
Explore the intersection of technology, productivity, and political power with Harvard Law professor Yochai Benkler in this thought-provoking keynote address from FAT*2020.

Explore fairness violations in machine learning under covariate shift and learn effective mitigation strategies for more equitable AI systems.

Explore how feminist epistemology insights can enhance feature importance methods in machine learning, addressing biases and improving interpretability in AI systems.

Explore the ethical implications of statistical parity in algorithmic decision-making, examining its moral justification and impact on fairness in AI systems.

Explore the shift from engagement optimization to value measurement in digital platforms, examining ethical implications and proposing alternative metrics for user experience evaluation.

Explore how framing analysis can enhance recommendation systems for opinion pieces, promoting diverse perspectives and reducing bias in information consumption.

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

Explore limitations of automated content analysis on social media, examining accuracy, bias, and implications for free expression and content moderation policies.

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.

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.

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

Explore key strategies for identifying, investigating, and communicating limitations in machine learning research to enhance transparency and foster responsible AI development.

Philosophical examination of AI algorithms' fairness towards women of color, challenging the concept of "intersectional fairness" in artificial intelligence.

Reflexive analysis of FAccT research, examining contributions, limitations, and future directions in computing fairness, accountability, and transparency over four years.

Explore strategies to prevent burnout in cybersecurity professionals, improve talent retention, and maintain organizational security through effective mental health support and skill development.

Explore the factors that prevented Anonymous from being labeled as cyberterrorists, despite their global political activism and masked identity. Gain insights into the complex dynamics of digital activism and cybersecurity rhetoric.

Discover M33tfinder: a tool for identifying vulnerable web applications. Learn offensive security techniques from an experienced researcher in this informative conference talk.

Explore post-pandemic personal security challenges and strategies with IT consultant Tudor Damian. Learn to protect yourself in an evolving digital landscape.

Explore WSL 2's security implications: productivity enhancer or potential vulnerability? Gain insights from cybersecurity experts on leveraging this technology safely in your development workflow.

Explore how medical professionals' avoidance of crucial aspects impacts patient care and potential life-saving improvements in healthcare.

Explore the concept of "multi-perspectiving" and cross-disciplinary thinking, discovering how these unique human brain abilities shape our world and drive innovation.