It's Not the Data - Weak Tie Algorithmic Sociality and Digital Culture
Explore digital culture, algorithmic sociality, and the impact of networked technologies on Black everyday lives with André Brock's insightful analysis of Western technoculture and Black cybercultures.
Power in Political Philosophy - Nature and Justification
Explore the nature and justification of power in political philosophy, examining key concepts and theories that shape our understanding of political authority and legitimacy.
The Creativity Process Behind GRIS
Explore the creative journey behind GRIS, a wordless narrative game. Discover artistic tools, design challenges, and innovative approaches used to craft an emotionally engaging experience accessible to all players.
A World Without Apps
Envisions a future where digital interactions are seamlessly integrated into our environment, eliminating the need for standalone apps and revolutionizing user interfaces.
How to Work in the Car of the Future - A Neuroergonomical Study Assessing Concentration, Performance and Workload Based on Subjective, Behavioral and Neurophysiological Insights
Neuroergonomical study explores optimal car interior configurations for productive work during autonomous driving, assessing concentration, performance, and workload using subjective, behavioral, and EEG measures.
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.
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.
Reasons, Values, Stakeholders - A Philosophical Framework for Explainable AI
Explore a philosophical framework for explainable AI, examining the interplay between reasons, values, and stakeholders to enhance transparency and ethical considerations in artificial intelligence systems.
Productivity and Power - The Role of Technology in Political Economy
Explore the intersection of technology, productivity, and political power with Harvard Law professor Yochai Benkler in this thought-provoking keynote address from FAT*2020.
Fairness Violations and Mitigation under Distribution Shift
Explore fairness violations in machine learning under covariate shift and learn effective mitigation strategies for more equitable AI systems.
Epistemic Values in Feature Importance Methods - Lessons From Feminist Epistemology
Explore how feminist epistemology insights can enhance feature importance methods in machine learning, addressing biases and improving interpretability in AI systems.
On the Moral Justification of Statistical Parity
Explore the ethical implications of statistical parity in algorithmic decision-making, examining its moral justification and impact on fairness in AI systems.
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.
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.
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.
Mixed Messages - The Limits of Automated Social Media Content Analysis
Explore limitations of automated content analysis on social media, examining accuracy, bias, and implications for free expression and content moderation policies.
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.
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.
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.
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.
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.