Association for Computing Machinery (ACM) Courses

Experimentation with Fairness-Aware Recommendation Using Librec-Auto

Explore fairness-aware recommendation systems using librec-auto, covering stakeholder concerns, diversity, individual fairness, and practical implementation techniques.

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

Translation Tutorial - Engineering for Fairness - How a Firm Conceptual Distinction between Unfairness and Bias Makes it Easier to Address Un-Fairness

Explore the distinction between bias and fairness in AI, and learn how to engineer for fairness through value-driven decision processes and organizational practices.

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

Implications Tutorial - Building Community Governance of Risk Assessment

Exploring community-driven auditing of pretrial risk assessment algorithms, addressing concerns and developing socially informed validation processes for fair decision-making frameworks.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Conference Talk

Learning Algorithms

Exploration of fairness in machine learning algorithms, focusing on disparity assessment, classification with fairness constraints, and comparative studies of fairness-enhancing interventions.

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

Beyond Algorithmic Scapegoating - Fostering Cultures of Algorithmic Responsibility Through Administrative Law and Design

Explore algorithmic responsibility in administrative law and design, addressing challenges, interventions, and strategies for fostering public participation in technology governance.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Conference Talk

Systems and Measurement

Exploring online A/B testing, data sharing ethics, fairness in programming, and model performance reporting. Insights into cutting-edge research on responsible AI and data science practices.

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

Fairness, Rankings, and Behavioral Biases

Exploring fairness in ranking systems, behavioral biases, and interventions to improve diversity and equity in selection processes through mathematical modeling and analysis.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Conference Talk

The Cost of Fairness in Binary Classification

Explore the cost of fairness in binary classification, analyzing risk, optimal classifiers, and fairness frontiers with implications for stereotypes and decision-making.

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

Gender Shades - Intersectional Accuracy Disparities in Commercial Gender Classification

Explore intersectional accuracy disparities in commercial gender classification systems, examining biases and implications for AI fairness and ethics in facial recognition technology.

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

Analyze, Detect and Remove Gender Stereotyping from Bollywood Movies

Explore techniques to identify and mitigate gender stereotypes in Bollywood cinema, focusing on data analysis, detection methods, and strategies for promoting more balanced representations.

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

Meaningful Information and the Right to Explanation

Explore the right to explanation in automated decision-making, focusing on GDPR's Article 22 and its implications for AI systems and data protection regulations.

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

Interpretable Active Learning

Explore interpretable active learning techniques for machine learning models, focusing on transparency and understanding of model decisions in real-world applications.

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

Interventions over Predictions - Reframing the Ethical Debate for Actuarial Risk Assessment

Reframing ethical debates on actuarial risk assessment, focusing on interventions over predictions. Explores historical context, machine learning implications, and causal inference in risk evaluation.

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

Potential for Discrimination in Online Targeted Advertising

Explores potential discrimination in online targeted advertising, focusing on Facebook's ad targeting mechanisms and their implications for sensitive attributes and audience selection.

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

Towards Intersectional Feminist and Participatory ML - A Case Study in Supporting Feminicide Counterdata Collection

Explore intersectional feminist approaches to machine learning through a case study on feminicide data collection, addressing biases and promoting participatory methods.

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