Ementorhub

What you'll learn

Understand emerging governance expectations for businesses developing and implementing generative AI

Identify relevant strategy considerations, costs, and key stakeholders for generative AI projects

Apply responsible AI analysis to generative AI decisions

Skills you'll gain

Regulatory Compliance

Generative AI

Data Management

Organizational Strategy

Stakeholder Management

Risk Management

Technology Strategies

Compliance Management

Business Ethics

Governance

Artificial Intelligence

Cost Benefit Analysis

There are 3 modules in this course

In “Generative AI: Governance, Policy, and Emerging Regulation,” you’ll discuss governance considerations for generative artificial intelligence (AI) systems deployed in an organization and explore data management practices, transparency methods, risk and impact assessments, and management approaches that ensure generative AI is developed and deployed responsibly. The course also provides an overview of the current generative AI policy and regulatory landscapes within the United States, European Union, and G7 countries. By exploring governance issues and the current regulatory landscape regarding AI, you’ll gain a deeper understanding of how to integrate, manage, and monitor AI within your organization.

Strategic Alignment, Cost Analysis, and Stakeholder Mapping

Applying Responsible AI Principles to Generative AI Decisions