Group Fairness Courses and Certifications

Simons Institute

The Limits of Group Fairness and Predictive Multiplicity

Explore information-theoretic approaches to group fairness and predictive multiplicity in machine learning, examining their limitations and implications for trustworthy AI systems.

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

GERAD Research Center

Dynamic Pricing with Fairness Constraints - Coffee Talk

Explore dynamic pricing strategies with fairness constraints, addressing price and demand fairness. Learn algorithms for optimal regret performance in personalized pricing scenarios.

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

Institute for Pure & Applied Mathematics (IPAM)

Cynthia Dwork - Group Fairness and Individual Fairness - IPAM at UCLA

Explore group and individual fairness in algorithmic decision-making, examining their definitions, advantages, and limitations in the context of ethical AI and machine learning applications.

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

Association for Computing Machinery (ACM)

Group Fairness - Independence Revisited

Explore the concept of group fairness and independence in algorithmic decision-making, examining its implications, limitations, and potential improvements for ethical AI systems.

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

Institute for Pure & Applied Mathematics (IPAM)

A Multi-Group Approach to Algorithmic Fairness - IPAM at UCLA

Explore multi-group approaches to algorithmic fairness, focusing on predictive algorithms, discrimination concerns, and calibration techniques for unbiased risk assessment across diverse populations.

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

Can Algorithms Bend the Arc Toward Justice?

Explore algorithmic fairness, intersectionality, and the challenges of balancing accuracy with equity in machine learning and public safety applications.

• YouTube
• 1 hour 25 minutes
• On-Demand
• Free Video

Association for Computing Machinery (ACM)

Translation Tutorial - A History of Quantitative Fairness in Testing

Explores historical quantitative fairness definitions in education and hiring, translating 1960s-70s concepts to modern machine learning notation and highlighting challenges for current fairness research.

• YouTube
• 1 hour 24 minutes
• On-Demand
• Conference Talk

Association for Computing Machinery (ACM)

Decoupled Classifiers for Group-Fair and Efficient Machine Learning

Explore group-fair machine learning with decoupled classifiers, balancing efficiency and fairness in algorithmic decision-making. Gain insights into innovative approaches for ethical AI development.

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

Association for Computing Machinery (ACM)

Measurement and Fairness

Explore the intersection of measurement and fairness in computing, examining reliability, validity, and group fairness concepts to enhance ethical decision-making in technology.

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

Association for Computing Machinery (ACM)

Removing Spurious Features Can Hurt Accuracy and Affect Groups Disproportionately

Explore the impact of removing spurious features on model accuracy and group fairness in machine learning, examining potential unintended consequences and ethical implications.

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

Association for Computing Machinery (ACM)

Chasing Your Long Tails - Differentially Private Prediction in Health Care Settings

Explore differential privacy in healthcare ML, addressing unique challenges, extreme tradeoffs, and fairness considerations for underrepresented groups in medical datasets.

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

Association for Computing Machinery (ACM)

One Label, One Billion Faces - Usage and Consistency of Racial Categories in Computer Vision

Explores racial categorization in computer vision, examining usage, consistency, and implications for fairness in AI systems. Highlights challenges and potential biases in facial recognition technology.

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

Uncertainty in Artificial Intelligence

Sequential Learning in Artificial Intelligence - Oral Session 4

Explore cutting-edge research in sequential learning, covering robust reinforcement learning, online learning in MDPs, fairness in predict-then-optimize settings, and constrained POMDPs.

• YouTube
• 1 hour 33 minutes
• On-Demand
• Free Video

Broad Institute

AI in Radiology: Pattern Detection, Fairness, and Clinical Applications - Lecture Series

Explore AI's ability to detect hidden patterns in X-ray images and its implications for radiologists. Delve into fairness considerations in chest X-ray diagnosis models and their potential impacts on clinical practice.

• YouTube
• 1 hour 34 minutes
• On-Demand
• Free Video

Harvard CMSA

Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values

Explore how decision tree algorithms can achieve fair machine learning predictions when dealing with missing data values, without requiring traditional data imputation methods.

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