| Title | Time | Room | Teacher |
|---|---|---|---|
| NEW: Deep Science Futures - In Person | 02.12.2022 09:30 - 16:30 (Fri) | AI Campus Berlin, Max-Urich-Straße 3, 13355 Berlin | Prof. Dr. Rothe, Hannes Zebhauser, Jonathan |
Please note that all participants for this course will first be placed on a waiting list. You will shortly receive a confirmation message if places are available.
Participation
Doctoral researchers and postdocs of all disciplines. No prior knowledge and experience on programming, Artificial Intelligence technologies, statistics or innovation needed.
Objectives
Why and how?
Artificial Intelligence will shape human life and work in the 21st century profoundly. Together, we will explore how AI can be brought to good use for society and individuals. We provide entry-level methods for assessing use cases for Machine Learning and walk with you through your first “no code” implementation. Join us in shaping and reflecting this new wave of AI-based innovations.
To frame our joint undertaking, we use the Sustainable Development Goals (SDGs) proposed by the UN. The SDGs include all sort of fields such as education, industrial or economic contexts, societal inequalities, sustainability, peace or climate, to name only some.
- Assess the potentials of AI technologies, including machine learning, for different use cases
- Develop ideas for AI applications that have a positive impact on our society
- Discuss opportunities and risks of AI for real world challenges
- Design your AI-based prototype, without or with coding (your choice)
Content
1) Do we need AI – or how does AI solve my problems?
What is AI and ML? What problems can AI effectively solve? What is the current impact of AI technology on economy, society and ecology? How can you apply AI to your domain or a given problem?
2) AI needs you – or why AI applications rely on your domain knowledge?
Why do AI applications rely on knowledge and skills that you have?
3) Creating your first AI-based application:
Use methods from design thinking to frame your idea for an AI-based application and work step-by-step towards your first AI-based prototype. We use a no-code tool (but you can use code as well if you like).
Further Information:
Preparation: Please bring an idea or problem you want to work on. You can use the SDGs (https://sdgs.un.org/goals) as inspiration. If you do not identify a specific idea for application beforehand, we will guide you through the necessary steps. Both individuals and teams are welcome.
Why you: This course is tailor-made for doctoral students and postdocs who have gathered domain expertise, whether it is from the life sciences, geography, humanities, or social sciences. You conceptualize concrete applications for AI. We will provide guidance and tools to quickly delve into applications for this “new” technology. Together, we will discover ideas and concepts for an AI-based solutions to a real-world problem that aims to make a difference. We use design thinking methods to generate ideas and concepts together.
Continuing Support: We help you all the way – even after our workshop: For individuals or teams who seek to take further steps to realize their ideas, we support you in finding collaboration opportunities with the K.I. Entrepreneurship Zenturm (K.I.E.Z.) and Profund Innovation, who can help you to get the funding and expertise necessary for realizing such an idea.
The course is a joint offer of Digital Entrepreneurship Hub, Freie Universität Berlin, and ICN Business School.