Association for Computing Machinery (ACM) Courses

Towards a Multi-Stakeholder Value-Based Assessment Framework for Algorithmic Systems

Explore a value-based assessment framework for algorithmic systems, considering multiple stakeholders and their perspectives on ethical and societal impacts.

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

Bias in Automated Speaker Recognition

Explore the critical issue of bias in automated speaker recognition systems, examining its impact and potential solutions for fairer AI-driven voice technology.

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

REAL ML - Recognizing, Exploring, and Articulating Limitations in Machine Learning Research

Explore key strategies for identifying, investigating, and communicating limitations in machine learning research to enhance transparency and foster responsible AI development.

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

Accountable Datasets - The Politics and Pragmatics of Disclosure Datasets

Explore the political and practical aspects of disclosure datasets, examining their role in accountability and transparency in data-driven decision-making processes.

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

Characterizing Properties and Trade-offs of Centralized Delegation Mechanisms in Liquid Democracy

Explore centralized delegation mechanisms in liquid democracy, analyzing their properties and trade-offs for improved democratic decision-making processes.

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

Are "Intersectionally Fair" AI Algorithms Really Fair to Women of Color? - A Philosophical Analysis

Philosophical examination of AI algorithms' fairness towards women of color, challenging the concept of "intersectional fairness" in artificial intelligence.

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

Limits of Individual Consent and Models of Distributed Consent in Online Social Networks

Explore the limitations of individual consent and alternative models of distributed consent in online social networks, examining ethical implications and potential solutions.

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

Treatment Effect Risk - Bounds and Inference

Explore bounds and inference in treatment effect risk analysis, focusing on statistical methods for causal inference and risk assessment in experimental studies.

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

People Are Not Coins - Morally Distinct Types of Predictions Necessitate Different Fairness Constraints

Explore ethical implications of AI predictions and fairness constraints in different contexts, examining moral distinctions and their impact on algorithmic decision-making.

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

Four Years of FAccT - A Reflexive, Mixed-Methods Analysis of Research Contributions, Shortcomings, and Future Prospects

Reflexive analysis of FAccT research, examining contributions, limitations, and future directions in computing fairness, accountability, and transparency over four years.

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

Bias Evaluation on Data and Algorithms for Affect Recognition in Faces

Explore bias in facial affect recognition algorithms, examining data and methods to identify and mitigate demographic disparities in emotion detection accuracy.

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

Subverting Machines, Fluctuating Identities - Re-Learning Human Categorization

Explore the complexities of human categorization and identity in the digital age, challenging machine learning assumptions and discussing the fluidity of personal identities.

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

A Review of Taxonomies of Explainable Artificial Intelligence - XAI Methods

Explore various taxonomies of Explainable AI methods, comparing their structures and implications for understanding and categorizing XAI approaches.

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

Justice in Misinformation Detection Systems - An Analysis of Algorithms, Stakeholders, and Potential Harms

Explore the ethical implications and potential harms of misinformation detection algorithms, analyzing stakeholder impacts and justice considerations in AI-driven content moderation.

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

Algorithmic Fairness and Vertical Equity - Income Fairness with Tax Audit Models

Explore income fairness in tax audit models, examining algorithmic fairness and vertical equity principles to enhance equitable tax enforcement strategies.

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