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AI Fundamentals

An overview and instructions for the course.

About This Course


Outlines for responsible AI use in education, balancing benefits with ethical, privacy, and safety challenges, and calls for institutional accountability.

Introduction and Background

Emphasizes guidelines for AI in education, focusing on transparency, eliminating biases, ensuring privacy and data security, and promoting responsible use.

Guidelines for Responsibly Deploying AI

This chapter outlines a framework that serves as a simple roadmap to guide the responsible use of AI education tools.

AI Responsible Use Framework

Two case studies are presented here to illustrate potential issues with using AI and the guidelines and actions taken to address them. 

Case Studies

In This chapter, examples of bias in AI applications in education and how they can be addressed in a responsible use policy.

Responsible AI Use Policies

Looking Forward

Resources

References and Notes

Additional Resources

Pass the knowledge quiz with a score of 100% to earn the course completion certificate.  

Knowledge Check

This course will equip you with the knowledge and skills to integrate AI tools while ensuring fairness, transparency, and inclusivity. You will learn about best practices for responsible AI usage through a series of interactive modules and case studies. It includes an AI Responsible Use Framework to guide the deployment of AI tools in education.This course is asynchronous, allowing participants to engage with course materials at their own pace and according to their schedules. If you have any questions or comments about this course, we encourage you to post them in the <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.eduvators.net/community/eduvators-network-1298">Eduvators Network Community</a> # Discussion channel.

Welcome to the "Responsible Use of AI Education Tools" course! As artificial intelligence (AI) continues to transform the educational landscape, it is crucial for educators to harness its potential responsibly.

Responsible Use of AI Education Tools

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What you will learn

Explain the implications of AI integration in educational settings, including potential benefits and challenges.

Identify key responsible use considerations in deploying AI tools for education, such as transparency, bias, fairness, and data privacy.

Apply the AI Responsible Use Framework to guide decision-making when implementing AI education tools.

Analyze case studies to recognize common issues in AI implementation and develop appropriate solutions.

Design policies and guidelines for responsible AI use in educational institutions, addressing data privacy, security, and ethical concerns.

Implement best practices for maintaining human oversight and accountability in AI-assisted educational processes.

Understand the importance of ongoing education and training for stakeholders involved in AI implementation.

Course content

Course Description

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