A Complete Course - Ai Governance And Ethics (Aige)

Prepare you and your team to implement AI Governance and Ethics policy in your firm

What you'll learn

Understand the core ethical principles and governance frameworks for AI.

Apply ethical considerations to the development and deployment of AI systems

Identify and manage risks associated with AI technologies

Develop and implement AI Governance and Ethical Frameworks

Apply structured steps of implementing AI Governance and Ethics in an Organization

Requirements

You will learn everything about AI Governance and Ethics practices.

Description

The AI Governance and Ethics (AIGE) course is designed to equip you and your team  with a comprehensive implementation plan to apply AI governance and ethical practices in the organisations. This training course starts with an understanding of the ethical, legal, and governance challenges associated with artificial intelligence (AI) technologies. From the understanding on those opportunities and risks of using AI, you will learn the 7 principles of developing the AI Governance & Ethics. Using these 7 principles, you can then develop an AI Governance & Ethics Framework for your organisation. This framework is the guide for your organisation to implement 14 structured steps to develop a successful AI governance and ethics culture in your organisation. Course Objectives:Ethical Foundations: You will explore the fundamental ethical principles that underpin AI development and deployment, such as fairness, transparency, accountability, and privacy. The course will delve into case studies illustrating ethical dilemmas in AI, fostering critical thinking and ethical decision-making skills.Governance Frameworks: The course will examine various AI governance models and regulatory frameworks adopted globally. You will analyze how different countries and organizations approach AI governance, including market-based, participatory, flexible, and deregulated models​.Legal and Policy Implications: A significant portion of the course is dedicated to understanding the legal landscape surrounding AI. This includes discussions on intellectual property rights, data protection laws, liability issues, and international regulations. You will learn how to navigate and influence policy-making processes related to AI technologies​ Risk Management and Compliance: The course will cover risk management strategies and compliance requirements for AI systems. This includes assessing potential risks, developing mitigation strategies, and ensuring that AI systems adhere to ethical guidelines and regulatory standards​.Stakeholder Engagement: You will study the importance of engaging diverse stakeholders, including policymakers, industry leaders, researchers, and the public, in the AI governance process. This section emphasizes collaborative approaches to developing and implementing AI governance policies.Practical Applications: Through projects and case studies, you will apply their knowledge to real-world scenarios. They will develop governance plans and ethical guidelines for AI projects, preparing them for roles in academia, industry, and government.Learning Outcomes. By the end of the course, you will be able to:Critically evaluate the ethical implications of AI technologies.Understand and apply various AI governance models.Navigate the legal and regulatory landscape of AI.Develop and implement effective risk management and compliance strategies.Engage with stakeholders to foster responsible AI governance.

Overview

Section 1: An Overview of AI Governance and Ethics (AIGE)

Lecture 1 An Overview of AIGE

Lecture 2 Why Learning AIGE? Ethical and Governance Challenges in AI

Section 2: Module 1: Introduction to AI Governance and Ethics

Lecture 3 Unit 1.1 Understanding Artificial Intelligence and Its Types

Lecture 4 Unit 1.2 Opportunities and Risks of Using AI Technology

Lecture 5 Unit 1.3 Why AI Governance & Ethics is Important to Organization & Individual

Lecture 6 Unit 1.4 AI Governance and Ethical Framework Globally

Section 3: Module 2: Seven Principles of AI Governance & Ethics

Lecture 7 Unit 2.1 Principle 1. Transparency and Explainability of AI systems.

Lecture 8 Unit 2.2 Principle 2. Fairness and Equity.

Lecture 9 Unit 2.3 Principle 3. Security and Safety. Ensuring the safety of AI systems.

Lecture 10 Unit 2.4 Principle 4. Human-Centricity.

Lecture 11 Unit 2.5 Principle 5.Privacy and Data Governance

Lecture 12 Unit 2.6 Principle 6.Accountability and Integrity

Lecture 13 Unit 2.7 Principle 7. Robustness and Reliability

Section 4: Module 3: AI Governance & Ethics Framework

Lecture 14 Unit 3.1 Internal governance structures and measures

Lecture 15 Unit 3.2 Determining level of human involvement in AI-augmented decision-making

Lecture 16 Unit 3.3 Operations Management

Lecture 17 Unit 3.4 Stakeholder interaction and communication

Section 5: Module 4: 14 Structured Steps of Implementation of AIGE

Lecture 18 Unit 4.1 Step 1 Establish a Clear Vision and Objectives

Lecture 19 Unit 4.2 Step 2 Form an AI Governance and Ethics Committee

Lecture 20 Unit 4.3 Step 3 Develop Ethical AI Policies and Guidelines

Lecture 21 Unit 4.4 Step 4 Conduct Regular Training and Awareness Programs

Lecture 22 Unit 4.5 Step 5 Implement Robust Data Management Practices

Lecture 23 Unit 4.6 Step 6 Incorporate Ethical Considerations in AI Development

Lecture 24 Unit 4.7 Step 7 Set Up Monitoring and Evaluation Mechanisms

Lecture 25 Unit 4.8 Step 8 Establish a Reporting and Accountability Framework

Lecture 26 Unit 4.9 Step 9 Engage Stakeholders and Foster Collaboration

Lecture 27 Unit 4.10 Step 10 Ensure Regulatory Compliance

Lecture 28 Unit 4.11 Step 11 Promote Transparency and Communication

Lecture 29 Unit 4.12 Step 12 Conduct Regular Audits and Reviews

Lecture 30 Unit 4.13 Step 13 Foster a Culture of Ethical AI

Lecture 31 Unit 4.14 Step 14 Develop Contingency Plans

Leaders in organisation (Directors/CEO/Managers/Heads),Anyone wants to upskill/reskill his/her knowledge/skills in applying governance and ethics while using AI