Trustworthy AI Courses and Certifications

Responsible Innovation and Trustworthy AI

Discover how to build trustworthy AI systems by applying responsible innovation principles, identifying bias, and implementing ethical practices throughout the analytics lifecycle.

• Coursera
• 9 hours 55 minutes
• On-Demand
• Paid Course

Discover how to develop ethical AI systems that prioritize transparency, fairness, and accountability in decision-making processes.

• Coursera
• On-Demand
• Paid Course

AI Engineer

How to Build Trustworthy AI

Discover strategies for building trustworthy AI through security, safety, and alignment. Explore MLSecOps, AI red teaming, and runtime security to create explainable systems users can trust.

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

How to Build Trustworthy AI with Open Source

Explore open-source tools for building trustworthy AI systems, focusing on robustness, fairness, and explainability to ensure ethical and responsible AI development.

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

Trustworthy AI in Network Operations

Explore symbolic reinforcement learning, formal verification, and explainability in AI-based models for network operations, addressing challenges and advancements in trustworthy AI.

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

Alan Turing Institute

Towards Safe, Reliable and Trustworthy AI

Exploring challenges and frameworks for developing safe, reliable AI systems. Introduces spec-consistent machine learning to formalize desired AI behavior for real-world applications.

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

Inside Livermore Lab

Towards Third Wave AI: Interpretable, Robust Trustworthy Machine Learning

Explore new theories and algorithms for complex dynamical systems, creating trustworthy AI for real-time prediction and national security applications. Learn about innovative neural networks and physics-integrated models.

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

USC Information Sciences Institute

Building Trustworthy AI with Common Sense - Lecture

Explore building trustworthy AI with common sense for robust decision-making, discovery, and misinformation tackling. Learn about CARE principles and neuro-symbolic architectures for explainable, adaptive AI systems.

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

DevConf

Guardrails for Trustworthy AI: Balancing Innovation and Responsibility

Explore strategies for implementing trustworthy AI, focusing on fairness, accountability, and ethical use of large language models. Learn to balance innovation with responsible AI practices.

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

USC Probability and Statistics Seminar

A Statistical Journey through Trustworthy AI

Explore statistical perspectives on privacy, robustness, and fairness in AI, focusing on machine un-learning, adversarial robustness, and fair Bayes-optimal classifiers.

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

Alan Turing Institute

How We Are Building Trustworthy AI for Weather and Climate in AI2ES

Explore innovative approaches to developing reliable AI systems for weather and climate prediction, enhancing forecasting accuracy and environmental understanding.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video

Schmid College, Chapman University

Making AI Systems Trustworthy Through Intuitive Design and Human Interaction

Explore key technical approaches for building trustworthy AI systems, focusing on intuitiveness, interaction, explainability, and human domain knowledge integration for more reliable and transparent artificial intelligence.

• YouTube
• 1 hour 53 minutes
• On-Demand
• Free Video

Georgia Tech Research

Building Trustworthy AI for Environmental Science

Explore trustworthy AI methods for environmental science, focusing on weather, climate, and coastal oceanography predictions, with insights on hail and tornado forecasting.

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

Simons Institute

Theoretical Aspects of Trustworthy AI - Introduction

Explore theoretical foundations of Trustworthy AI with Sanjit Seshia, examining key concepts and principles that underpin reliable artificial intelligence systems.

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

Simons Institute

Veridical Data Science Towards Trustworthy AI

Explore the principles of veridical data science and its role in developing trustworthy AI systems with UC Berkeley's Bin Yu.

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