brAInfood: how to survive a conversation about artificial intelligence?
Date of publication: February 2020 / Checked if updates were needed: March 2024
What is this brAInfood about?
This brAInfood summarizes 8 concepts that often occur in conversations about artificial intelligence. Once you have read and mastered them, you will be able to have and/or follow a basic conversation about artificial intelligence without difficulty,and you will be in a stronger position when you will take part in a conversation about this topic.
Why should I read this?
This brAInfood will help you understand some basic concepts that often occur in conversations about artificial intelligence. This brAInfood further clarifies some subtle differences between certain concepts (e.g. machine learning, deep learning and reinforcement learning) that are often used interchangeably.
With this brAInfood, the Knowledge Centre Data & Society hopes to foster the debate on artificial intelligence and wishes to clarify some misinterpretations. The next brAInfood will also contribute to this by focusing on the legal and ethical concepts that are part of conversations about artificial intelligence.
What can I find out when reading this?
This brAInfood from the Data & Society Knowledge Centre includes:
- A clear presentation of each of the 8 concepts, including some illustrative examples for a number of concepts.
- And, a clarification of the subtle differences between machine learning, deep learning and reinforcement learning.
With brAInfood, the Knowledge Centre Data & Society wants to provide easily accessible information about artificial intelligence. brAInfood is available under a CC BY 4.0 license, which means that you can reuse and remix this material, provided that you credit us as the source.
