AI and Algorithmic Decision Making: Human Intuition vs Machine Capabilities
Explore AI's role in decision-making with Ray Dalio and Garry Kasparov, discussing its potential and limitations compared to human intuition in various domains.
Is Technology Killing Democracy? - Examining the Impact of Tech on Democratic Processes
Explore the impact of technology on democracy with experts from CrowdStrike, European Commission, and The Wall Street Journal in this thought-provoking panel discussion.
Algorithmic Governance and Digital Platforms - Keynote
Explore the intersection of technology, society, and ethics with renowned computer scientist Virgilio Almeida in this thought-provoking keynote address at FAccT '24.
Data, Democracy, and Decisions - AI's Impact on Elections
Experts discuss AI's potential impacts on democracy, exploring challenges and opportunities for maintaining election integrity in the digital age. Panel covers key issues at the intersection of technology and governance.
AI Regulations - A Healthy Tension with Innovation or Stifling Bureaucracy?
Explore the balance between AI regulation and innovation, examining impacts on open source development, ethical concerns, and strategies for navigating regulatory landscapes while fostering technological advancement.
Heartificial Intelligence - Harmonising Humanity with Ethical AI
Explore ethical AI development's potential to enhance human empathy and cooperation. Learn about Heartificial Intelligence and its role in educating people to ask the right questions about responsible AI implementation.
The Measure and Mismeasure of AI
Explore AI measurement challenges and their societal impacts with Stanford's Sanmi Koyejo, delving into evaluation methods, biases, and ethical considerations in AI systems.
In How Many Ways Can an Algorithm be Fair?
Exploring measures of algorithmic fairness, their implications for technology policy, and challenges in implementation to hold predictive algorithms accountable.
The Turing Lectures - Mitigating Algorithmic Bias in AI Systems
Explore a sociotechnical approach to mitigating algorithmic bias in AI systems, featuring Dr. Nicol Turner Lee's research on an "energy star ratings" system for fair and ethical AI development.
Hands on Data and Algorithmic Bias in Recommender Systems
Explore data and algorithmic bias in recommender systems through real-world examples, practical use cases, and mitigation techniques. Gain hands-on experience with Jupyter notebooks using data from actual platforms.
Parole Denied - One Man's Fight Against a COMPAS Risk Assessment
Exploring the impact of COMPAS risk assessment in prisons, focusing on Question 19's influence on parole decisions and the challenges faced by inmates in addressing algorithmic bias.
Black Feminist Musings on Algorithmic Oppression
Explore the intersection of Black feminism and algorithmic bias, examining how technology perpetuates systemic oppression and discussing potential solutions for a more equitable digital future.
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.
The Ethics of Exponential Technologies
Exploring ethical challenges of emerging technologies, balancing innovation with responsible execution, and ensuring equitable access to advancements for societal benefit.
The Social Credit System
Analyse des systèmes de crédit social chinois, leurs implémentations et impacts potentiels sur la société et l'économie, à travers une modélisation par agents et une perspective technique nuancée.
Gender Shades - Intersectional Accuracy Disparities in Commercial Gender Classification
Explore intersectional accuracy disparities in commercial gender classification systems, examining biases and implications for AI fairness and ethics in facial recognition technology.
Hidden in the Algorithm
Explore the risks of algorithmic bias in digital decision-making and strategies for mitigating discrimination in AI-driven systems across various sectors.
AI and Machine Learning - Managing the Risks of Major Lawsuits
Explore legal risks and mitigation strategies for AI and machine learning applications, covering liability issues, algorithmic biases, and emerging challenges in autonomous systems and healthcare.
Resisting the New Jim Code in the Old South - Lessons from the Field
Explore strategies to combat algorithmic bias and digital discrimination in the Southern US, drawing insights from real-world experiences and community-driven initiatives.
Addressing Algorithmic Bias
Explore strategies to address, avoid, and mitigate AI algorithmic bias in critical decision-making processes. Learn about fair algorithms, trade-offs in bias protection, and techniques for auditing and combating bias in AI systems.
Real World Implications of Bias in Coding & Machine Learning
Explore how unconscious bias affects coding and machine learning, learn to identify and mitigate it, and discover inclusive design practices for creating more equitable and effective applications.