"As the educational landscape evolves with new generative AI tools, remember that the heart of teaching and learning is undeniably human."
MIT Sloan Teaching & Learning Technologies
Bias and fairness
Generative AI models can potentially reinforce or perpetuate biases present in the data on which they are trained. This can lead to the generation of content that reflects stereotypes, discrimination or underrepresentation of certain groups. Educators should be aware of these potential biases and take steps to mitigate them, such as testing diverse tools before class and discussing the limitations of AI with students.
Privacy and data protection
A large proportion of GenAI technologies that are accessible to the public do not have strong data protection practices. Therefore, it is crucial to protect students' privacy and personal information when using these tools. Before incorporating any tool into the lesson plans or advising pupils to use it, teachers must carefully review the data protection regulations of each one.
Additionally, unless it is clear that all information is managed securely and in compliance with applicable data protection requirements, educators and students should not provide any identifiable or personal data when using GenAI technologies.
Intellectual Property
Generative AI models, especially those generating images, designs and video, can create content that may infringe upon existing copyrights or intellectual property rights. Therefore, educators must have an open and continuous dialogue with students about the importance of respecting intellectual property and the ethical use of AI-generated content.
Age appropriate use
Generative AI models, especially those generating images, designs and video, can create content that may infringe upon existing copyrights or intellectual property rights. Therefore, educators must have an open and continuous dialogue with students about the importance of respecting intellectual property and the ethical use of AI-generated content.
It's a good idea for young people to try out and use AI programs with adult guidance. That way, you can ensure they are using tools that will not introduce them to anything inappropriate. Testing them together can also allow young people to think about how the tools could be both useful and harmful when used with malicious intent.
Valuable Reading
In Pursuit of
Inclusive AI
Microsoft, having previously explored inclusivity in design for various forms of exclusion are now introducing their approach to building inclusive AI. By applying principles of inclusive design and providing a guide to categorise and address AI bias from the start, they aim to help creators of AI systems and the general public to be advocates for developing experiences that are beneficial and inclusive for all.
