AI Regulation and Compliance Training in Minneapolis

The EU AI Act is a comprehensive regulatory framework that establishes obligations for organizations building, deploying, or overseeing AI systems.

This instructor-led, live training (online or onsite) is aimed at intermediate-level governance, compliance, and risk professionals who wish to build, evaluate, and maintain AI governance programs aligned with the EU AI Act for government operations.

Following completion of this course, participants will be able to:

• Interpret regulatory obligations and map them to internal controls for government use.
• Develop documentation, governance mechanisms, and compliance workflows tailored for government agencies.
• Assess AI risks, monitor systems, and perform ongoing compliance checks to ensure alignment with public sector standards.
• Prepare the organization for internal and external audits under the EU AI Act, ensuring adherence to public sector requirements.

Format of the Course

• Regulatory briefings with real-world examples relevant to government operations.
• Hands-on exercises in mapping controls and drafting compliance documents for government use.
• Workshop-style activities for risk analysis and audit preparation, tailored to the public sector.

Course Customization Options

• This course can be adapted to the organization’s sector, regulatory exposure, and AI maturity level, with a focus on enhancing governance for government agencies.

Artificial Intelligence (AI) and Machine Learning (ML) are rapidly evolving technologies with significant implications for data governance and organizational compliance.

This instructor-led, live training (online or onsite) is aimed at intermediate-level governance, privacy, and compliance professionals who wish to understand how to implement robust information governance practices in environments utilizing AI and ML.

By the end of this training, participants will be able to:

• Understand the core concepts of AI and ML within an information governance context.
• Identify typical areas where AI/ML is deployed in organizations and the associated information governance risks.
• Evaluate how AI/ML interacts with Data Protection Principles, records management, and data quality.
• Apply Data Protection Impact Assessments (DPIAs), governance frameworks, and risk mitigation strategies to AI/ML projects for government.

Format of the Course

• Interactive lecture and discussion.
• Real-world case studies and framework analysis.
• Group activities and guided document reviews.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Minneapolis (online or onsite) is designed for intermediate-level artificial intelligence professionals, business leaders, and compliance officers who seek to understand and implement ethical practices in AI systems. The course covers essential ethical frameworks, regulatory standards such as the EU AI Act, and practical techniques for auditing AI systems to reduce bias and enhance transparency.

By the end of this training, participants will be able to:

• Understand core principles of responsible AI, including fairness, accountability, and transparency.
• Identify and mitigate biases within AI systems.
• Implement ethical frameworks and conduct AI audits for compliance.
• Apply governance strategies to manage ethical risks in AI deployment for government.

Participants will learn how to:

• Develop, integrate, and deploy trustworthy artificial intelligence (AI) systems in alignment with emerging laws and policies. The curriculum provides an overview of AI technology, a survey of current legal frameworks, and strategies for risk management, security, safety considerations, privacy protection, and other critical topics.
• Establish foundational knowledge of AI systems, their use cases, the impacts of AI, and an understanding of responsible AI principles.
• Demonstrate an understanding of how current and emerging laws apply to AI systems and how major frameworks can be responsibly governed for government and other public sector applications.
• Show comprehension of the AI life cycle, the context in which AI risks are managed, and the implementation of responsible AI governance practices.
• Gain awareness of unforeseen concerns with AI and knowledge of debated issues surrounding AI governance for government operations.
• This training covers critical AI governance concepts that are integral to the AIGP certification exam. While not solely a "test prep" course, it is suitable for professionals who plan to certify as well as those who want to deepen their understanding of AI governance for government and other public sector roles. Both the training and the exam are based on the same body of knowledge.