AI Ethics, Governance, and Compliance: Build Responsible AI
Master AI Ethics, Governance, and Compliance: Frameworks, Risk Management, and Best Practices for Responsible AI Systems
4.50 (4 reviews)
1,292
students
3.5 hours
content
Oct 2024
last update
$44.99
regular price
What you will learn
Define Core Concepts: Understand the fundamentals of AI, ethics, governance, and compliance, and explain how they intersect in AI systems.
Evaluate Ethical Principles in AI: Analyze key ethical principles like beneficence, non-maleficence, accountability, transparency, non-discrimination as applied
Identify and Engage Stakeholders in AI Ethics: Recognize the various stakeholders in AI ethics and their roles in promoting responsible and fair AI practices.
Apply Ethical AI Frameworks: Explore & implement ethical frameworks that guide responsible AI practices to support human rights & prevent common ethical issues
Explain AI Governance Concepts: Describe AI governance and its necessity in regulating and guiding the responsible development and deployment of AI.
Design and Implement AI Governance Models: Build effective governance structures by using key components and best practices for AI governance.
Develop a Compliance Program for AI: Create and manage a compliance program that ensures AI systems meet ethical, legal, and organizational standards.
Utilize Governance and Compliance Frameworks: Apply governance and compliance frameworks to real-world AI use cases, measuring their effectiveness and impact.
Identify and Mitigate AI Risks: Assess different types of AI risks, develop strategies for risk mitigation, and establish a robust risk management framework.
Stay Updated on Trends and Future Directions: Analyze current trends, challenges, and evolving future of AI governance, compliance, ethics for Responsible AI.
6243389
udemy ID
10/19/2024
course created date
11/3/2024
course indexed date
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