Equipping UEF Law School with
Generative AI Knowledge and Skills

Possibilities, Uses and Challenges of Generative AI in Teaching and Research

Client Overview

University of Eastern Finland (UEF) Law School seeking to empower staff and doctoral students with Generative AI knowledge and skills.

Industry

Higher Education – Law

Business Processes

Teaching, Research, Academic Administration

Problem

The UEF Law School faced the challenge of adapting to the rapid expansion of generative AI in education and research. The school needed to address:

  • Balancing student use of generative AI tools with academic integrity
  • Integrating AI into teaching methods to prepare future lawyers
  • Leveraging AI for innovative learning scenarios and critical thinking development
  • Navigating the ethical implications of AI in legal research
  • Developing a unified approach to AI adoption among faculty

First, they needed to equip their staff and doctoral students with a comprehensive understanding of GenAI’s possibilities, uses, and challenges in teaching and research.

Solution

Data Design provided a comprehensive training session on Generative AI for 150 staff members and 150 doctoral students.

Explore GenAI Fundamentals

Introduce core AI principles and explore the unique capabilities of generative AI.

Hands-on Learning

Provide interactive exercises and demonstrations on effective AI prompting and real-world applications in law.

Address Ethical Considerations

Discuss responsible AI use, addressing biases, and maintaining data privacy in academic settings.

The hands-on exercises were eye-opening. They not only demonstrated the capabilities of GenAI but also its limitations and the importance of human oversight.

Today's exploration of AI is just the beginning. It's up to us to continue learning, adapting, and innovating to harness AI's full potential responsibly.

Results

  • Comprehensive understanding of GenAI principles and applications in law
  • Practical skills in AI prompting and usage
  • Awareness of ethical considerations and challenges in AI adoption
  • Foundation for future AI integration in teaching and research
  • Increased readiness for AI-driven innovations in legal education

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