Association for Computing Machinery (ACM) Courses

What Is Discrimination, When Is It Wrong and Why?

Exploration of discrimination's definition, permissibility, and ethical implications. Surveys scholarly perspectives on discrimination law's purpose and debates surrounding various approaches to identifying wrongful discrimination.

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

Privacy for All - Ensuring Fair and Equitable Privacy Protections

Explore fair and equitable privacy protections in computing, addressing challenges and proposing solutions for inclusive data protection across diverse populations.

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

Discrimination in Online Personalization - A Multidisciplinary Inquiry

Explores multidisciplinary approaches to identifying and addressing discrimination in online personalization systems, examining legal, technical, and ethical perspectives on algorithmic fairness.

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

Saving Humanity

Explore the impact of AI and technology on society, policy, and human values with Harvard's Latanya Sweeney. Examine unforeseen consequences and discuss how to shape our technological future responsibly.

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

Caring for Datasets - A Framework for Deprecating Datasets and Responsible Data Stewardship

Explore a framework for responsible data stewardship, focusing on dataset deprecation and ethical considerations in AI development and research.

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

The Death of the Legal Subject - How Predictive Algorithms Are -Re-constructing Legal Subjectivity

Explore how predictive algorithms reshape legal subjectivity, challenging traditional notions of individual agency and responsibility in the justice system.

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

We Cannot Find Fault with a Friend - Perceptions of Algorithmic Accountability Among Instant Loan App Users in India

Explore perceptions of algorithmic accountability among instant loan app users in India, examining user trust, understanding, and attitudes towards AI-driven lending decisions.

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

Model Explanations with Differential Privacy

Explore techniques for generating privacy-preserving explanations of machine learning models, balancing transparency with data protection in AI systems.

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

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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Conference Talk