Association for Computing Machinery (ACM) Courses

From Optimizing Engagement to Measuring Value

Explore the shift from engagement optimization to value measurement in digital platforms, examining ethical implications and proposing alternative metrics for user experience evaluation.

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

I Agree with the Decision, but They Didn't Deserve This - Future Developers' Perception of Fairness

Explore future developers' perceptions of algorithmic fairness, examining how they evaluate and interpret automated decision-making processes in various contexts.

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

The Effect of the Rooney Rule on Implicit Bias in the Long Term

Explore the long-term impact of the Rooney Rule on implicit bias, examining its effectiveness in promoting diversity and addressing unconscious prejudices in decision-making processes.

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

Building and Auditing Fair Algorithms - A Case Study in Candidate Screening

Explore a case study on building and auditing fair algorithms for candidate screening, focusing on ethical considerations and practical implementation in hiring processes.

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

A Statistical Test for Probabilistic Fairness

Explore a novel statistical test for probabilistic fairness in machine learning, addressing bias and discrimination concerns in algorithmic decision-making systems.

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

Black Feminist Musings on Algorithmic Oppression

Explore the intersection of Black feminism and algorithmic bias, examining how technology perpetuates systemic oppression and discussing potential solutions for a more equitable digital future.

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

BOLD - Dataset and Metrics for Measuring Biases in Open-Ended Language Generation

Explore metrics and datasets for measuring biases in open-ended language generation, focusing on the BOLD approach and its implications for fair AI systems.

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

Formalizing Trust in Artificial Intelligence - Prerequisites, Causes and Goals of Human Trust in AI

Explore the formalization of human trust in AI, examining prerequisites, causes, and goals in this research-focused presentation on the complex relationship between humans and artificial intelligence.

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

Reviewable Automated Decision-Making - A Framework for Accountable Algorithmic Systems

Explore a framework for accountable algorithmic systems, focusing on reviewable automated decision-making to enhance transparency and fairness in AI-driven processes.

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

Towards Accountability for Machine Learning Datasets - Practices from Software Engineering and Infrastructure

Explore practices from software engineering to enhance accountability in machine learning datasets, addressing ethical concerns and improving transparency in AI development.

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

Censorship of Online Encyclopedias - Implications for NLP Models

Explore how censorship of online encyclopedias impacts NLP models, examining political effects and implications for AI development and information access.

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

Fair Clustering via Equitable Group Representations

Explore equitable group representations in fair clustering algorithms, addressing bias and promoting fairness in machine learning applications.

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

Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness

Explore the intersection of machine learning and mechanism design to address algorithmic fairness challenges in AI systems, focusing on innovative approaches and ethical considerations.

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

Operationalizing Framing to Support Multiperspective Recommendations of Opinion Pieces

Explore how framing analysis can enhance recommendation systems for opinion pieces, promoting diverse perspectives and reducing bias in information consumption.

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

A Bayesian Model of Cash Bail Decisions

Explore a Bayesian approach to modeling cash bail decisions, examining the factors influencing judicial determinations and their implications for fairness in the criminal justice system.

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