Events & Resources on GenAI

Want to learn more about generative AI? On this page we will link you to relevant events and resources to learn more!


Up-coming events

Bing Chat Enterprise Workshops

Dates: January 30th, February 6th, and March 20th, 2024

In these (identical) 3-hour workshops, you will be introduced to the various ways you can use AI, and more specifically Bing Chat Enterprise in your teaching and teaching preparation. At CBS all staff have access to Bing Chat Enterprise through their CBS login. We will provide a basic introduction to the tool and give examples of how it can be used and how you can prompt Bing.

Read more and sign up in the course catalogue.

Past events

Incorporating ChatGPT into course design

Date: October 13th, 2023, 9.00-16.00

Are you curious about how generative AI can transform teaching in a university setting? In this hands-on workshop, you’ll explore the capabilities of generative AI, understand its implications for teaching and student competencies, and learn strategies for integrating AI into your teaching practice. Whether you’re completely new to AI or have some experience, this workshop will provide you with the insights and tools you need to navigate this exciting intersection of education and technology.

Read more in the course catalogue

Exploring ethical dilemmas of AI in the classroom

Date: November 23rd, 2023, 13.00-15.00

In the first part, Daniel Hardt will survey ethical issues surrounding the use of AI, such as the issues of bias, impact on the labour market, resources required for AI training and intellectual property rights. We will also look at issues involved in using AI for assignments and exams. In addition, we look at broader concerns, including the power of tech companies over AI, and about AI alignment and existential risk of AI.  

The following workshop will take these issues as the point of departure and showcase the teaching formats that can enable you to bring these discussions into the classroom while relating them to NN5. You will consider their relevance to your teaching context through guided reflection and group discussion exercises and identify the activity types that could offer your students productive and meaningful learning opportunities.

Read more in the course catalogue

How does ChatGPT work?
An introduction to the technology behind large language models

Date: June 8th, 2023, 14.30-16.00
Venue: CBS, Kilen, Ks 48

Daniel Hardt, Associate Professor, Ph.D.
CBS Department of Management, Society and Communication

To work effectively and responsibly with the new generative AI tools we need to understand how the tools work and what they are capable of.

In this meeting, we will take a look at the technology underlying large language models like ChatGPT. These models are built using deep learning, a very special form of machine learning. And they also have a very particular internal arrangement, called the transformer model. The combination of deep learning and transformer models, first introduced in 2017, has led to spectacular progress, creating systems that truly rival human intelligence on many important dimensions. We will look at the essential features of this technology, and we will put current developments in the broader perspective of AI research and the general theory of intelligence. 

These new models have already been adopted enthusiastically on a global scale, and they have the potential for productivity improvements in almost every area of human endeavor. At the same time, there are profound challenges concerning plagiarism, bias, the spread of misinformation, and indeed, the potential that humans could simply lose control of this powerful technology, with consequences that are difficult to imagine. We won’t solve these problems at this meeting — but I hope that, with an understanding of the technology, we will all be in a better position to find the way forward with AI.

Daniel Hardt is an associate professor at Copenhagen Business School, department of Management, Society and Communication. His research deals with language from a theoretical and practical point of view, and his primary research areas include artificial intelligence, computational linguistics, and machine learning.

Below are some resources that we have found useful to learn about AI and the current developments in the field as well as its implications on education.

Read a summary of the talk on Teaching & Learning’s LinkedIn page