The use of artificial intelligence (AI) in teaching offers many opportunities, but at Häme University of Applied Sciences (HAMK), it is essential to ensure that data protection remains a top priority. The following guidelines explain how to comply with data protection requirements when using AI in teaching at HAMK.

1. Avoid entering personal data into AI tools

When using AI tools such as ChatGPT or similar services, do not enter personal data relating to students or staff. This helps prevent sensitive personal data from being disclosed to external parties. According to HAMK’s guidelines, confidential information must not be entered into AI services.

Excerpts from the terms and conditions of the DeepSeek AI service:

• “When you use our Services, we may collect your text or audio input, prompt, uploaded files, feedback, chat history, or other content that you provide to our model and Services.”
• “We store the information we collect in secure servers located in the People’s Republic of China.”

2. Familiarise yourself with the privacy policies of the AI services you use

Before adopting a new AI tool, carefully review its privacy policy. Ensure that the service processes data in accordance with the EU General Data Protection Regulation (GDPR) and provides adequate safeguards for data processing.

Consider the implications of using a service that does not comply with the GDPR, particularly regarding your ability to have your data deleted. Your data may be sold to third parties, or national legislation may require the service provider to disclose it to government intelligence authorities.

3. Use tools approved by the organisation

HAMK recommends primarily using AI tools provided and approved by the organisation. This helps ensure that the tools meet data protection requirements and can be used securely.

4. Develop your skills and guide students

Ensure that you have sufficient knowledge of AI tools and data protection practices (AI Basics digital badge).

HAMK provides guidance and practical tips for staff and students on using AI in teaching and learning.

HAMK AI Hub

It is also important to guide students in the responsible use of AI and ensure that they understand the importance of data protection.

5. Consider ethical aspects

When using AI, it is important to follow ethical principles such as fairness, equality, and respect for others. The use of AI tools should support students’ learning and the development of professional skills without compromising data protection or privacy.

Arene’s recommendations on the use of AI at universities of applied sciences

An example of the ethically responsible use of AI in student assessment:

AI does not replace teachers but serves as a tool whose use is monitored by the teacher. Any suggestions generated by AI must always be reviewed and evaluated by the teacher. This ensures that final assessments are based on the teacher’s professional judgement and pedagogical expertise.

6. Information classification and its importance

Information classification is a key element of data protection and information security management. It involves categorising information assets according to their confidentiality, integrity, and availability requirements.

At HAMK, information classification helps protect the personal data of staff and students while ensuring the confidentiality and legal compliance of the organisation’s operations.

HAMK’s information classification guidelines

Classification determines how different types of information should be handled and protected. This helps prevent data breaches and ensures that information is accessible only to those who are authorised to access it.

By following these principles, you can help ensure that the use of AI complies with data protection requirements and is ethically responsible.