Introducing our comprehensive certificate program designed for risk and compliance professionals. This program combines four essential courses to provide a deep dive into the critical aspects of AI risk management and regulatory compliance.
- Preparing for the EU AI Act (Partner Course – External Enrollment Required): This course is delivered by a live partner instructor, Aleksandr Tiulkanov, and is not hosted directly through our platform. To enroll, visit aia.tiulkanov.info and register directly with the instructor. Upon enrollment, the instructor will provide you with a discount code required to purchase this certification bundle. Please do not purchase this bundle without that code, as the price listed here does not include the cost of this partner course — and completing it is required to earn the certification.
- Algorithmic Risk & Impact Assessments: Learn to assess the risks and impacts of AI algorithms, ensuring that potential harms are identified and mitigated effectively. This course covers methodologies for conducting assessments and strategies for managing algorithmic risks.
- AI Governance & Risk Management: Explore the principles of AI governance and the best practices for managing risks associated with AI systems. This course provides insights into establishing robust governance frameworks and risk management strategies to ensure responsible AI deployment.
- Bias, Accuracy, & the Statistics of AI Testing: Delve into the critical issues of bias and accuracy in AI systems, understanding the statistical methods for testing and validating AI models. This course equips participants with the knowledge to address bias and ensure the accuracy of AI systems.
Upon completing this certificate program, participants will be equipped with the skills and knowledge to navigate the complexities of AI risk management and regulatory compliance. They will be prepared to implement and oversee quality management systems, ensuring the ethical and safe deployment of AI technologies. Join this program to become a Certified AI Governance & Compliance Professional in this rapidly evolving field of AI.
About your instructor
Dr. Shea Brown, CEO and Founder of BABL AI: Shea is an internationally recognized leader in AI and algorithm auditing, bias in machine learning, and AI governance. He has testified and advised on numerous AI regulations in the US and EU. He is a Fellow at ForHumanity, a non-profit working to set standards for algorithm auditing and organizational governance of artificial intelligence. He is also a founding member of the International Association of Algorithmic Auditors, a community of practice that aims to advance and organize the algorithmic auditing profession, promote AI auditing standards, certify best practices and contribute to the emergence of Responsible AI. He has a PhD in Astrophysics from the University of Minnesota and is currently a faculty member in the Department of Physics & Astronomy at the University of Iowa, where he has been recognized for his teaching excellence from the College of Liberal Arts & Sciences.
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