Students must be able to answer the following questions in a binary manner without the “not applicable” option. Furthermore, for the AI system’s assessment to be ethical and legal, the questions must be answered affirmatively.
The principle of transparency serves as the foundation for trust and accountability within the school community. It encompasses the clear communication and understanding of how AI tools work, how they are used in educational settings, and the implications of their use for all stakeholders, including teachers, students, and families or guardians.
Questions
No.
Can the accuracy of content generated by an AI system be evaluated?
1.1
Can you identify whether the content you obtain with a system has been created by AI?
1.2
Can you critically explain the capabilities and limitations of an AI system?
1.3
Did you know that AI systems include algorithmic biases?
1.4
Did you know that algorithmic biases have an impact on your learning process?
1.5
Does the AI system alert you in the event of a serious incident or error in its operation?
1.6
Does the AI system request your consent before using it?
1.7
Is the content generated by generative AI accurate and specific?
1.8
The principle of justice and equity emphasizes inclusion and equitable outcomes for all members of the educational community. It requires that AI technologies be designed, implemented, and used in ways that consider and respect the diversity of backgrounds, identities, and needs within the school environment.
Questions
No.
Does the AI system use discriminatory variables?
2.1
Does the AI system adapt to your individual preferences and abilities?
2.2
Does the AI system adapt to your needs during use?
2.3
Do you consider that the system does not discriminate against you in relation to the rest of the students?
2.4
Do the results of the AI system have an impact that reinforces discrimination, stereotypes or prejudices?
2.5
What measures are in place to detect and correct possible biases in the results generated by the AI system?
2.6
The principle of safety and non-maleficence related to AI in education requires that the deployment and use of AI systems do not negatively affect the well-being of students, teaching staff, and the broader educational community. Primarily, this involves careful consideration of how these systems can impact mental health and taking proactive measures to mitigate potential negative effects.
Questions
No.
Does using the AI system enhance your learning by strengthening your critical thinking and creativity?
3.1
Do you use the AI system as a tool for your learning?
3.2
Does the AI system negatively affect your mental health?
3.3
Are you aware of the potential risks or harm that the AI system could cause you if you use it for purposes other than those indicated by your teachers?
3.4
Can you revoke your consent to the AI system at any time without it starting to malfunction?
3.5
The principle of responsibility in the use of AI in education involves ensuring that all stakeholders involved in its deployment are knowledgeable about its ethical use and have developed a reflective stance on the impact of AI tools on teaching, learning, and the well-being of the school community, as well as on the active management of potential risks associated with these technologies.
Questions
No.
Are you aware of your responsibilities when using AI systems in relation to your learning and performance?
4.1
What are the measures for monitoring and verifying the results of AI systems?
4.2
Do you know how the AI system influences your decision-making?
4.3
Are you exaggerating the capabilities of the AI system?
4.4
Do you attribute essential teaching functions to the AI system?
4.5
Are you familiar with and do you apply the code of ethics for the responsible use of AI developed by your educational institution?
4.6
The principle of privacy concerning AI in education involves ensuring that the personal information and right to data confidentiality of all individuals in the educational ecosystem are respected and protected. This entails implementing robust data protection measures, transparent data usage policies, and giving individuals control over their own information.
Questions
No.
Are you aware of the risks involved in providing your data to AI systems?
5.1
Do you have other reliable sources that can validate the data or the response given?
5.2
Is the data inclusive in terms of the amount of material and your learning prospects?
5.3
Is the data representative of the educational community?
5.4
Can you request that your personal information be modified or deleted from the AI system?
5.5
Do you know whether your personal data is anonymised or encrypted once it is entered into the AI system?
5.6
The principle of autonomy applied to AI in education refers to the fact that AI tools should respect and promote the independent decision-making of all individuals in the educational ecosystem. This means that AI technologies should support the ability of educators and students to make informed decisions about their own teaching and learning processes.
Questions
No.
Does the information generated by the AI system influence your knowledge?
6.1
How do you protect your privacy when using the AI system?
6.2
Do you know how you interact with an AI system?
6.3
Can the system’s level of autonomy be adapted to your preferences and needs?
6.4
Does the AI system encourage you to develop sympathy, empathy or a tendency to overestimate its capabilities?
6.5
The principle of sustainability in the use of AI in education involves ensuring that its deployment is carried out in an environmentally responsible, economically viable, and socially equitable manner. From an environmental perspective, the sustainability of AI in education requires attention to the energy consumption and carbon emissions associated with training and operating AI models. Educators and institutions should advocate for and choose AI solutions designed with energy efficiency in mind and that prioritize the use of renewable energy sources.
Questions
No.
What does the concept of sustainability mean in relation to AI systems?
7.1
Do you know if the AI system takes measures to increase its energy efficiency?
7.2
Do you know the average lifespan of the AI system?
7.3
Does the AI system use renewable energy sources and green computing practices?
7.4
Do you participate with other educational institutions in initiatives focused on promoting sustainable AI practices?
7.5
Recommendations
No.
You should test and evaluate the accuracy of content generated by an AI system.
1
The AI system must always indicate that the result has been produced by artificial intelligence.
2
You must listen to and explain the capabilities and limitations of the AI system.
3
The AI system is fed with data that includes biases from different sources, which will also be included in the result.
4
If the AI system suffers a serious incident or error, you will receive a notification informing you of this.
5
The AI system must request your consent before using it to ensure that its operation is understood.
6
Recommendations
No.
The AI system may include discrimination in the variables that underpin its operation.
1
The result generated by the AI system cannot discriminate against any student in relation to others.
2
The AI system adapts to individual preferences and abilities, as well as learning needs.
3
The AI system cannot reinforce:
4
Measures must be used to detect errors and correct them, if necessary, without compromising the functioning of the AI system.
5
Recommendations
No.
The AI system is a learning tool.
1
Find the balance between critical thinking and creativity so that these skills are not impaired by the use of the AI system.
2
The use of the AI system must not be detrimental to physical or mental health.
3
The use of the AI system beyond its intended purpose will generate risks and may cause harm.
4
It is essential that you consent to the use of the AI system. You may revoke your consent at any time without compromising your performance.
5
Recommendations
No.
You must be aware of and responsible for the use of the AI system in the learning process and its impact on results and knowledge in general.
1
The AI system must always be under human supervision and subject to corrective measures in order to control its results.
2
The hyperbole surrounding AI systems is not exaggerated, adding to the discourse that attributes magical capabilities with unlimited functions to them, as they can in no way replace the defining and human functions of teachers.
3
The AI system must be based on and comply with the code of ethics developed by representatives of the entire educational community.
4
Recommendations
No.
You must be familiar with your AI system:
1
The sources of knowledge for learning must be very diverse and cannot be limited solely to AI systems.
2
The data used in the AI system must be representative of society and inclusive of all possible diversities and options.
3
The data entered into the AI system can be modified or deleted at any time.
4
Data entered into the AI system must be protected using techniques that comply with the law, such as anonymisation or encryption.
5
Recommendations
No.
When using the AI system, autonomy must always be protected and guaranteed.
1
The AI system must be able to adapt to:
2
The AI system must not encourage or awaken the feeling of overestimating human capabilities in favour of itself.
3
Generative AI systems also collect the data that is entered.
4
Clause recommendation
No.
You should use the AI system consciously, as it has an environmental cost and the planet’s resources are limited.
1
The AI system must provide for measures to increase energy efficiency.
2
You should be aware of the system’s useful life, the economic cost and the environmental impact of its maintenance.
3
Renewable energies and green IT must be explored and used to power the AI system.
4
Generative AI systems have a high impact on environmental resources, which must be taken into account when using them.
5