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.

Who this course is for

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

https://www.udemy.com/course/a-complete-course-ai-governance-and-ethics-aige/