Student Data Privacy in the Artificial Intelligence Age

We are pleased to announce the publication of a lesson titled “Student Data Privacy in the Artificial Intelligence Age,” prepared by the SPADATAS Consortium. This educational resource addresses critical issues related to student data privacy in the era of artificial intelligence, providing valuable insights and guidance for educational institutions.

The key points covered in this lesson include:

  1. Data Protection: Emphasizing the importance of preserving the confidentiality of student data, encompassing sensitive information such as names, social security numbers, grades, and other personal details.
  2. Security Measures: Exploring the implementation of robust security measures, including stringent password protocols, two-factor authentication, regular system updates, and transparent data handling policies.
  3. Proactive Steps: Highlighting the necessity for educational institutions to proactively secure student data, fostering a secure learning environment.
  4. Training and Awareness: Addressing the significance of educating staff regarding data privacy and security.
  5. AI Capabilities: Discussing the capacity of artificial intelligence to efficiently process and analyze extensive data sets, along with the potential risks related to data misuse through AI technology.
  6. Data Privacy Concerns: Providing insights into the risks associated with data privacy breaches, unauthorized data access, and misuse.

We invite you to read the full article on Zenodo to gain a deeper understanding of the challenges and solutions concerning student data privacy in the age of artificial intelligence. Your feedback and insights on this critical issue are highly valued as we continue to work towards safeguarding student data.

Access the full lesson on Zenodo: Student Data Privacy in the Artificial Intelligence Age