ACM FAccT Conference Talks & Presentations

Association for Computing Machinery (ACM)

How to Achieve Both Transparency and Accuracy in Predictive Decision Making - An Introduction to Strategic Prediction

Explore techniques for balancing transparency and accuracy in predictive decision-making, focusing on strategic prediction methods for ethical and effective data-driven solutions.

• YouTube
• 1 hour 34 minutes
• On-Demand
• Conference Talk

Association for Computing Machinery (ACM)

Bias Preservation in Machine Learning - The Legality of Fairness Metrics Under EU Non-Discrimination Law

Explore the legal implications of fairness metrics in machine learning under EU non-discrimination law, focusing on bias preservation and its impact on algorithmic decision-making.

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

Association for Computing Machinery (ACM)

Explainable ML in the Wild - When Not to Trust Your Explanations

Explore the limitations and potential pitfalls of explainable machine learning, focusing on when to be cautious about trusting ML explanations in real-world applications.

• YouTube
• 1 hour 31 minutes
• On-Demand
• Conference Talk

Association for Computing Machinery (ACM)

Translation Tutorial - Fairness and Friends

Explore fairness in AI and its societal implications through expert insights on ethical considerations, surveillance technology, and responsible data practices.

• YouTube
• 1 hour 33 minutes
• On-Demand
• Conference Talk

Association for Computing Machinery (ACM)

Translation Tutorial - A Crash Course in Motivating, Supporting, and Expanding Ethical Thinking

Crash course on integrating ethical thinking in tech education, covering motivation, support, and expansion strategies for educators to foster responsible innovation.

• YouTube
• 1 hour 31 minutes
• On-Demand
• Conference Talk

Association for Computing Machinery (ACM)

In Praise of Flawed Mathematical Models

Exploring the value of imperfect mathematical models in computing and their impact on decision-making, ethics, and societal implications in technology and data science.

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

Association for Computing Machinery (ACM)

Health, Technology, and Race

Explore the intersections of health, technology, and race with Yeshimabeit Milner's insightful keynote, addressing crucial societal issues and their impact on modern healthcare and technological advancements.

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

Association for Computing Machinery (ACM)

Detecting Discriminatory Risk through Data Annotation Based on Bayesian Inferences

Explore Bayesian inference techniques for detecting discriminatory risk in data annotation, enhancing fairness and accountability in machine learning systems.

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

Association for Computing Machinery (ACM)

Value Cards - An Educational Toolkit for Teaching Social Impacts of Machine Learning through Deliberation

Explore an innovative educational toolkit using value cards to teach the social impacts of machine learning through deliberation and critical thinking.

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

Association for Computing Machinery (ACM)

TILT - A GDPR-Aligned Transparency Information Language and Toolkit for Practical Privacy Engineering

Explore GDPR-aligned transparency tools for privacy engineering with TILT, a language and toolkit designed to enhance practical implementation of data protection regulations.

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

Association for Computing Machinery (ACM)

Fairness, Equality, and Power in Algorithmic Decision-Making

Explore the ethical implications of algorithmic decision-making, focusing on fairness, equality, and power dynamics in AI systems and their societal impact.

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

Association for Computing Machinery (ACM)

Fair Classification with Group-Dependent Label Noise

Explore group-dependent label noise in fair classification, addressing challenges and proposing solutions for improved algorithmic fairness in machine learning models.

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

Association for Computing Machinery (ACM)

Socially Fair k-Means Clustering

Explore socially fair k-means clustering algorithms, addressing fairness in machine learning and data analysis. Learn about innovative approaches to balance accuracy and social equity in clustering techniques.

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

Association for Computing Machinery (ACM)

Designing Accountable Systems

Explore strategies for creating transparent and responsible technological systems, focusing on accountability in design and implementation.

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

Association for Computing Machinery (ACM)

Algorithmic Fairness in Predicting Opioid Use Disorder using Machine Learning

Explore machine learning's role in predicting opioid use disorder, focusing on algorithmic fairness and ethical considerations in healthcare applications.

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