IEEE Ethics for AI System Design

Description

Artificial Intelligence (AI) is revolutionizing industries like healthcare, finance, and education by processing vast amounts of data, identifying patterns, and making decisions traditionally requiring human intelligence. As AI becomes more embedded in daily life, ethical oversight is crucial to prevent issues like bias, privacy loss, and misuse in sensitive areas.

Objectives

This course explores key ethical challenges, emphasizes the importance of integrating ethical frameworks in AI design, and offers practical solutions for developing responsible AI systems.

Course Topics

Challenges and the Need for Ethics in Systems
Principles of Applying Ethics in System Design & Development
Key Roles in Ethical Value Engineering Project Teams
Concept of Operations and Context Exploration Process
Ethical Value Elicitation and Prioritization Process
Ethical Requirements Definition Process
Ethical Risk-Based Design Process
Transparency Management Process
Use case and Summary

Why You Should Enrol

To gain the skills to address the ethical issues in AI.
To learn to make responsible decisions that prevent bias, privacy loss, and misuse.
To understand and apply ethical principles in AI design and development.
Contribute to the development of AI systems that benefit society.

How Will This Course Help You

Equip yourself with the knowledge to make ethical and responsible AI decisions.
Stay ahead of legal and societal expectations by understanding ethical standards.
Identify and mitigate ethical risks, ensuring your AI projects are fair and unbiased.
Gain the ability to think leader in AI ethics, opening new career opportunities.

Who Can Enrol

Developers, data scientists, and engineers seeking to understand the ethical implications of their work.
Those studying computer science, or related fields who want to explore the ethical dimensions of AI.
Enthusiasts interested in learning about AI ethics and its impact on society

Prerequisites

Familiarity with fundamental AI concepts and technologies.
Ability to critically analyze and evaluate ethical dilemmas.
While not always required, a background in computer science or related fields can be beneficial

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