Association for Computing Machinery (ACM) Courses

Algorithmic Recourse - From Counterfactual Explanations to Consequential Interventions

Explore the evolution from counterfactual explanations to consequential interventions in algorithmic recourse, examining its impact on fairness and transparency in machine learning systems.

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

A Semiotics-Based Epistemic Tool to Reason About Ethical Issues in Digital Technology Design and Development

Explore a semiotics-based tool for addressing ethical challenges in digital technology design, enhancing decision-making and fostering responsible innovation.

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

This Whole Thing Smacks of Gender - Algorithmic Exclusion in Bioimpedance-based Body Composition Analysis

Explore algorithmic exclusion in bioimpedance-based body composition analysis, focusing on gender-related issues and their implications for fairness in health technology.

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

Re-imagining Algorithmic Fairness in India and Beyond

Explore algorithmic fairness challenges in India, examining cultural contexts and proposing new frameworks for equitable AI development in diverse global settings.

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

Leave-One-Out Unfairness

Explore the concept of leave-one-out unfairness in machine learning, its implications for algorithmic bias, and potential strategies for mitigating this issue in AI systems.

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

Fairness, Welfare, and Equity in Personalized Pricing

Explore the ethical implications and economic impacts of personalized pricing strategies, focusing on fairness, consumer welfare, and equity considerations in dynamic market environments.

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

Spoken Corpora Data, Automatic Speech Recognition, and Bias Against African American Language - The Case of Habitual 'Be'

Explore bias in automatic speech recognition systems against African American Language, focusing on the habitual 'be' usage and its implications for spoken corpora data analysis.

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

Documenting Computer Vision Datasets - An Invitation to Reflexive Data Practices

Explore reflexive data practices in computer vision datasets, emphasizing documentation's role in addressing ethical concerns and promoting transparency in AI development.

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

The Distributive Effects of Risk Prediction in Environmental Compliance - Algorithmic Design, Environmental Justice, and Public Policy

Explore the impact of risk prediction algorithms on environmental compliance, justice, and policy. Uncover the distributive effects and implications for algorithmic design in environmental regulation.

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

Designing an Online Infrastructure for Collecting AI Data From People With Disabilities

Explore the design of online systems for gathering AI data from individuals with disabilities, addressing challenges and ethical considerations in inclusive data collection.

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