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#Algorithmic Fairness

Showing: 59 courses
Stanford University

Introduction to the Theory of Computing - Stanford

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Explore fundamental concepts of theoretical computer science, including automata, computability, and complexity theory, with practical applications and algorithmic fairness.
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41 Lesons
20 hours
On-Demand
Free-Video
Stanford University

Fairness in Representation Learning - Natalie Dullerud

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Explore fairness in deep metric learning, evaluating bias in representations and its impact on minority subgroups. Learn about a novel approach to mitigate bias and improve fairness in machine learning models.
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16 Lesons
55 minutes
On-Demand
Free-Video
Santa Fe Institute

Ulam Lectures - Cris Moore - Limits of Computers in Science and Society Part 1

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Explore computational limits, problem complexity, and algorithmic challenges in science and society. From easy puzzles to impossible problems, delve into the nature of computation and its societal impact.
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32 Lesons
1 hour 26 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
Association for Computing Machinery (ACM)

Going Beyond Popularity and Positivity Bias: Correcting Multifactorial Bias in Recommender Systems - M1.7

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Explore techniques for addressing multiple biases in recommender systems, focusing on fairness and accuracy beyond popularity and positivity.
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1 Lesons
14 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
Alan Turing Institute

The Turing Lectures - Can We Trust AI?

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Explore AI biases, their impact on fairness, and efforts to address these issues. Gain insights into critical evaluation of AI technologies and the importance of rigorous testing and corporate accountability.
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1 Lesons
1 hour 46 minutes
On-Demand
Free-Video
NDC Conferences

The Elephant in your Dataset: Addressing Bias in Machine Learning

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Explore bias in machine learning, its societal impact, and strategies to mitigate it. Learn to create fair and ethical AI systems through hands-on examples and cutting-edge research.
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1 Lesons
43 minutes
On-Demand
Free-Video
TEDx

Can We Stop AI from Inheriting Our Biases?

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Entdecken Sie, wie KI-Voreingenommenheit entsteht und wie wir sie reduzieren können. Dr. Julia Mann erklärt Ursachen und Lösungsansätze für fairere KI-Systeme.
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1 Lesons
14 minutes
On-Demand
Free-Video
Alan Turing Institute

Algorithmic Fairness and Individual Probabilities

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Explore algorithmic fairness and the concept of individual probabilities, examining their implications for AI ethics and decision-making processes in machine learning applications.
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1 Lesons
54 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
Centre for Networked Intelligence, IISc

Fairness in Food Delivery Platforms - Ensuring Equitable Income Distribution and Customer Satisfaction

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Explore algorithmic solutions for fair income distribution in food delivery platforms, focusing on innovative approaches like FAIRFOODY and WORK4FOOD to balance worker earnings and platform efficiency.
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1 Lesons
1 hour 19 minutes
On-Demand
Free-Video
UofU Data Science

Topics in Responsible AI - Ethics, Fairness, and Accountability

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Explore the critical principles and practices of responsible artificial intelligence, examining ethical considerations and implementation strategies for AI development.
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1 Lesons
1 hour 22 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Implementing Intersectionality in Algorithmic Fairness - Keynote Panel I

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Exploring approaches to implement intersectionality in algorithmic fairness, addressing hidden biases and unique experiences at the intersection of identities to promote equitable AI systems.
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1 Lesons
1 hour 17 minutes
On-Demand
Free-Video
IEEE

Doing Good by Fighting Fraud - Ethical Anti-Fraud Systems for Mobile Payments

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Explore ethical anti-fraud systems for mobile payments, addressing algorithmic bias and user challenges while examining key metrics and design principles for effective fraud detection.
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19 Lesons
15 minutes
On-Demand
Free-Video
Simons Institute

Multigroup Fairness - Polylogues

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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.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Open Data Science

Inclusive Search and Recommendations

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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.
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10 Lesons
39 minutes
On-Demand
Free-Video
Alan Turing Institute

AI UK - Doing Better in Data Science – From Algorithmic Fairness to Diversity

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Experts discuss responsible AI, diversity in data science, and creating fair, inclusive AI systems. Explore challenges and opportunities in algorithmic fairness, team diversity, and equitable AI access across society.
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19 Lesons
1 hour
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

A Multi-Group Approach to Algorithmic Fairness - IPAM at UCLA

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Explore multi-group approaches to algorithmic fairness, focusing on predictive algorithms, discrimination concerns, and calibration techniques for unbiased risk assessment across diverse populations.
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9 Lesons
37 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Economic Fairness - IPAM at UCLA

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Explore economic fairness concepts with Sendhil Mullainathan in this UCLA summer school lecture, covering key principles and their applications in algorithmic decision-making.
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1 Lesons
54 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
Simons Institute

Algorithmic Fairness From The Lens Of Causality And Information Theory

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Explore algorithmic fairness through causality and information theory, focusing on identifying and explaining sources of disparity in ML models and quantifying accuracy-fairness trade-offs.
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13 Lesons
37 minutes
On-Demand
Free-Video
Simons Institute

Algorithmic Fairness and Quantum Computation

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Experts discuss cutting-edge research in algorithmic fairness and quantum computation, exploring challenges, advancements, and potential impacts on technology and society.
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1 Lesons
41 minutes
On-Demand
Free-Video
Open Data Science

Fairness in Medical Algorithms - Threats and Opportunities

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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.
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13 Lesons
41 minutes
On-Demand
Free-Video
Linux Foundation

Fairness in Machine Learning - From Theory to Practice

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Explore fairness in machine learning, addressing bias, measurement metrics, and regulatory considerations to ensure ethical and just AI implementation.
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1 Lesons
42 minutes
On-Demand
Free-Video
Paul G. Allen School

The Ethical Algorithm - Designing Socially Aware AI

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Exploring ethical challenges in AI and machine learning, including data privacy, algorithmic bias, and decision-making transparency. Discusses recent research on socially responsible algorithm design.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Open Data Science

Robustness to Adversarial Inputs and Tail Risk via Boosting - Machine Learning Model Defense Strategies

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Explore innovative strategies for robust machine learning models against adversarial inputs and tail risks, focusing on ensemble methods and risk-sensitive decision-making in high-stakes environments.
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8 Lesons
47 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
Institute for Pure & Applied Mathematics (IPAM)

Embedding Fairness into Pricing Algorithms for Vehicle Sharing Systems

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Explore fairness in pricing algorithms for vehicle sharing, examining how different fairness notions impact rider surplus and access across various groups and locations.
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1 Lesons
51 minutes
On-Demand
Free-Video
Alan Turing Institute

In How Many Ways Can an Algorithm be Fair?

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Exploring measures of algorithmic fairness, their implications for technology policy, and challenges in implementation to hold predictive algorithms accountable.
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11 Lesons
38 minutes
On-Demand
Free-Video
TEDx

Addressing Biases in AI - Shaping Responsible Development

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Explore strategies to address AI biases and shape ethical AI development. Joyann Boyce discusses the importance of guiding AI's evolution and ensuring it becomes a positive force for society.
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1 Lesons
11 minutes
On-Demand
Free-Video
WeAreDevelopers

Responsible AI in Practice: Real-World Examples and Challenges

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Explore real-world examples and challenges of implementing responsible AI, gaining insights into ethical considerations and practical strategies for developing AI systems with integrity.
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1 Lesons
33 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Algorithmic Fairness in Predicting Opioid Use Disorder using Machine Learning

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Explore machine learning's role in predicting opioid use disorder, focusing on algorithmic fairness and ethical considerations in healthcare applications.
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1 Lesons
20 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Challenges of Incorporating Algorithmic Fairness into Industry Practice

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Explore challenges in implementing algorithmic fairness in industry, covering stakeholder involvement, data gathering, resourcing, and prioritizing tradeoffs. Gain insights into practical approaches and potential pitfalls.
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1 Lesons
1 hour 36 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

I Agree with the Decision, but They Didn't Deserve This - Future Developers' Perception of Fairness

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Explore future developers' perceptions of algorithmic fairness, examining how they evaluate and interpret automated decision-making processes in various contexts.
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1 Lesons
18 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness

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Explore the intersection of machine learning and mechanism design to address algorithmic fairness challenges in AI systems, focusing on innovative approaches and ethical considerations.
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1 Lesons
19 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

This Whole Thing Smacks of Gender - Algorithmic Exclusion in Bioimpedance-based Body Composition Analysis

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Explore algorithmic exclusion in bioimpedance-based body composition analysis, focusing on gender-related issues and their implications for fairness in health technology.
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1 Lesons
20 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Re-imagining Algorithmic Fairness in India and Beyond

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Explore algorithmic fairness challenges in India, examining cultural contexts and proposing new frameworks for equitable AI development in diverse global settings.
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1 Lesons
20 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Leave-One-Out Unfairness

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Explore the concept of leave-one-out unfairness in machine learning, its implications for algorithmic bias, and potential strategies for mitigating this issue in AI systems.
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1 Lesons
19 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Quantifying and Reducing Gender Stereotypes in Word Embeddings

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Hands-on exploration of gender biases in word embeddings, quantifying stereotypes, and implementing techniques to reduce bias in natural language processing applications.
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1 Lesons
56 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

21 Definitions of Fairness and Their Politics

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Explore 21 mathematical definitions of fairness in machine learning, their embedded values, and implications for ethics and policy. Gain insights into the complexities of algorithmic fairness and its connection to theories of justice.
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1 Lesons
55 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Fairness in Machine Learning - Lessons from Political Philosophy

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Explore the intersection of machine learning fairness and political philosophy, drawing insights to address ethical challenges in AI decision-making systems.
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1 Lesons
20 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Are "Intersectionally Fair" AI Algorithms Really Fair to Women of Color? - A Philosophical Analysis

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Philosophical examination of AI algorithms' fairness towards women of color, challenging the concept of "intersectional fairness" in artificial intelligence.
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1 Lesons
16 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Algorithmic Fairness and Vertical Equity - Income Fairness with Tax Audit Models

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Explore income fairness in tax audit models, examining algorithmic fairness and vertical equity principles to enhance equitable tax enforcement strategies.
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1 Lesons
15 minutes
On-Demand
Free-Video
Strange Loop Conference

How to Fix AI - Solutions to ML Bias - And Why They Don't Matter

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Exploring ML bias solutions and their limitations. Presents deep learning techniques for combating data bias, discusses algorithmic fairness, and challenges assumptions about AI bias solutions through real-world case studies.
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1 Lesons
45 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)

Fairness, Rankings, and Behavioral Biases

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Exploring fairness in ranking systems, behavioral biases, and interventions to improve diversity and equity in selection processes through mathematical modeling and analysis.
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21 Lesons
1 hour 6 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making

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Exploring challenges and design opportunities for fairness and accountability in algorithmic public sector decision-making, with insights from machine learning practitioners across OECD countries.
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22 Lesons
21 minutes
On-Demand
Free-Video
Strange Loop Conference

Privacy Governance and Explainability in ML - AI

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Explore privacy governance in ML/AI, addressing GDPR compliance, explainability challenges, bias identification, and strategies for enhancing consumer trust in complex data-driven decision-making processes.
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25 Lesons
45 minutes
On-Demand
Free-Video
EuroPython Conference

Trust Me, I'm a Data Scientist - Ethics for Builders of Data-Based Applications

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Explore ethical pitfalls in data science through a practical example, covering algorithmic fairness, model interpretability, and handling minority classes in AI applications.
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14 Lesons
25 minutes
On-Demand
Free-Video
Open Data Science

Do Large Language Models Have a Duty to Tell the Truth?

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Explore the ethical implications of LLMs' "careless speech" and potential solutions. Gain insights on AI ethics, misinformation risks, and proposed legal duties for truthful AI responses.
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6 Lesons
25 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Stop Explaining Black Box ML Models for High Stakes Decisions and Use Interpretable Models

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Explore the societal impact of black box ML models in high-stakes decisions and discover the benefits of using interpretable models for transparent decision-making.
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1 Lesons
49 minutes
On-Demand
Free-Video
Linux Foundation

Exploring Pillars of Trustworthy AI: Robustness and Fairness

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Discover how to build robust and fair AI models by exploring vulnerabilities, implementing defense strategies, and addressing bias in machine learning systems through practical techniques.
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1 Lesons
42 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Practical Individual Fairness Algorithms in Machine Learning

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Explore algorithmic fairness in machine learning, focusing on Distributional Individual Fairness. Learn to train certifiably fair models using transport-based regularization for various ML tasks.
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1 Lesons
44 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Black Loans Matter: Algorithms for Racial Justice in Financial Services

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Explore AI fairness in lending, focusing on subgroup discrimination and proposing Distributionally Robust Fairness with SenSR algorithm to combat racial bias in financial services.
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1 Lesons
39 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Fairness in Algorithmic Decision Making for Financial Services

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Explore fairness in AI algorithms for financial services, addressing bias detection and mitigation to ensure ethical decision-making.
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1 Lesons
30 minutes
On-Demand
Free-Video
IIIA Hub

Responsible Data Management - Ethics and Legal Compliance in Data-Driven Systems

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Explore ethical considerations in data-driven systems, focusing on responsible data collection, preparation, and lifecycle management for building fair and interpretable AI solutions.
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1 Lesons
1 hour 6 minutes
On-Demand
Free-Video
Cooperative AI Foundation

Fostering Cooperation via Fairness in AI Systems

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Explore fairness in AI decision-making, addressing efficiency, elicitation, and incentives. Learn theoretical foundations for fairness in voting, resource allocation, and machine learning.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Uncertainty in Artificial Intelligence

Algorithms in Unjust Systems

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Explore the impact of algorithms in unjust systems with Alexandra Chouldechova's keynote talk at UAI 2023, addressing critical issues in AI and fairness.
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1 Lesons
1 hour 6 minutes
On-Demand
Free-Video