PickAClass · AI, Tech & Engineering · AI & Machine Learning

AI Ethics and Governance

Understand the societal impact of artificial intelligence. Learn about fairness, accountability, transparency, and bias in AI systems, and explore principles for responsible development.

AI Ethics and Governance

AI Alignment: Why Artificial Intelligence Can Fail and How to Fix It

Synthetic Data Generation for Responsible AI

Responsible AI: Principles and Ethical Frameworks

Evaluating AI Fairness: A Guide to Predictive Parity

AI Fairness Fundamentals: Identifying and Mitigating Algorithmic Bias

Building Trust in AI Decisions: Ethics, Bias, and Transparency

AI Safety, Security, and Governance for Generative AI on AWS

AI Project Success: Identifying Red Flags and Green Flags

Engineering Fair AI: Bias Detection and Mitigation

AWS AI Security and Governance Fundamentals

Deepfakes: Understanding Challenges and Ethical Implications

Reweighing Techniques for Fair AI Models

Predictive Faithfulness: Evaluating AI Explanations

Data Privacy Foundations for Responsible AI

Responsible AI: Data Privacy and Security Foundations

Preserving Data Privacy in AI Systems

Responsible AI Development: Core Principles and Practices

Explainable AI: Demystifying Black-Box Models with LIME and SHAP

AI Bias Mitigation: Building Fair and Ethical Machine Learning Models

Responsible AI: Guidelines for Fairness, Transparency, and Safety

Demographic Parity: Evaluating and Designing Fair AI Models

Securing AI Systems: Data Safety and Privacy Fundamentals

Measuring AI Fairness: Equality of Opportunity and Recall Optimization

AI in Government: Ethical Policy Making and Public Sector Autonomy