Level-2-AI-for-Educators.pptx

• New lesson editor
• Engineering
• Higher Education (degree)

Welcome

to our online

Level 2 AI for Educators

course

Joanne McGovern

[e-mail]

Your Hopes and Expectations for the Course?

Lesson Objectives

• Understand the key ethical principles of AI.

• Define essential AI-related ethical terms.

• Discuss real-world examples of ethical concerns in AI.

• Reflect on how AI ethics can be integrated into education.

AI Ethics in Education

Why does AI Ethics Matter in Education?

1. Fairness

2. Data Privacy

3. Academic Integrity and Plagiarism

4. Transparency

5. Human-AI Collaboration

6. Accessibility

7. Critical Thinking

8. AI Policy and Guidance

What are your Ethical Concerns?

Four Core Ethical Principles

1

Fairness

2

Transparency

3

Accountability

4

Privacy

Remember the four key principles for ethical AI. Implement review processes and risk assessments. Engage stakeholders and provide continuous training. Conduct regular audits for AI systems.

Scenarios: What would you do?

Scenario 1:

AI in Student Grading

An AI-powered grading tool is introduced in your school. Over time, students from disadvantaged backgrounds consistently receive lower scores than others.

1. What ethical issues arise?

2. How should educators respond?

Scenario 1: Your Views

Scenario 2: AI and Student Surveillance

Your school/college/University considers using AI-based monitoring software to track student attendance and behaviour.

1. What are the potential privacy concerns?

2. What guidelines should be in place?

Scenario 2: Your Views

Scenario 3:

AI Chatbots in Education

A chatbot is developed to provide student support, but students rely on it for emotional support.

1. What ethical considerations should be addressed?

Scenario 3: Your View

Implementing Ethical AI Frameworks

Ethics Review

Structured processes for AI evaluation.

Risk Assessment

Protocols to identify potential issues.

Stakeholder Engagement

Involving diverse voices in AI governance.

Training

Programs to promote awareness.

Accountability in AI

Responsibility Chain

Clearly defined roles for AI oversight.

Documentation

Detailed record-keeping for AI processes.

Human Oversight

Essential intervention points for AI systems.

Audit Trails

Version control and tracking of AI changes.

Reflection

1. One key insight you have gained from the session.

2. One way they will apply AI ethics in their teaching.

3. Anything which you would like to hear more about?

https://padlet.com/jmcgovern486/ai-ethics-in-education-fet81j25fycm