The Belgian FPS Economy published an extensive study in relation to the impact of AI on Belgian economic law (e.g. IP, insurance, competition law etc.)

In this brAInfood you can read more about the setup of a Datawalk and take a look at some examples of data hubs that you can encounter in the city.

In this brAInfood, we take a closer look at the possible legal restrictions you may encounter when using data.

The European Commission proposed a Data Act. This act includes e.g. new rules on B2C and B2B data sharing (use, access and portability) and B2G data sharing.

In this brAInfood, we briefly explain a number of types of transparency, and how best to tackle that balancing act between too little or too much transparency.

The Data Ethics Canvas provides tools to address ethical questions during the design and development of a project or product based on data, such as an AI application.

The Aequitas tool performs an audit for your project. This method is intended to analyze whether there are prejudices in the data and in the models you use. You can perform the audit via the desktop or online tool.

The AI Maturity Tool is intended to find out to what extent your organization is ready to get started with AI.

The creators of the Data Ethics Guide want to highlight the issues surrounding ethics and make them manageable for companies that work with AI technology. They introduce different concepts of how ethics can be researched within a company. They do this through questions that help determine the current ethical situation.

This tool was created by and for data scientists. It consists of various methodologies that all can be applied at the start of a project. The aim is to document ethical issues and decisions in this regard, for example, to provide accountability towards stakeholders.