AI Governance and Compliance Course – 3 Weeks

The AI Governance and Compliance course is a 3-week intensive program that teaches how to implement and manage AI governance frameworks and ensure compliance with AI regulations. Learn to mitigate risks and ensure ethical AI deployment in real-world environments.

Aim

This program offers a comprehensive understanding of the frameworks, regulations, and best practices for governing AI technologies. It focuses on ensuring compliance with ethical standards, data protection laws, and AI accountability in real-world applications.

Program Objectives

AI Governance Frameworks: Understand the structure and impact of AI governance on a global scale.
Compliance Mastery: Learn about the key compliance requirements for AI systems.
Ethical AI Design: Explore how to build AI systems that adhere to fairness and ethical decision-making.
Bias Mitigation: Develop strategies to minimize bias and promote fairness in AI models.
Build Transparent AI: Learn to create AI products that are transparent, compliant, and accountable.

Program Structure

Module 1: Introduction to AI Governance and Compliance

Overview of AI governance and its role in responsible AI development.
Key regulatory bodies and standards such as GDPR, CCPA, and ISO.

Module 2: Ethics in AI Development and Deployment

Ethical principles in AI: Fairness, Accountability, Transparency, and Ethics (FATE).
Case studies on AI failures and ethical challenges.

Module 3: AI Compliance Frameworks and Regulations

Overview of global regulations, including GDPR, EU AI Act, and CCPA.
Components of an effective AI compliance framework and common challenges.

Module 4: Risk Management for AI Systems

How to identify and mitigate risks in AI development.
Managing data privacy and security in AI systems.

Module 5: Bias and Fairness in AI Models

Techniques for identifying and reducing bias in AI algorithms.
Best practices for fairness in data collection, model training, and deployment.

Module 6: Transparency and Explainability in AI

The role of Explainable AI (XAI) and why it’s important.
Regulatory requirements for AI transparency and interpretability.

Module 7: AI Accountability and Responsibility

Assigning responsibility in AI development.
Understanding Human-in-the-Loop vs. fully automated systems.

Module 8: Privacy and Data Protection in AI

Data privacy regulations such as GDPR and HIPAA.
Techniques like differential privacy and federated learning to safeguard user data.

Module 9: Auditing and Monitoring AI Systems

AI model auditing practices and continuous compliance monitoring.
Lifecycle management for AI systems to ensure they remain compliant.

Module 10: AI Governance in Practice

How to build governance teams and AI ethics boards.
Implementing AI governance frameworks and policies in organizations.

Module 11: Regulatory Challenges and Future of AI Governance

Emerging trends in AI regulation and governance.
Case studies on navigating regulatory changes and ensuring long-term compliance.

Participant Eligibility

Data Scientists and AI Professionals working on AI systems.
Legal Experts and Compliance Officers managing AI-related regulations.
Project Managers overseeing AI development in regulated industries.

Program Outcomes

AI Governance Mastery: Gain expertise in managing the governance and compliance of AI systems.
Ethical AI Development: Learn to create AI systems that are fair, transparent, and free of bias.
Risk Management Skills: Acquire the skills to identify and mitigate risks in AI deployment.
Regulatory Knowledge: Build proficiency in navigating global AI regulations and data privacy laws.

Program Deliverables

e-LMS Access: Full access to all course materials and resources online.
Real-Time Projects: Work on projects related to AI governance and compliance frameworks.
Project Guidance: Mentorship and guidance for dissertation work and real-world applications.
Paper Publication Opportunity: Support for publishing research papers on AI governance and ethics.
Final Examination: Certification based on performance in mid-term assignments and final project submissions.
e-Certification: Certification awarded upon successful program completion.

Future Career Prospects

AI Governance Officer: Oversee and manage AI governance strategies within organizations.
AI Compliance Specialist: Ensure compliance with AI regulations and legal frameworks.
Ethical AI Consultant: Advise businesses on ethical AI development and deployment.
AI Risk and Compliance Manager: Manage risk and regulatory adherence for AI systems.
AI Policy Analyst: Work on developing AI-specific policies and guidelines for organizations.
Data Privacy Officer: Safeguard user data and ensure privacy compliance in AI systems.

Job Opportunities

Corporations: Companies adopting AI governance frameworks to ensure ethical compliance.
Public and Private Organizations: Entities navigating AI regulations and legal requirements.
Startups: Companies integrating AI governance to build trust and ensure accountability in their AI products.

MODE	Online/ e-LMS
TYPE	Self Paced
LEVEL	Moderate
DURATION	3 Weeks

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AI Governance and Compliance Course – 3 Weeks

Aim

Program Objectives

Program Structure

Module 1: Introduction to AI Governance and Compliance

Module 2: Ethics in AI Development and Deployment