Fairness Courses and Certifications

Practicing Fairness as a Manager

331 ratings at LinkedIn Learning

Learn the importance of practicing fairness as a manager and techniques to help you demonstrate fairness when managing your direct reports.

• LinkedIn Learning
• 45 minutes
• On-Demand
• Free Trial Available

MLOps Essentials: Monitoring Model Drift and Bias

18 ratings at LinkedIn Learning

Learn about the growing field of MLOps and the modeling techniques used to monitor model drift and bias.

• LinkedIn Learning
• 1 hour 5 minutes
• On-Demand
• Free Trial Available

Institute for Advanced Study

How Will Artificial Intelligence Change Ethics? - Pedro Domingos

Explore AI's impact on privacy, fairness, work, ethics, warfare, governance, and social media, examining how it challenges our understanding of human uniqueness.

• YouTube
• 24 minutes
• On-Demand
• Free Online Course

Build Responsible AI Using Error Analysis Toolkit

Explore Microsoft's Error Analysis toolkit for responsible AI, identifying model errors, diagnosing root causes, and building reliable solutions through interpretability, fairness, and debugging techniques.

• YouTube
• 26 minutes
• On-Demand
• Free Online Course

Simons Institute

Generative Adversarial Models for Privacy and Fairness

Explore generative adversarial models for enhancing privacy and fairness in machine learning, covering differential privacy, GANs, and real-world applications in data publishing and encoding.

• YouTube
• 38 minutes
• On-Demand
• Free Online Course

Simons Institute

The Ethical Algorithm

Explore ethical challenges in algorithmic design, focusing on data privacy and fairness. Learn about differential privacy, anonymization techniques, and defining fairness in AI systems.

• YouTube
• 1 hour 29 minutes
• On-Demand
• Free Online Course

Open Data Science

Responsible AI Dashboard - A Tool for Operationalizing Responsible AI

Explore Microsoft's Responsible AI Dashboard, an open-source framework integrating tools for error analysis, interpretability, fairness, and causal decision-making to build reliable and responsible AI products.

• YouTube
• 53 minutes
• On-Demand
• Free Online Course

Live Responsible AI Dashboard: One-Stop Shop for Operationalizing RAI in Practice - Episode 43

Explore the Responsible AI Dashboard, a comprehensive toolkit for ethical machine learning development. Learn about model debugging, fairness assessment, and responsible decision-making in AI systems.

• YouTube
• 27 minutes
• On-Demand
• Free Online Course

The Royal Institution

How Can Machines Learn Human Values? - With Brian Christian

Exploring challenges in AI ethics, including data bias, fairness, and value alignment. Discusses innovative solutions for building more robust and ethically-aligned machine learning systems.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Online Course

Association for Computing Machinery (ACM)

Privacy and Fairness

Explore differential privacy, stochastic optimization, and fairness in algorithms. Learn about new techniques, applications, and the importance of interaction in privacy-preserving machine learning.

• YouTube
• 45 minutes
• On-Demand
• Free Online Course

Association for Computing Machinery (ACM)

Approximately Stable Committee Selection

Explore committee selection methods, focusing on fairness, stability, and approximation algorithms. Learn about preference models, participatory budgeting, and innovative approaches to achieve balanced representation.

• YouTube
• 21 minutes
• On-Demand
• Free Online Course

Alan Turing Institute

Transparency in Algorithmic Decision-Making - Karen Yeung, Birmingham Law School

Exploring transparency in algorithmic decision-making, focusing on legal, ethical, and social implications of AI and automated systems in light of GDPR implementation and its impact on data protection.

• YouTube
• 25 minutes
• On-Demand
• Free Online Course

Alan Turing Institute

The Primitives of Legal Protection Against Data Totalitarianisms - Professor Mireille Hildebrandt

Explore legal protections against data-driven totalitarianism, examining concepts like consent, purpose limitation, and contestability in the context of AI and data processing regulations.

• YouTube
• 43 minutes
• On-Demand
• Free Online Course

USENIX

Formal Methods for Network Performance Analysis

Explores using formal methods for network performance analysis, offering a more exhaustive approach than simulation. Demonstrates effectiveness in analyzing packet scheduling algorithms and generating problematic workloads.

• YouTube
• 15 minutes
• On-Demand
• Conference Talk

USENIX

Shockwave - Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning

Efficient cluster scheduling system for dynamic adaptation in ML training, optimizing fairness and efficiency through market theory and stochastic dynamic programming.

• YouTube
• 18 minutes
• On-Demand
• Conference Talk