Ethics and Social Implications of AI
Socially Responsible AI
Cyber2A training curriculum for Arctic-AI research
~ DRAFT ~
Preface
Workshop Development Guidelines
Introduction to AI and Arctic Science
1
Breaking the Ice with AI in Arctic Science
2
AI for Everyone: An Introductory Overview
Guest Lecture (Anna, Chandi)
The Fun and Frontiers of AI: Innovation, Imagination, Interaction
Data Management and Preparation for AI
3
AI-Ready Data in Arctic Research: Principles and Practices
Guest Lecture - Unveiling the ARTS Dataset for a Thawing Frontier
4
Data Annotation: The Foundation of Deep Learning Models
5
Hands-On Lab: Data Annotation
AI Fundamentals and Techniques
The Building Blocks of Neural Networks and Deep Learning
Introduction to PyTorch: Core Functionalities and Advantages
Hands-On Lab: PyTorch
Exploring Advanced Neural Networks: Semantic Segmentation
Introduction to Deep Learning Libraries for Image Analysis
Hands-On Lab: MMSegmentation
Advanced AI Workflows and Models
AI Workflows and MLOps: From Development to Deployment
Hands-On Lab: AI Workflows
Foundation Models: The Cornerstones of Modern AI
Hands-On Lab: Foundation Models
Ethics and Social Implications of AI
AI Ethics
Socially Responsible AI
Reproducibility
Ethics and Social Implications of AI
Socially Responsible AI
Socially Responsible AI
AI Ethics
Reproducibility