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#Bias Analysis

Showing: 7 courses
Santa Fe Institute

The Individual Within the Crowd: How Individual Forecasters Contribute to Ideal Group Forecasts

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Explores optimal group forecasting by analyzing individual biases, errors, and diversity. Presents a statistical model for estimating forecaster features and discusses when to use optimal weighting versus simple averaging.
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24 Lesons
47 minutes
On-Demand
Free-Video

Biostatistics USMLE

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Comprehensive biostatistics review for USMLE Step 1, covering key concepts, practice questions, and exam strategies to enhance understanding and test performance.
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22 Lesons
6 hours
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Law and Policy

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Explore ethical and legal challenges in AI, including anthropomorphism, explainability, racial categorization, and algorithmic fairness. Gain insights from experts on crucial issues shaping the future of technology and society.
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1 Lesons
48 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Content Distribution

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Exploring algorithmic biases in content distribution, including microtargeting, truth perception, polarization control, and recommender systems' effects on online news environments.
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1 Lesons
50 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases

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Explore how unsupervised pre-training in image representations can lead to human-like biases, examining methods, results, and implications for AI fairness and ethics.
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7 Lesons
20 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Fairness and Diversity II

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Explore cutting-edge research on fairness and diversity in computing, examining innovative approaches to promote inclusivity and ethical considerations in technology development.
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1 Lesons
55 minutes
On-Demand
Free-Video
NDC Conferences

Developing an Intersectional Framework to Analyze Biases in Artificial Intelligence and Deep Neural

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Explore an intersectional framework for analyzing biases in AI and deep neural networks, focusing on ethical tech development and mitigating discriminatory outcomes in machine learning.
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9 Lesons
23 minutes
On-Demand
Free-Video