Association for Computing Machinery (ACM) Courses

Productivity and Power - The Role of Technology in Political Economy

Explore the intersection of technology, productivity, and political power with Harvard Law professor Yochai Benkler in this thought-provoking keynote address from FAT*2020.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Conference Talk

Policy 101 - An Introduction to Participating in the Policymaking Process

Learn to engage effectively in policymaking processes, focusing on technology policy. Gain insights into advocacy strategies and understanding legislative procedures for impactful participation.

• YouTube
• 1 hour 27 minutes
• On-Demand
• Conference Talk

Probing ML Models for Fairness with the What-if Tool and SHAP

Explore ML model fairness using What-if Tool and SHAP. Learn to analyze and visualize model behavior, detect biases, and understand feature importance for responsible AI development.

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

Explainable AI in Industry - Practical Challenges and Lessons Learned

Explore practical challenges and industry insights on implementing explainable AI, featuring expert perspectives from leading tech companies and researchers.

• YouTube
• 1 hour 27 minutes
• On-Demand
• Conference Talk

Implications Tutorial - Reasoning About Subtle Biases in Data

Explore subtle biases in data-driven decision support tools, their impact on reliability, and strategies to address dataset shifts for improved generalization and robustness in real-world applications.

• YouTube
• 1 hour 39 minutes
• On-Demand
• Conference Talk

Challenges of Incorporating Algorithmic Fairness into Industry Practice

Explore challenges in implementing algorithmic fairness in industry, covering stakeholder involvement, data gathering, resourcing, and prioritizing tradeoffs. Gain insights into practical approaches and potential pitfalls.

• YouTube
• 1 hour 36 minutes
• On-Demand
• Conference Talk

Toward a Theory of Race for Fairness in Machine Learning

Exploring critical race theory concepts for machine learning practitioners to develop a nuanced understanding of race in algorithmic fairness, through discussions and interactive activities.

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

Parole Denied - One Man's Fight Against a COMPAS Risk Assessment

Exploring the impact of COMPAS risk assessment in prisons, focusing on Question 19's influence on parole decisions and the challenges faced by inmates in addressing algorithmic bias.

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

A New Era of Hate

Exploring the evolution of hate movements online, their impact, and the need for improved tech company enforcement measures to combat digital propaganda and its real-world consequences.

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

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

Economic Models II

Explores strategic manipulation, fair decision-making, and affirmative action in economic models. Discusses disparate effects, social costs, and downstream impacts on equality and fairness in algorithmic systems.

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

Empirical Studies

Exploration of fairness in risk assessments, racial bias in health algorithms, ethical issues in social media mental health inference, and China's social credit system behavior definitions.

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

Economic Models I

Exploration of fair machine learning through economic models, addressing equality of opportunity, population-level signaling, competitive equilibrium, and fair allocation algorithms.

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

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
• On-Demand
• 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
• On-Demand
• Conference Talk