Ementorhub

What you'll learn

Understand the sources and trade-offs of bias in both human and AI systems, and learn strategies for mitigating these biases in AI implementations.

Explore ethical frameworks for responsible AI, focusing on transparency, fairness, and accountability, and gain knowledge of laws surrounding AI.

Analyze real-world AI case studies to identify strengths and weaknesses in AI adoption, and understand the considerations for managing AI projects.

Skills you'll gain

Risk Mitigation

Law, Regulation, and Compliance

Compliance Management

Diversity Awareness

Social Sciences

Risk Analysis

Accountability

Algorithms

Data Ethics

Ethical Standards And Conduct

Artificial Intelligence and Machine Learning (AI/ML)

Business Ethics

Strategic Decision-Making

There are 4 modules in this course

This course provides practical insights into responsible AI development, emphasizing both ethical decision-making and effective risk management. By the end of the course, learners will be equipped to lead AI projects that balance innovation with accountability, ensuring AI systems are fair, transparent, and sustainable. This unique combination of theoretical knowledge and real-world applications makes the course invaluable for anyone aiming to lead in the AI field.

Bias (Human and Machine)

Responsible AI

Case Studies