Algorithmic Fairness Courses and Certifications

Alan Turing Institute

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.

• YouTube
• 38 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

Bias in AI Systems - III

Explore bias in AI through stereoset, crowS pairs, and Auto Debias techniques for understanding and mitigating prejudice in language models.

• YouTube
• 37 minutes
• On-Demand
• Free Video

Optimization for Fairness-aware Machine Learning

Explore optimization techniques for implementing fairness in machine learning systems, focusing on algorithmic approaches and ethical considerations in AI development.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

SocialCounterfactuals: Probing and Mitigating Intersectional Social Bias with Counterfactuals

Explore how counterfactuals can be used to probe and mitigate intersectional social bias in AI systems, examining innovative techniques for creating more equitable technology.

• YouTube
• 28 minutes
• On-Demand
• Free Video

Simons Institute

Multigroup Fairness - Polylogues

Explore key themes of multigroup fairness in algorithmic systems with Stanford's Omer Reingold, discussing statistical judgment validity and societal implications of AI decision-making.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Video

Fairness in Machine Learning - From Theory to Practice

Explore fairness in machine learning, addressing bias, measurement metrics, and regulatory considerations to ensure ethical and just AI implementation.

• YouTube
• 42 minutes
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Economic Fairness - IPAM at UCLA

Explore economic fairness concepts with Sendhil Mullainathan in this UCLA summer school lecture, covering key principles and their applications in algorithmic decision-making.

• YouTube
• 54 minutes
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Cynthia Dwork - Group Fairness and Individual Fairness - IPAM at UCLA

Explore group and individual fairness in algorithmic decision-making, examining their definitions, advantages, and limitations in the context of ethical AI and machine learning applications.

• YouTube
• 59 minutes
• On-Demand
• Free Video

Open Data Science

Inclusive Search and Recommendations

Explore inclusive AI in personalized discovery systems, focusing on fairness, diversity, and privacy. Learn strategies for reducing bias and implementing responsible AI in search and recommendation algorithms.

• YouTube
• 39 minutes
• On-Demand
• Free Video

Open Data Science

Fairness in Medical Algorithms - Threats and Opportunities

Explore fairness in medical AI algorithms, addressing biases, challenges, and opportunities for equitable healthcare. Learn practical approaches and open questions in developing fair medical AI systems.

• YouTube
• 41 minutes
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

Black Loans Matter: Algorithms for Racial Justice in Financial Services

Explore AI fairness in lending, focusing on subgroup discrimination and proposing Distributionally Robust Fairness with SenSR algorithm to combat racial bias in financial services.

• YouTube
• 39 minutes
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Embedding Fairness into Pricing Algorithms for Vehicle Sharing Systems

Explore fairness in pricing algorithms for vehicle sharing, examining how different fairness notions impact rider surplus and access across various groups and locations.

• YouTube
• 51 minutes
• On-Demand
• Free Video

Uncertainty in Artificial Intelligence

Algorithms in Unjust Systems

Explore the impact of algorithms in unjust systems with Alexandra Chouldechova's keynote talk at UAI 2023, addressing critical issues in AI and fairness.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

Cooperative AI Foundation

Fostering Cooperation via Fairness in AI Systems

Explore fairness in AI decision-making, addressing efficiency, elicitation, and incentives. Learn theoretical foundations for fairness in voting, resource allocation, and machine learning.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Association for Computing Machinery (ACM)

Harm Ratio - A Novel and Versatile Fairness Criterion

Explore a groundbreaking fairness criterion for algorithmic decision-making, examining its theoretical foundations and practical applications in achieving equitable outcomes.

• YouTube
• 20 minutes
• On-Demand
• Free Video