Algorithmic Decision-Making Courses and Certifications

Kathleen Creel- Arbitrariness, Fairness, and Opportunity in Algorithmic Decision-Making Systems

Explore the ethical implications of algorithmic decision-making, focusing on arbitrariness at scale, its moral and legal issues, and potential technical solutions to mitigate harm.

• YouTube
• 58 minutes
• On-Demand
• Free Online Course

Simons Institute

Algorithmic Decision Making and the Cost of Fairness

Explore algorithmic decision-making in pre-trial settings, examining bias identification, fairness concerns, and the trade-offs between accuracy and equity in automated systems.

• YouTube
• 39 minutes
• On-Demand
• Free Online Course

Alan Turing Institute

Be Prepared to Show Your Working! - Professor Sir David Spiegelhalter

Explore algorithmic decision-making transparency, validation, and explainability with Professor Spiegelhalter. Learn about the importance of demonstrating trustworthiness and intelligent transparency in automated advice systems.

• YouTube
• 1 hour 10 minutes
• On-Demand
• Free Online Course

When Will We Need a Theory of Intelligence - Panel Discussion

Panel discussion exploring the need for a theory of intelligence, its potential components, and applications beyond human and machine intelligence, considering the limits of current AI successes and future challenges.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Online Course

Machine Learning and Social Norms - Balancing Fairness and Accuracy

Machine learning's impact on social decisions: Exploring fairness, privacy, and accountability in algorithmic decision-making across various domains. Discusses recent research and challenges in embedding social norms into predictive algorithms.

• YouTube
• 1 hour 22 minutes
• On-Demand
• Free Online Course

Association for Computing Machinery (ACM)

When People and Algorithms Meet - User-Reported Problems in Intelligent Everyday Applications

Análisis de problemas reportados por usuarios en aplicaciones inteligentes cotidianas, revelando desafíos en contenido, algoritmos, elección del usuario y retroalimentación, con implicaciones para el diseño de sistemas de apoyo.

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

Association for Computing Machinery (ACM)

Decoupled Classifiers for Group-Fair and Efficient Machine Learning

Explore group-fair machine learning with decoupled classifiers, balancing efficiency and fairness in algorithmic decision-making. Gain insights into innovative approaches for ethical AI development.

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

Association for Computing Machinery (ACM)

Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness

Explore the intersection of machine learning and mechanism design to address algorithmic fairness challenges in AI systems, focusing on innovative approaches and ethical considerations.

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

Association for Computing Machinery (ACM)

Can an Algorithmic System Be a 'Friend' to a Police Officer's Discretion?

Explore the intersection of algorithmic systems and police discretion, examining challenges, legal frameworks, and real-world applications in domestic abuse risk assessment and decision-making.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Conference Talk

Association for Computing Machinery (ACM)

The Algorithmic Leviathan - Arbitrariness, Unfairness, and Opportunity in Algorithmic Decision Making

Explore the ethical implications of algorithmic decision-making systems, focusing on arbitrariness, unfairness, and potential solutions in automated processes across various domains.

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

Association for Computing Machinery (ACM)

Toward a Theory of Race for Fairness in Machine Learning

Exploring critical race theory concepts for machine learning practitioners to develop a nuanced understanding of race in algorithmic fairness, through discussions and interactive activities.

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

Association for Computing Machinery (ACM)

Economic Models I

Exploration of fair machine learning through economic models, addressing equality of opportunity, population-level signaling, competitive equilibrium, and fair allocation algorithms.

• YouTube
• 49 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

Simons Institute

The Limits of Group Fairness and Predictive Multiplicity

Explore information-theoretic approaches to group fairness and predictive multiplicity in machine learning, examining their limitations and implications for trustworthy AI systems.

• YouTube
• 37 minutes
• On-Demand
• Free Online Course

JSConf

Consequences of an Insightful Algorithm

Exploring ethical implications of data-driven algorithms, unintended consequences, and the need for empathy in software design to protect user privacy and well-being.

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