Association for Computing Machinery (ACM) Courses

Explainability

Explore cutting-edge research on explainable AI, including actionable recourse, model reconstruction, diverse explanations, and human-AI comparisons in deception detection.

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

Law and Policy

Explore ethical and legal challenges in AI, including anthropomorphism, explainability, racial categorization, and algorithmic fairness. Gain insights from experts on crucial issues shaping the future of technology and society.

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

Content Distribution

Exploring algorithmic biases in content distribution, including microtargeting, truth perception, polarization control, and recommender systems' effects on online news environments.

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

Fairness Methods

Explores advanced fairness methods in machine learning, including causal awareness, soft-to-hard decision making, and deep weighted averaging classifiers, to address bias and promote equitable AI systems.

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

Profiling and Representation

Explores bias in semantic representations, fair crowdsourced recommendations, profiling potential of computer vision, and rich subgroup fairness in machine learning. Discusses ethical implications in AI and data science.

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

Framing and Abstraction

Explore problem formulation, fairness in testing, and sociotechnical systems in machine learning. Gain insights on ethical considerations and challenges in AI development and implementation.

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

Translation Tutorial - People Analytics and Employment Selection

Explore the use of machine learning in employment decisions, covering legal aspects, discrimination theories, and impact measurement of people analytics tools in hiring processes.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Conference Talk

Quantifying and Reducing Gender Stereotypes in Word Embeddings

Hands-on exploration of gender biases in word embeddings, quantifying stereotypes, and implementing techniques to reduce bias in natural language processing applications.

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

Understanding the Context and Consequences of Pre-trial Detention

Explore the impact of pre-trial detention decisions through legal insights, risk assessment tools, and personal experiences. Gain a deeper understanding of criminal justice data beyond statistics.

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

Translation Tutorial - A Shared Lexicon for Research in Human-Centered Software Systems

Explore key terms in fairness, accountability, and transparency in algorithmic systems. Learn how different disciplines interpret these concepts to improve cross-disciplinary communication and research in human-centered software.

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

Auditing Black-box Models

Learn techniques to audit and interpret complex machine learning models, focusing on detecting unintended dependencies and biases using a specialized software library through hands-on examples.

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

21 Definitions of Fairness and Their Politics

Explore 21 mathematical definitions of fairness in machine learning, their embedded values, and implications for ethics and policy. Gain insights into the complexities of algorithmic fairness and its connection to theories of justice.

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

Fairness in Machine Learning - Lessons from Political Philosophy

Explore the intersection of machine learning fairness and political philosophy, drawing insights to address ethical challenges in AI decision-making systems.

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

Case Study of Child Maltreatment Hotline Screening Decision Support

Explore algorithmic decision-making in child welfare hotline screening, examining ethical implications and real-world impact through a comprehensive case study analysis.

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

Mixed Messages - The Limits of Automated Social Media Content Analysis

Explore limitations of automated content analysis on social media, examining accuracy, bias, and implications for free expression and content moderation policies.

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