Fairness in AI Courses and Certifications

Stanford Seminar - The FATE of AI Ethics, Anna Bethke

Explore AI ethics with Stanford University's seminar. Learn about fairness, accountability, transparency, explainability, and human rights in AI development in under an hour.

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

Lessons From Evaluating and Debugging Healthcare AI in Deployment

Stanford University offers a short seminar on healthcare AI, covering real-time trials, data analysis, model testing, and human-AI interactions in clinical settings.

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

Human Factors in AI

82 ratings at Coursera

Duke University's 4-week course on human factors in AI explores human-centered design, data privacy, ethical AI, and bias mitigation, aiming to enhance AI product experiences.

• Coursera
• 17 hours 19 minutes
• On-Demand
• Free Online Course (Audit)

Artificial Intelligence Ethics in Action

117 ratings at Coursera

LearnQuest's 3-week course offers hands-on projects to hone critical thinking and analytical skills in the emerging field of AI Ethics.

• Coursera
• 5 hours 49 minutes
• On-Demand
• Free Online Course (Audit)

Coursera Instructor Network

Building Trust: Ethics for AI-powered Chatbots

Many organizations with websites are using chatbots to engage with customers. While this strategy has proved profitable and efficient, there are ethical issues that can arise if users are unaware that their interaction is with an AI bot and not a human.…

• Coursera
• 2 hours 43 minutes
• On-Demand
• Free Online Course (Audit)

AI Ethics

22 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

Debiasing AI Using Amazon SageMaker

15 ratings at LinkedIn Learning

Learn how to debias AI with Amazon SageMaker. Build machine learning models that are fair, transparent, and explainable.

• LinkedIn Learning
• 1-2 hours
• On-Demand
• Free Trial Available

Ethical AI

In this course, students will learn how to approach and apply ethical AI. Coursework will enable practitioners to design and build models with enhanced fairness and limited bias to avoid unforeseen consequences and connect ethical AI concepts to critical…

• Udacity
• 4 weeks, 4-5 hours a week
• On-Demand
• Paid Course

Alexander Amini;  MIT

AI Bias and Fairness

Explore AI bias and fairness in this MIT lecture, covering topics from understanding bias in machine learning to mitigation strategies and future considerations. Less than 1-hour workload.

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

Graham Neubig

CMU Advanced NLP: Bias and Fairness

Explore bias in NLP models and learn prevention techniques with Graham Neubig's lecture, part of CMU's Advanced NLP series. Expect a 1-2 hour workload.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Online Course

Alan Turing Institute

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

Explore fairness and bias in algorithmic decisions with Microsoft's Aditya Nori in this short workshop offered by the Alan Turing Institute. Learn to verify fairness using FairSquare.

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

Alan Turing Institute

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

Explore the future of AI with Stuart Russell from the University of California, discussing its potential benefits and risks. Offered by the Alan Turing Institute, this short program delves into AI's impact on society.

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

GOTO Conferences

Addressing Algorithmic Bias

Explore strategies to address, avoid, and mitigate AI algorithmic bias in this under 1-hour presentation by Muniba Talha at GOTO Conferences.

• YouTube
• 43 minutes
• On-Demand
• Conference Talk

Devoxx

Can You Trust Your AI?

Explore the concept of Explainable AI (XAI) and its importance in fostering trust in AI systems with this less than 1-hour material by Devoxx. Dive into AI problems, explanations, fairness, and more.

• YouTube
• 46 minutes
• On-Demand
• Conference Talk

Devoxx

Some Pitfalls in AI

Explore common pitfalls in AI applications, including bias, fairness, and security concerns, in this under 1-hour material by Devoxx. Delivered by AI expert Joachim Ganseman.

• YouTube
• 52 minutes
• On-Demand
• Conference Talk