Association for Computing Machinery (ACM) Courses

You Can't Sit With Us - Exclusionary Pedagogy in AI Ethics Education

Explores exclusionary practices in AI ethics education, highlighting methodological dogmatism, lack of co-creation, and siloed citations. Proposes ideas for more collaborative and inclusive pedagogical approaches.

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

Fairness Through Robustness - Investigating Robustness Disparity in Deep Learning

Explore robustness disparity in deep learning, its impact on fairness, and potential mitigation strategies for more equitable AI systems.

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

Measurement and Fairness

Explore the intersection of measurement and fairness in computing, examining reliability, validity, and group fairness concepts to enhance ethical decision-making in technology.

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

What We Can’t Measure, We Can’t Understand - Challenges to Demographic Data Procurement in the Pursuit of Fairness

Explore challenges in demographic data collection for fairness, covering recruitment, privacy laws, anti-discrimination policies, and organizational trustworthiness in pursuit of equitable AI systems.

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

The Use and Misuse of Counterfactuals in Ethical Machine Learning

Explore the ethical implications of counterfactuals in machine learning, examining their use, misuse, and associated challenges in ensuring fairness and accountability in AI systems.

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

Removing Spurious Features Can Hurt Accuracy and Affect Groups Disproportionately

Explore the impact of removing spurious features on model accuracy and group fairness in machine learning, examining potential unintended consequences and ethical implications.

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

Differential Tweetment - Mitigating Racial Dialect Bias in Harmful Tweet Detection

Explore techniques to mitigate racial dialect bias in harmful tweet detection, addressing data set bias and examining adversary debiasing methods for more equitable content moderation.

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

Computer Science Communities - Who is Speaking, and Who is Listening to the Women?

Explore gender representation in computer science communities, analyzing speaking and listening patterns to address inequalities and propose ethical solutions for inclusivity.

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

Fifty Shades of Grey - In Praise of a Nuanced Approach Towards Trustworthy Design

Explore nuanced approaches to trustworthy design in computing, emphasizing transparency and environmental data science. Learn key strategies for building trust in virtual labs and digital systems.

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

What Does Fairness Mean in Data Protection Law

Explore legal concepts of fairness in data protection, examining justice, equality, and AI ethics through practical scenarios and GDPR implications.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Conference Talk

Assessing the Intersection of Organizational Structure and ACM FAT Efforts Within Industry

Explore the impact of organizational structure on AI fairness, accountability, and transparency efforts in industry. Gain insights into emerging theories and practical approaches.

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

The Meaning and Measurement of Bias - Lessons from NLP

Explore the complexities of bias in NLP, covering measurement processes, construct validity, and fairness evaluation. Gain insights into representational harms and practical examples in word embeddings.

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

Can an Algorithmic System Be a 'Friend' to a Police Officer's Discretion?

Explore the intersection of algorithmic systems and police discretion, examining challenges, legal frameworks, and real-world applications in domestic abuse risk assessment and decision-making.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Conference Talk

Positionality-Aware Machine Learning

Explore positionality in machine learning, examining its impact on data, models, and outcomes through case studies and diverse perspectives.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Conference Talk

From the Total Survey Error Framework to an Error Framework for Digital Traces of Humans

Explore error frameworks for digital human traces, bridging survey methodologies with computational approaches to enhance data quality and interpretation in social research.

• YouTube
• 1 hour 34 minutes
• Self-Paced
• Conference Talk