Ethical Use of Artificial Intelligence in Education

Course Description

This comprehensive course, "Ethical Use of Artificial Intelligence in Education," is designed to equip students with essential knowledge and skills to responsibly navigate the integration of AI in the educational landscape. In today's era of digital transformation, AI has emerged as a revolutionary technology impacting various aspects of contemporary life, including education. While AI has the potential to transform classrooms, personalize learning, improve efficiency, and expand educational opportunities, it also brings significant challenges, particularly in terms of ethics and responsibility.

This course delves deep into the generalities and ethical use of Artificial Intelligence, providing students with a solid foundation to address the responsible use of this technology in their educational journey. Throughout the course, participants will develop a thorough understanding of AI fundamentals, analyze its ethical implications, examine frameworks for ethical AI use, and cultivate decision-making skills in AI-driven environments.

What students will learn from the course

• Understand fundamental ethical principles and their relevance in AI use, promoting academic integrity in the learning process.
• Identify the correct use of AI in the learning process.
• Mitigate inappropriate use of AI in the educational environment.
• Recognize various international norms and regulations guiding the ethical use of AI.
• Develop skills for ethical decision-making through case studies and practical scenarios.
• Responsibly and ethically use generative AI tools to support the creation of resources in academic training.

Pre-requisites or skills necessary to complete the course

• Basic computer skills
• Familiarity with fundamental artificial intelligence concepts
• Motivation to explore the ethical aspects associated with AI use

What the course will cover

• Foundations of Artificial Intelligence and its ethical implications
• Regulatory frameworks and academic journal principles on AI use
• Ethical practices in integrating AI into the learning process
• Copyright and intellectual property in the context of AI
• Best practices for ethically using generative AI tools in learning
• Privacy and data protection in AI-driven educational environments
• Identification and mitigation of AI biases
• Case studies and practical scenarios for ethical decision-making

Who this course is for

This course is ideal for students, educators, and administrators who want to gain a comprehensive understanding of the ethical use of AI in education. It is particularly beneficial for:

1. Students looking to enhance their academic integrity while leveraging AI tools
2. Educators aiming to integrate AI responsibly into their teaching methods
3. School administrators seeking to develop ethical AI policies
4. Anyone interested in the intersection of AI, ethics, and education

How learners can use these skills in the real world

The skills acquired in this course will enable learners to:

1. Make informed and ethical decisions when using AI tools for academic purposes
2. Develop and implement ethical AI policies in educational institutions
3. Critically evaluate AI tools and their potential impacts on learning and academic integrity
4. Protect personal and institutional data while leveraging AI technologies
5. Contribute to discussions and policy-making regarding AI use in education
6. Enhance their academic and professional work through responsible AI integration

Syllabus

Lesson 1: Foundations of Artificial Intelligence and its ethical implications

• Fundamentals of AI (how it works, its results, and uses)
• AI applications in the educational context
• Introduction to ethics and its relevance in the AI era
• Ethical principles of using AI models in the classroom
• Case studies: examples illustrating the need for ethics in AI

Lesson 2: Application and responsible use of artificial intelligence

• Regulatory framework on AI use
• Ethical Principles of Academic Journals on the Use of Artificial Intelligence
• AI-powered plagiarism detection tools

Lesson 3: Ethical Practices in AI Integration in the learning process

• Managing references and citations in artificial intelligence projects
• Copyright and Intellectual Property in the AI Context
• Key aspects to consider when integrating AI into learning
• Correct use and application of AI

Lesson 4: Best practices for ethically using generative AI tools in the learning process

• Generative AI tools that support the learning process
• Review of privacy policies and terms of service for tools
• Identification of biases that AI tools could generate
• Best practices to ensure data privacy
• Best practices to ethically and responsibly integrate generative AI tools into the learning process