Association for Computing Machinery (ACM) Courses

Health, Technology, and Race

Explore the intersections of health, technology, and race with Yeshimabeit Milner's insightful keynote, addressing crucial societal issues and their impact on modern healthcare and technological advancements.

• YouTube
• 59 minutes
• Self-Paced
• Conference Talk

Detecting Discriminatory Risk through Data Annotation Based on Bayesian Inferences

Explore Bayesian inference techniques for detecting discriminatory risk in data annotation, enhancing fairness and accountability in machine learning systems.

• YouTube
• 21 minutes
• Self-Paced
• Conference Talk

Value Cards - An Educational Toolkit for Teaching Social Impacts of Machine Learning through Deliberation

Explore an innovative educational toolkit using value cards to teach the social impacts of machine learning through deliberation and critical thinking.

• YouTube
• 21 minutes
• Self-Paced
• Conference Talk

TILT - A GDPR-Aligned Transparency Information Language and Toolkit for Practical Privacy Engineering

Explore GDPR-aligned transparency tools for privacy engineering with TILT, a language and toolkit designed to enhance practical implementation of data protection regulations.

• YouTube
• 20 minutes
• Self-Paced
• Conference Talk

Fairness, Equality, and Power in Algorithmic Decision-Making

Explore the ethical implications of algorithmic decision-making, focusing on fairness, equality, and power dynamics in AI systems and their societal impact.

• YouTube
• 20 minutes
• Self-Paced
• Conference Talk

Fair Classification with Group-Dependent Label Noise

Explore group-dependent label noise in fair classification, addressing challenges and proposing solutions for improved algorithmic fairness in machine learning models.

• YouTube
• 21 minutes
• Self-Paced
• Conference Talk

Socially Fair k-Means Clustering

Explore socially fair k-means clustering algorithms, addressing fairness in machine learning and data analysis. Learn about innovative approaches to balance accuracy and social equity in clustering techniques.

• YouTube
• 21 minutes
• Self-Paced
• Conference Talk

Designing Accountable Systems

Explore strategies for creating transparent and responsible technological systems, focusing on accountability in design and implementation.

• YouTube
• 20 minutes
• Self-Paced
• Conference Talk

Algorithmic Fairness in Predicting Opioid Use Disorder using Machine Learning

Explore machine learning's role in predicting opioid use disorder, focusing on algorithmic fairness and ethical considerations in healthcare applications.

• YouTube
• 20 minutes
• Self-Paced
• Conference Talk

Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information

Explore methods for assessing ML model fairness with limited data, addressing challenges in uncertain and incomplete information scenarios.

• YouTube
• 20 minutes
• Self-Paced
• Conference Talk

Biases in Generative Art - A Causal Look from the Lens of Art History

Explore biases in generative art through an art history lens, examining causal relationships and their impact on AI-generated artwork. Gain insights into the intersection of technology and artistic expression.

• YouTube
• 22 minutes
• Self-Paced
• Conference Talk

Allocating Opportunities in a Dynamic Model of Intergenerational Mobility

Explore intergenerational mobility dynamics and opportunity allocation in this research presentation, examining societal impacts and potential policy implications for fairness and equity.

• YouTube
• 22 minutes
• Self-Paced
• Conference Talk

Reasons, Values, Stakeholders - A Philosophical Framework for Explainable AI

Explore a philosophical framework for explainable AI, examining the interplay between reasons, values, and stakeholders to enhance transparency and ethical considerations in artificial intelligence systems.

• YouTube
• 21 minutes
• Self-Paced
• Conference Talk

AI Explainability 360

Comprehensive tutorial on AI explainability, covering techniques, tools, and applications. Learn to implement transparent and interpretable machine learning models for ethical AI development.

• YouTube
• 2 hours 58 minutes
• Self-Paced
• Conference Talk

AI Explainability 360 - First Half of the Tutorial

Explore AI Explainability 360 toolkit: understand machine learning models, enhance transparency, and gain insights into AI decision-making processes for more responsible and ethical AI applications.

• YouTube
• 1 hour 32 minutes
• Self-Paced
• Free Video