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Introduction

As artificial intelligence (AI) continues to shape industries and societies, it is essential to address the ethical considerations and policy implications of its adoption.

This course provides a comprehensive understanding of the principles of AI ethics and the frameworks required to create and implement sound policies.

Participants will explore challenges such as bias, transparency, accountability, and data privacy while learning to design ethical AI systems that align with organizational goals and societal values.

This course ensures participants gain practical knowledge and actionable insights, empowering them to navigate the complexities of AI ethics and policy confidently.

Objectives

By the end of this course, participants will be able to:

Understand the foundational principles of AI ethics and their importance in the AI lifecycle.
Identify and address ethical challenges such as bias, fairness, and transparency.
Develop policies and guidelines to ensure ethical AI practices within organizations.
Analyze real-world case studies of AI ethics and policy applications.
Foster collaboration between stakeholders to implement effective AI governance.

Who Should Attend?

This course is ideal for:

Policy makers, regulators, and government officials.
Business leaders, managers, and decision-makers involved in AI projects.
Data scientists, AI engineers, and IT professionals.
Legal advisors and compliance officers.
Academics and researchers interested in AI ethics and policy.

Training Method

Program Support

Course Agenda