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#Group Fairness

Showing: 13 courses
Santa Fe Institute

Can Algorithms Bend the Arc Toward Justice?

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Explore algorithmic fairness, intersectionality, and the challenges of balancing accuracy with equity in machine learning and public safety applications.
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20 Lesons
1 hour 25 minutes
On-Demand
Free-Video
Broad Institute

AI in Radiology: Pattern Detection, Fairness, and Clinical Applications - Lecture Series

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Explore AI's ability to detect hidden patterns in X-ray images and its implications for radiologists. Delve into fairness considerations in chest X-ray diagnosis models and their potential impacts on clinical practice.
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27 Lesons
1 hour 34 minutes
On-Demand
Free-Video
Centre for Networked Intelligence, IISc

Fair Clustering: Notations and Algorithms

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Explore fair clustering algorithms and their role in preventing discriminatory outcomes in machine learning applications, focusing on group fairness and equal representation across clusters.
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1 Lesons
1 hour
On-Demand
Free-Video
Simons Institute

The Limits of Group Fairness and Predictive Multiplicity

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Explore information-theoretic approaches to group fairness and predictive multiplicity in machine learning, examining their limitations and implications for trustworthy AI systems.
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1 Lesons
37 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

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

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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.
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1 Lesons
59 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Translation Tutorial - A History of Quantitative Fairness in Testing

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Explores historical quantitative fairness definitions in education and hiring, translating 1960s-70s concepts to modern machine learning notation and highlighting challenges for current fairness research.
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1 Lesons
1 hour 24 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Decoupled Classifiers for Group-Fair and Efficient Machine Learning

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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.
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1 Lesons
20 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Group Fairness - Independence Revisited

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Explore the concept of group fairness and independence in algorithmic decision-making, examining its implications, limitations, and potential improvements for ethical AI systems.
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8 Lesons
17 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Measurement and Fairness

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Explore the intersection of measurement and fairness in computing, examining reliability, validity, and group fairness concepts to enhance ethical decision-making in technology.
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5 Lesons
21 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Removing Spurious Features Can Hurt Accuracy and Affect Groups Disproportionately

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Explore the impact of removing spurious features on model accuracy and group fairness in machine learning, examining potential unintended consequences and ethical implications.
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7 Lesons
21 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Chasing Your Long Tails - Differentially Private Prediction in Health Care Settings

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Explore differential privacy in healthcare ML, addressing unique challenges, extreme tradeoffs, and fairness considerations for underrepresented groups in medical datasets.
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9 Lesons
19 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

One Label, One Billion Faces - Usage and Consistency of Racial Categories in Computer Vision

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Explores racial categorization in computer vision, examining usage, consistency, and implications for fairness in AI systems. Highlights challenges and potential biases in facial recognition technology.
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13 Lesons
15 minutes
On-Demand
Free-Video
Uncertainty in Artificial Intelligence

Sequential Learning in Artificial Intelligence - Oral Session 4

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Explore cutting-edge research in sequential learning, covering robust reinforcement learning, online learning in MDPs, fairness in predict-then-optimize settings, and constrained POMDPs.
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1 Lesons
1 hour 33 minutes
On-Demand
Free-Video