Unlocking Generative AI: From Theory to Practice with ChatGPT and Perplexity in academic research
This workshop will focus on generative artificial intelligence and its applications in scientific research. Participants will gain a broader understanding of generative AI, exploring not only ChatGPT, but also the opportunities and limitations of Perplexity, a relatively unknown generative AI tool.
Students will develop knowledge about the history of AI, the concept of co-intelligence, and data security. The workshop will be structured in two parts, each combining a theoretical introduction with a practical session, allowing participants to apply what they have learned to typical academic tasks they are currently facing (scientific research, etc.).
The first part will focus on ChatGPT, explaining its strengths, limitations, how it works, and the risks and opportunities it presents, particularly in scientific research, with a focus on “hallucinations” and confidentiality issues.
The second part will introduce Perplexity, illustrating its strengths, weaknesses, and usefulness, especially for bibliographic research in academic contexts.
The workshop will conclude with a question and answer session and an assessment of the learning objectives achieved, with the aim of building knowledge about AI, deepening understanding of its strengths and limitations, and promoting the responsible use of these tools in scientific research.
Ziele
The workshop will enable them to:
- Acquire basic knowledge about AI, including its history.
- Develop critical thinking about the relationship between human and machine actions.
- Internalize the strengths and limitations of AI by observing different types of AI and their use of personal data
- Describe how ChatGPT works in simple terms
- Identify the risks and opportunities associated with ChatGPT.
- Use Perplexity in scientific research and distinguish its use from that of ChatGPT
Zielgruppe
Studierende
Students (BA, MA, or PhD candidates at Unifr or HES-SO) from all disciplines who want to learn about AI, its implications for ethics, and its role in the academic world.
Voraussetzungen
- No prerequisites required
Kursverantwortliche und Referierende
Referierende
TISTARELLI Giada
Daten und Orte
| Datum | Ort |
|---|---|
| 22.10.2025 von 08:15 bis 12:00 | PER21 - B205 |
Zusammenarbeit
This training is part of the EduKIA program, jointly developed by the HES-SO and the University of Fribourg, and offered within the framework of the “Open Education & Digital Competencies” project (PgB 2025–2028).
Bemerkungen
When using AI in class, you should always follow the rules set by your institution, faculty/department, and consult your professors for each specific course.