Introduction to AI for the Common Good
Learn more about the relevance of AI in your professional environment with real-world examples and expert insights. If you’re a public sector or a decision-maker looking to build a responsible and sustainable AI strategy, this course is for you.
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What can you expect?
In this one-day course led by AI expert Emilie Grégoire,
you will learn how AI is being used in the professional environment and
how to harness its power to improve public services.
You will identify AI opportunities, tackle challenges, and break down inspiring use cases through interactive sessions. This training is available in English, French, and Dutch. It will help you create a future-ready AI strategy.
Program
Session 1: Initiation to AI
- Demystification of AI, for learners to build foundation in AI concepts and their applications
- Covers legal, ethical, and philosophical aspects
- Practical insights into machine learning, data processing, and real-world AI implementations
Session 2: Ideation on AI opportunities
- Workshop to explore AI solutions for business needs
- Encourages creative thinking and identifies challenges
- Yields at least one tangible use case takeaway
Session 3: Breaking down some use cases
- Deep dive into relevant use cases
- Showcases practical AI opportunities and solutions
- Tailored to participants for maximum relevance
Why attend this course?
This course is specifically designed for the public sector’s unique needs and will demonstrate how AI can drive meaningful change in government and public services. You will gain the tools to identify AI opportunities, understand the legal and ethical aspects, and learn about practical AI solutions through use cases.
Certification and assessment
The course does not include a formal exam. Certificates of attendance are available upon request.
Teacher / speaker
Emilie Grégoire is a teaching assistant and Ph.D student under the supervision of Prof.Dr. Sam Verboven. In 2021, she graduated with a Master in Physics at the Vrije Universiteit Brussel. Currently, she is working on Multi-task learning for decision support.
