEGORIES:#AIGP,#certificationstudygroup
ATTACH;FMTTYPE=image/png:https://instituteofprivacydesign.org/wp-content/uploads/2024/02/65c4fddd1fe64-1.png
ORGANIZER;CN="Privacy Ref":MAILTO:info@privacyref.com
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240731T150000
DTEND;TZID=America/New_York:20240731T160000
DTSTAMP:20260617T012911
CREATED:20240605T221416Z
LAST-MODIFIED:20240605T221534Z
UID:6769-1722438000-1722441600@instituteofprivacydesign.org
SUMMARY:Q3 All Hands Meeting 2024
DESCRIPTION:ALL HANDS MEETING 📢 Ambassadors\, Advisors\, Volunteers\, and Committee Members are all invited to join us Wednesday\, July 31st from 3:00 – 4:00 PM. We will meet to welcome our new members\, give updates on current projects\, and report on the new standard currently in development! \nPlease reach out to admin22@instituteofprivacydesign.org if you have yet to receive an invitation. Guest invites are first come first serve. If you have a friend or colleague interested\, send us their email and we’ll add them to the guest list!
URL:https://instituteofprivacydesign.org/event/q3-all-hands-meeting-2024/
LOCATION:https://iopd.whereby.com/all-hands
CATEGORIES:All Hands Meeting,IOPD Events
ATTACH;FMTTYPE=image/png:https://instituteofprivacydesign.org/wp-content/uploads/2024/06/Q3allhands.png
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