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#Fairness in AI

Showing: 41 courses
Stanford University

Lessons From Evaluating and Debugging Healthcare AI in Deployment

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Explore challenges in translating AI to healthcare: data curation, model testing, and human-AI interactions. Learn insights from real-time AI trials and FDA-approved medical AI systems analysis.
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19 Lesons
57 minutes
On-Demand
Free-Video
Santa Fe Institute

Data, Algorithms, Justice and Fairness - Lecture 2

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Exploring algorithmic fairness in justice systems: accuracy, data sources, and potential biases. Discusses AI decision-making, explainability, and societal implications of algorithms in criminal justice.
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1 Lesons
1 hour 34 minutes
On-Demand
Free-Video
Santa Fe Institute

Fairness in Machine Learning: Tasks, Experiences, and Performance Measures

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Explore fairness in machine learning, focusing on risk assessment tasks, data representation challenges, and performance measures. Learn about new findings and alternative approaches to promote equitable AI systems.
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1 Lesons
1 hour 10 minutes
On-Demand
Free-Video
Alan Turing Institute

Privacy-Preserving, Fair, and Robust Machine Learning Models in Online Dating

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Explore privacy-preserving, fair, and robust machine learning models in online dating apps. Learn about data privacy challenges and innovative solutions for protecting personal information while ensuring effective matchmaking.
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1 Lesons
30 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Keynote - Consumer Protection in the Age of AI

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Explore insights from Stephanie Nguyen of the U.S. Federal Trade Commission on critical issues at the intersection of technology, fairness, accountability, and transparency in this keynote address.
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1 Lesons
1 hour 9 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation

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Explore advanced techniques in unbiased learning-to-rank systems, focusing on propensity estimation methods and their impact on fair ranking algorithms and search result optimization.
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1 Lesons
15 minutes
On-Demand
Free-Video
Simons Institute

What is Your Data Worth? Equitable Data Valuation in Machine Learning

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Explore equitable data valuation in machine learning, focusing on Data Shapley Value and its applications in healthcare, face recognition, and NLP.
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18 Lesons
44 minutes
On-Demand
Free-Video
Simons Institute

Privacy and Fairness in Collaborative AI

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Explore information-theoretic approaches to enhance privacy and fairness in collaborative AI systems, focusing on trustworthy machine learning techniques.
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1 Lesons
33 minutes
On-Demand
Free-Video
Simons Institute

Algorithmic Decision Making and the Cost of Fairness

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Explore algorithmic decision-making in pre-trial settings, examining bias identification, fairness concerns, and the trade-offs between accuracy and equity in automated systems.
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26 Lesons
39 minutes
On-Demand
Free-Video
Graham Neubig

CMU Advanced NLP: Bias and Fairness

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Explore types of bias in NLP models, detection techniques, and mitigation strategies for fairer language processing systems.
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21 Lesons
1 hour 16 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

AI Explainability 360 - First Half of the Tutorial

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Explore AI Explainability 360 toolkit: understand machine learning models, enhance transparency, and gain insights into AI decision-making processes for more responsible and ethical AI applications.
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1 Lesons
1 hour 32 minutes
On-Demand
Free-Video
Yannic Kilcher

Is the Problem in the Data? Examples on Fairness, Diversity, and Bias

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Exploring AI bias through interactive examples on fairness, diversity, and hidden biases. Examines whether bias issues stem from data or other factors in machine learning models.
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7 Lesons
24 minutes
On-Demand
Free-Video
Alan Turing Institute

Fairness and Robustness in Machine Learning – A Formal Methods Perspective - Aditya Nori, Microsoft

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Explore fairness in machine learning through formal methods. Learn techniques for verifying probabilistic properties and certifying fairness in decision-making programs using FairSquare.
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18 Lesons
34 minutes
On-Demand
Free-Video
Alan Turing Institute

Human-Compatible Artificial Intelligence - Stuart Russell, University of California

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Stuart Russell explores the potential and risks of AI surpassing human capabilities, proposing a fundamental shift in AI development to ensure beneficial outcomes and addressing key ethical and philosophical questions.
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24 Lesons
58 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

KDD TransFAT - Translating Fairness, Accountability, and Transparency - Julia Stoyanovich

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Explore ethical AI challenges in automated decision systems, focusing on fairness, accountability, and transparency in hiring processes and beyond.
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11 Lesons
43 minutes
On-Demand
Free-Video
Databricks

Interpretable Machine Learning - Data Brew Season 2 Episode 7

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Explore interpretable machine learning with Ameet Talwalkar, discussing its relation to data privacy, fairness, and practical applications in this insightful interview on cutting-edge ML research.
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12 Lesons
37 minutes
On-Demand
Free-Video
Linux Foundation

Mitigating Bias in Models with SHAP and Fairlearn

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Learn techniques to identify and mitigate bias in machine learning models using SHAP and Fairlearn, enhancing fairness and transparency in AI systems.
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1 Lesons
42 minutes
On-Demand
Free-Video
Linux Foundation

Flagging and Fixing Bias in Machine Learning

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Explore techniques to identify and mitigate bias in machine learning models, enhancing fairness and accuracy in AI applications.
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1 Lesons
31 minutes
On-Demand
Free-Video
Linux Foundation

The Search for Transparency and Accountability in the Age of AI - RAI and XAI as Essential Tools

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Explore responsible AI and explainable AI as essential tools for building ethical, transparent, and trustworthy systems. Uncover techniques to interpret complex models and foster accountability in AI development.
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1 Lesons
39 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Algorithmic Fairness, Loss Minimization and Outcome Indistinguishability

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Explore algorithmic fairness, loss minimization, and outcome indistinguishability in machine learning. Discover how these concepts address fairness issues and enable flexible predictor optimization across various constraints.
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1 Lesons
51 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information

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Explore methods for assessing ML model fairness with limited data, addressing challenges in uncertain and incomplete information scenarios.
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1 Lesons
20 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Auditing Black-box Models

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Learn techniques to audit and interpret complex machine learning models, focusing on detecting unintended dependencies and biases using a specialized software library through hands-on examples.
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1 Lesons
57 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Fairness Through Robustness - Investigating Robustness Disparity in Deep Learning

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Explore robustness disparity in deep learning, its impact on fairness, and potential mitigation strategies for more equitable AI systems.
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7 Lesons
21 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

The Meaning and Measurement of Bias - Lessons from NLP

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Explore the complexities of bias in NLP, covering measurement processes, construct validity, and fairness evaluation. Gain insights into representational harms and practical examples in word embeddings.
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17 Lesons
1 hour 18 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Learning Algorithms

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Exploration of fairness in machine learning algorithms, focusing on disparity assessment, classification with fairness constraints, and comparative studies of fairness-enhancing interventions.
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10 Lesons
46 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Building User Trust in Recommendations via Fairness and Explanations

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Explore techniques to enhance user trust in recommender systems through fairness and explanations, addressing ethical concerns and promoting transparency in AI-driven decision-making.
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19 Lesons
27 minutes
On-Demand
Free-Video
GOTO Conferences

Addressing Algorithmic Bias

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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.
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17 Lesons
43 minutes
On-Demand
Free-Video
Strange Loop Conference

Fight AI Bias With Bias

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Explore techniques to de-bias datasets and build fair, equitable AI systems. Learn how to address biases, increase trust, and promote responsible AI practices for improved adoption and safety.
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1 Lesons
47 minutes
On-Demand
Free-Video
PyCon US

Assessing and Mitigating Unfairness in AI Systems

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Learn to assess and mitigate fairness issues in AI systems, focusing on healthcare disparities. Hands-on practice with Fairlearn library to evaluate and improve ML model performance across racial groups.
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1 Lesons
2 hours 38 minutes
On-Demand
Free-Video
PyCon US

Approaches to Fairness and Bias Mitigation in Natural Language Processing

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Exploring fairness and bias mitigation in NLP models, discussing detection methods, mitigation strategies, and tools to ensure equitable results in language understanding and generation applications.
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1 Lesons
31 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Life is Not Fair, but Your ML Pipeline Can Be

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Explore techniques to evaluate and enhance fairness in multi-cloud Kubeflow workflows, covering responsible AI, fairness aspects, and open-source tools for fair model learning and hyperparameter tuning.
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1 Lesons
28 minutes
On-Demand
Free-Video
Snorkel AI

LinkedIn's Insights on AI Fairness in Hiring

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Explore LinkedIn's approach to AI fairness in hiring, focusing on mitigating bias in algorithmic and product design, and data processing for more equitable recruitment practices.
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1 Lesons
29 minutes
On-Demand
Free-Video
DevConf

Beyond Black Boxes: Guide to Testing AI-Powered Applications

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Explore challenges and strategies for testing AI applications, focusing on clarity, fairness, and robustness. Gain insights to build trust and mitigate risks in AI-driven systems.
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1 Lesons
27 minutes
On-Demand
Free-Video
Alexander Amini

AI Bias and Fairness

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Comprehensive exploration of AI bias and fairness, covering types, sources, and mitigation strategies. Examines interpretation-driven and data-driven biases, feature bias, and advanced debiasing techniques for ethical AI development.
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14 Lesons
43 minutes
On-Demand
Free-Video
Devoxx

Can You Trust Your AI?

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Explore Explainable AI and its role in fostering trust in AI systems. Learn about the TrustyAI initiative, different types of explanations, and the importance of transparency in AI decision-making.
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21 Lesons
46 minutes
On-Demand
Free-Video
Devoxx

Some Pitfalls in AI

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Explore common pitfalls in AI applications, including bias, adversarial attacks, ethics, and privacy concerns, to better understand the challenges and risks of autonomous decision-making systems.
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39 Lesons
52 minutes
On-Demand
Free-Video
OpenSource Connections

Bias Identification and Mitigation in AI Systems

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Explore techniques for identifying and mitigating bias in AI systems with NLP expert Arnault Gombert.
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1 Lesons
40 minutes
On-Demand
Free-Video
Data Science Festival

Where Did My Model Go Wrong? Toolkits of Interpretability, Bias and Fairness to the Rescue

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Explore techniques to identify and correct biases in machine learning models, interpret results, and ensure fair outcomes in model development and deployment.
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1 Lesons
38 minutes
On-Demand
Free-Video
Molecular Imaging & Therapy

Lack of Fairness in AI-Based Medical Image Diagnostic Tools

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Explore fairness challenges in AI-based medical image diagnostics with Dr. Seyyed-Kalantari. Gain insights on developing responsible AI tools for trustworthy clinical deployment.
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1 Lesons
39 minutes
On-Demand
Free-Video
USC Probability and Statistics Seminar

A Statistical Journey through Trustworthy AI

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Explore statistical perspectives on privacy, robustness, and fairness in AI, focusing on machine un-learning, adversarial robustness, and fair Bayes-optimal classifiers.
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1 Lesons
46 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Responsible AI Toolbox: Practical Approaches and Tools for Ethical Machine Learning

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Explore practical approaches to responsible AI and learn how open-source and cloud-integrated capabilities empower data scientists to understand and improve ML models ethically.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video