See how to prepare at the end of this page.
The course focuses on how foresight itself is evolving in a world where AI increasingly shapes how we imagine and plan for the future. It is not about learning to prompt efficiently, but about understanding this transformation and preparing for it.
Read more about the course here: cifs.dk/services/courses/futures-and-foresight-with-ai
The course takes place at the Danish Architecture Center (DAC), Bryghusgade 10, 1473 Copenhagen, located in the BLOX building in central Copenhagen, which also houses the CIFS headquarters.
See map to course venue
No. The program is designed for mixed experience levels. We will guide you through both foresight methods and AI tools in a way that is accessible to all. No technical AI background is required, but we do expect that you have access to a chatbot of your choice.
Yes, but not in a very technical way. At the course we will discuss different AI-mediated foresight tools and we always plan for a bit of hands-on experience but it's not the main focus at the course.
During the course, you will be encouraged to challenge both your own assumptions and those embedded in your organisation. The issues we discuss will be continuously related to your organisational context, as well as to the personal dilemmas you may face as a foresight practitioner. The course also introduces foresight tools designed to help translate insights into organisational settings and decisions.
The Copenhagen Institute for Futures Studies has more than 50 years of experience in applied foresight. The course is facilitated by Senior Futurists Sofie Hvitved and Bugge Holm Hansen and draws on CIFS’ foresight DNA and our newly established Horizon 3 AI Lab (H3 AI Lab).
Yes! It's essential that you bring your laptop and will be able to work with AI tools on it. Sometimes there can be company restrictions, so please check before joining the course. We will be working hands-on with AI tools during the course, so please bring your own laptop.
Yes and no. The course does not require paid AI tools, but we do recommend you to have access to at least one chatbot service with a paid subscription to get the most out of the course. We strive to be platform-agnostic, and we experiment with different types of software in each edition of the course, depending on what is most top of mind. It can also be beneficial to have experimented with tools like Google Notebook LM in order to understand the more multimodal examples of Generative AI.
Yes! In addition to breaks and meals during the course, we host an optional self-paid networking dinner on Day 1. This is a chance to continue the conversations from the day in a relaxed setting and connect with fellow participants and facilitators.
We will have four courses and some bottles of wine included as part of your prepaid dinner. Any additional food or drinks beyond what is served at the table will be at your own expense.
The dinner will take place on the first day of the course on the 8th of June from 19:00-21.30 at PatéPaté, Slagterboderne 1, in central Copenhagen (approx. a 20-minute walk from the venue at BLOX).
See map to the restaurant
Yes. Breakfast, lunch and snacks will be provided on both days. If you have any dietary preferences that you haven't already noted during sign-up, please let us know at courses@cifs.dk.
This course is not about efficiency or productivity hacks. It is about rethinking foresight itself – how organisations imagine, sense, and prepare for long-term futures in an AI-mediated context. It combines CIFS’ foresight leadership with experimental AI practices to create something uniquely positioned between strategy, imagination, and critical reflection.
You will not leave with “10 AI prompts for better foresight slides”. The aim is that you will leave with a reframed mindset, understanding of possible directions of AI, and a community to support you in navigating the next era of foresight.
Below is a set of recommended reads (download link in top of page) - including one mandatory read. We don’t expect you to master neither foresight theory nor advanced AI tools in advance, but it will be good to have an idea of the landscape. Feel free to liquify it into output you prefer - short resumé style, infographic, podcast... your choice 💧
Last year we released the article “Liquid Foresight in an AI-Mediated World” in one of our publications, where we explore the ideas behind Liquid Foresight that is part of the foundation of the course.
It is advised to have a basic knowledge of foresight practice. If you are new to the field, we recommend the following short introductions:
We will not spend course time going through current AI tools for foresight, as these often lock thinking in the present. Still, we encourage you to have experimented with AI tools beforehand, and recommend these perspectives on AI and in particular Generative AI in more long-term implications:
Apart from the course material, we've got a small podcast recomendation in case you need an alternative look into the future of AI Agents in your workforce. "Shell Game" is a podcast about things that are not quite what they seem, hosted by investigative tech journalist Evan Ratliff, whom we previously had the pleasure of hosting at one of our events in Copenhagen. In the second season, Ratliff sets out to build a company run by AI agents and documents the process from the inside. It is both genuinely funny and surprisingly insightful, offering a sense of what an agentic workplace might actually feel like in practice!
You can listen to Shell Game podcast here: https://www.shellgame.co/
We want to give you a few different ways to engage with the course material before we meet. We have prepared three interactive options, which we also refer to as liquid content. Feel free to choose the format that best fits how you like to digest information.
A 15-minute conversational podcast build on course materials made in Google NotebookLM that you can hear whenever you have some time commuting to work, cleaning the house or going for a walk.
You can download the podcast in one of these links:
A CustomGPT build on the course materials that you can ask it questions about the course, the recommended readings, key concepts, or anything you would like to clarify before we meet. You need have access to ChatGPT in order to use it.
Access it here: https://chatgpt.com/g/g-68d107b9756c819187d59ca6677505df-futures-foresight-with-ai-participant-assistant
Finally, we have prepared a small set of markdown files that you can upload to the LLM of your choice. Whether you’re using LeChat, Claude or a company chatbot, you can build your own version of the course assistant. The files contain the underlying knowledge of the course in a machine-readable format (in this case as markdown files). We have also included a short setup guide in the folder.
Download updated folder after day 1 (incl. David. Caswells presentation)
The liquid content is designed to make it easier to engage with the course material. However, since the outputs are AI-generated, they may not always fully align with the CIFS approach. Please use them as exploratory companions, not as validated outputs.
If something feels off, double-check it against the source materials we have shared with you, or bring it with you as a question for the course. That kind of friction is part of what we will be exploring together.
