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AI Ethics & Responsible Development

Building Ethical AI Systems

8 hours
5,600 students
4.9/5.0
Intermediate

Course Overview

Learn about AI ethics, bias, fairness, and responsible AI development practices. Essential for anyone working with AI systems.

What You'll Learn

Understand key AI ethics principles
Identify and mitigate AI bias
Implement fairness in AI systems
Design responsible AI governance
Navigate ethical dilemmas in AI development
Create ethical AI policies and procedures

Course Curriculum

1

AI Ethics Principles

Learn the fundamental principles of AI ethics.

1 hour
6 lessons
Fairness and non-discrimination
Transparency and explainability
Privacy and data protection
Human autonomy and oversight
Robustness and safety
Accountability and responsibility

Resources included:

Ethics frameworkPrinciples checklistCase studies
2

Understanding and Mitigating Bias

Learn to identify, understand, and mitigate bias in AI systems.

2 hours
6 lessons
Types of AI bias
Sources of bias in data
Algorithmic bias detection
Bias mitigation strategies
Fairness metrics and evaluation
Continuous monitoring

Resources included:

Bias detection toolsMitigation strategiesEvaluation frameworks
3

AI Governance and Policy

Learn about AI governance frameworks and policy development.

2 hours
6 lessons
AI governance frameworks
Regulatory landscape
Policy development
Risk assessment
Compliance and auditing
Stakeholder engagement

Resources included:

Governance templatesPolicy examplesCompliance checklists
4

Implementing Ethical AI

Practical implementation of ethical AI practices.

3 hours
6 lessons
Ethical AI development lifecycle
Team training and awareness
Ethical review processes
Monitoring and evaluation
Incident response
Continuous improvement

Resources included:

Implementation guideTraining materialsProcess templates

Course Details

Duration8 hours
LevelIntermediate
Students5,600
Rating
4.9
UpdatedOctober 2024

Instructor

DMS

Dr. Maria Santos

AI Ethics Researcher

Prerequisites

  • Basic understanding of AI and machine learning
  • Interest in ethical technology development
  • No specific technical background required
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