Algorithmic Fairness Courses and Certifications

Paul G. Allen School

The Ethical Algorithm - Designing Socially Aware AI

Exploring ethical challenges in AI and machine learning, including data privacy, algorithmic bias, and decision-making transparency. Discusses recent research on socially responsible algorithm design.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Video

Uncertainty in Artificial Intelligence

Algorithms in Unjust Systems

Explore the impact of algorithms in unjust systems with Alexandra Chouldechova's keynote talk at UAI 2023, addressing critical issues in AI and fairness.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

Cooperative AI Foundation

Fostering Cooperation via Fairness in AI Systems

Explore fairness in AI decision-making, addressing efficiency, elicitation, and incentives. Learn theoretical foundations for fairness in voting, resource allocation, and machine learning.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

Fairness in Algorithmic Decision Making for Financial Services

Explore fairness in AI algorithms for financial services, addressing bias detection and mitigation to ensure ethical decision-making.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

Black Loans Matter: Algorithms for Racial Justice in Financial Services

Explore AI fairness in lending, focusing on subgroup discrimination and proposing Distributionally Robust Fairness with SenSR algorithm to combat racial bias in financial services.

• YouTube
• 39 minutes
• On-Demand
• Free Video

Centre for Networked Intelligence, IISc

Fairness in Food Delivery Platforms - Ensuring Equitable Income Distribution and Customer Satisfaction

Explore algorithmic solutions for fair income distribution in food delivery platforms, focusing on innovative approaches like FAIRFOODY and WORK4FOOD to balance worker earnings and platform efficiency.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Video

Introduction to the Theory of Computing - Stanford

Explore fundamental concepts of theoretical computer science, including automata, computability, and complexity theory, with practical applications and algorithmic fairness.

• YouTube
• 20 hours
• On-Demand
• Free Video

Fairness in Representation Learning - Natalie Dullerud

Explore fairness in deep metric learning, evaluating bias in representations and its impact on minority subgroups. Learn about a novel approach to mitigate bias and improve fairness in machine learning models.

• YouTube
• 55 minutes
• On-Demand
• Free Video

Ethics in AI Design

Learn how to incorporate ethics into the development and implementation of AI systems.

• edX
• 7 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

Ulam Lectures - Cris Moore - Limits of Computers in Science and Society Part 1

Explore computational limits, problem complexity, and algorithmic challenges in science and society. From easy puzzles to impossible problems, delve into the nature of computation and its societal impact.

• YouTube
• 1 hour 26 minutes
• On-Demand
• Free Video

Fairness in Machine Learning: Tasks, Experiences, and Performance Measures

Explore fairness in machine learning, focusing on risk assessment tasks, data representation challenges, and performance measures. Learn about new findings and alternative approaches to promote equitable AI systems.

• YouTube
• 1 hour 10 minutes
• On-Demand
• Free Video

Biais et discrimination en IA

Explorez les aspects techniques et sociaux des biais, de la discrimination et de l'équité dans l'IA, en mettant l'accent sur les impacts liés au sexe, à la race et à la situation socio-économique dans les modèles prédictifs.

• edX
• 5 weeks, 19-21 hours a week
• On-Demand
• Free Online Course (Audit)

Les coulisses des systèmes de recommandation

Exploration approfondie des systèmes de recommandation, couvrant l'apprentissage automatique, l'évaluation, la modélisation avancée, les bandits contextuels, le classement et l'équité algorithmique.

• edX
• 3 weeks, 29-31 hours a week
• On-Demand
• Free Online Course (Audit)

NPTEL;  Indian Institute of Information Technology, Bangalore

Towards an Ethical Digital Society: From Theory to Practice

Explore ethical considerations in AI, digital data, and infrastructures through a multidimensional lens. Gain practical tools for addressing ethical challenges in technology design and implementation.

• Swayam
• 4 weeks
• On-Demand
• Free Online Course

Strange Loop Conference

Privacy Governance and Explainability in ML - AI

Explore privacy governance in ML/AI, addressing GDPR compliance, explainability challenges, bias identification, and strategies for enhancing consumer trust in complex data-driven decision-making processes.

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