Fairness in AI Courses and Certifications

Lessons From Evaluating and Debugging Healthcare AI in Deployment

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.

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

Data, Algorithms, Justice and Fairness - Lecture 2

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.

• YouTube
• 1 hour 34 minutes
• On-Demand
• Free Video

Alan Turing Institute

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

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.

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

Alan Turing Institute

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

Explore fairness in machine learning through formal methods. Learn techniques for verifying probabilistic properties and certifying fairness in decision-making programs using FairSquare.

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

Association for Computing Machinery (ACM)

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

Explore ethical AI challenges in automated decision systems, focusing on fairness, accountability, and transparency in hiring processes and beyond.

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

Yannic Kilcher

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

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.

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

Molecular Imaging & Therapy

Lack of Fairness in AI-Based Medical Image Diagnostic Tools

Explore fairness challenges in AI-based medical image diagnostics with Dr. Seyyed-Kalantari. Gain insights on developing responsible AI tools for trustworthy clinical deployment.

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

Applied AI Auditing in Python

Learners how to conduct audits to quantify unfairness and disparities to uncover bias and develop fairer AI systems.

• LinkedIn Learning
• 1 hour 6 minutes
• On-Demand
• Free Trial Available

Association for Computing Machinery (ACM)

The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa

Explore the intersection of AI, healthcare, and colonial impacts in Africa through a mixed-methods analysis examining fairness, ethical considerations, and technological implementation challenges.

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

PyCon US

AI with a Conscience: Building Fair and Transparent Systems in Python

Explore fairness in AI with Python's fairlearn library, learning to measure and mitigate biases in machine learning models through real-world examples and techniques like demographic parity and threshold optimization.

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

Stanford Seminar - The FATE of AI Ethics, Anna Bethke

Explore AI ethics principles, their importance, and strategies to incorporate fairness, accountability, transparency, and human rights into AI development processes.

• YouTube
• 55 minutes
• On-Demand
• Free Online Course

AI Ethics

32 ratings at DataCamp

Explore AI ethics focusing on principles, fairness, bias reduction, and trust in AI design.

• DataCamp
• 1 hour
• On-Demand
• Free Trial Available

Human Factors in AI

123 ratings at Coursera

Explore human-centered design, data privacy, ethical considerations, and societal impacts in AI product development to create user-centric and responsible AI solutions.

• Coursera
• 17 hours 24 minutes
• On-Demand
• Free Online Course (Audit)

Engineering Responsible AI

Master the principles and practices of developing ethical AI systems, focusing on fairness, transparency, accountability, and societal impact in artificial intelligence implementation.

• XuetangX
• On-Demand
• Free Online Course

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

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.

• YouTube
• 1 hour 10 minutes
• On-Demand
• Free Video