Anmeldung: AI empowerd research - Exploring benefits and limitations of using artificial intelligence (AI) in the research process
Dieser Kurs startet am 23.09.2024. Bitte beachten Sie, dass dieser Zeitraum Selbstlernanteile beinhaltet, die Sie vor, zwischen oder nach den gemeinsamen Terminen individuell bearbeiten müssen.
Termine
- 23.09.2024, 09:00 bis 17:00 Uhr, Online
Selbstlernanteile
Selbstlernaufgabe vor dem Kurs ca. 1 Stunde
Kursleitung
- Dr. Thomas Teichler, Leadership Coach
- Ruben Bach
- Forschende
- Nachwuchswissenschaftler*innen
- Forschungsmanagement
- Allgemeine Weiterbildung: Forschung 11 AE
Artificial Intelligence
(AI) will revolutionize the way we live and work. Young researchers might need
to manage their career or already their Post Doc, in a world, where most
knowledge work can be done better by AI than by humans. The objective of this
workshop is to show how AI can support and potentially transform the research
process using the example of writing a paper or chapter.
In this workshop, participants will receive an introduction to AI, become aware
of the opportunities of AI, experience several of the best tools for research,
but also the risks this technology brings along. And they will have
internalized that not using AI will mean – due to the exponential growth
inherent in the technology – foregoing a chance to significantly improve their
research. The skills can usefully be applied also for the guidance of master
and bachelor students.
The workshop is directed at PhD candidates and early career researchers who are
interested in using AI for their research, are not yet proficient in applying
this technology and wish to get a practical introduction to the topic. The
workshop will cover the basics of what AI and participants will not be required
to do coding, data processing, feature engineering, or model selection. In
other words, the workshop is directed at researchers who want to start using
popular AI tools such as ChatGPT or Gemini and NOT for those who have already
ample experience and wish to use technical AI tools such as TensorFlow or
PyTorch.
Lernziele
• Overview of core concepts
and technologies and the likely development
• Introduction to state-of-the art AI applications for researchers such as
ChatGPT, Google Gemini, Poe
• Designing effective prompts
• Practical application of AI to support working on participants’ papers or chapters,
• Critical reflection of selected legal issues, advantages and limitations of
using AI
Dies ist ein Onlinekurs.
Nach der Anmeldung finden Sie im Kurs weitere Informationen.
Den virtuellen Kursraum finden Sie spätestens kurz vor dem Termin ebenfalls im Kurs.
Anmeldung zum Kurs
Buchung für externe Teilnehmer*innen
Dieser Kurs kann kostenpflichtig gebucht werden.
Bitte beachten Sie unsere Datenschutzhinweise (PDF) und
senden Sie Ihr ausgefülltes Anmeldeformular (PDF)
an dsc.service@uni-luebeck.de