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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/
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
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