Certified Artificial Intelligence Governance Professional (AIGP) (Synchronous E-Learning)
About This Course
At the end of the 3-day course, participants will be able to:
• Define artificial intelligence (AI) and machine learning; understand overview of the different types of AI systems and their use cases; and position AI models in the broader socio-cultural context
• Understand the core risks and harms posed by AI systems, the characteristics of trustworthy AI systems, and the characteristics and principles essential to responsible and ethical AI
• Understand the existing laws that govern the use of AI, outline key General Data Protection Regulation (GDPR) intersections and provide awareness of liability reform
• Identify and describe global AI-specific laws and the major frameworks and standards that exemplify how AI systems can be responsibly governed
• Describe the AI development life cycle and the broad context in which AI risks are managed
• Explain how major AI stakeholders collaborate in a layered approach to manage AI risks while recognising the potential benefits AI systems have for society
• Be able to map, plan and scope the AI project, testing and validating the AI system during development, and managing and monitoring AI systems after deployment
• Understand current discussions and ideas about AI governance, including awareness of legal issues, user concerns, and AI auditing and accountability issues
What You'll Learn
Every day we hear more about the potential of AI-powered systems that will transform how we work, create, solve problems, communicate, and even diagnose and treat illness. The possibilities of advanced AI seem unlimited. But without proper testing, evaluation, validation, and verification at each stage of AI development, foundational AI models could perpetuate biases and amplify other societal challenges that will cascade through later systems and remain for decades. We must continue to build and refine the governance processes through which trustworthy AI will emerge and we must invest in the people who will build ethical and responsible AI. Those who work in compliance, risk management, legal and governance together with data scientists, AI project managers, model operations teams and others must be prepared to tackle the expanded equities at issue in AI governance.
To meet this demand, the International Association of Privacy Professionals (IAPP) has developed the Artificial Intelligence Governance Professional (AIGP) certification and training for the emerging AI governance profession. An AIGP trained and certified professional will know how to implement and effectively communicate across teams the emerging best practices and rules for responsible management of the AI ecosystem. We are privileged to grow a community of credentialed AI governance professionals, through which resources and expanding knowledge can be brought together in one place.
Entry Requirements
• Participants should have some understanding of data protection law
• Tertiary qualifications and/or with at least 2 years of work experience