This open-source AI assessment tool from AI4Belgium, based on the European Commission's ALTAI questionnaire, can help you make your AI system more transparent, robust and trustworthy

The Digital Ethics Compass toolkit includes several questions, recommendations and a workshop to learn more about how to design digital products in an ethical way and how to use this as a competitive advantage.

A tool to explore the possibilities of machine learning and its advantages and disadvantages.

How can you avoid replicating societal biases, prejudices and structural disparities in your AI healthcare system? In order to help you do this, the Knowledge Centre Data & Society developed the AI Blindspots healthcare card set.

How can you take into account possible prejudices and structural inequalities before, during and after the development of your AI application? In order to help you do this, the Knowledge Centre Data & Society developed the AI Blindspots card set.

How can you take into account possible prejudices and structural inequalities before, during and after the development of your AI application? In order to help you do this, the Knowledge Centre Data & Society developed the AI Blindspots card set.

A playbook for ensuring transparency in data set documentation.

How can you take into account possible prejudices and structural inequalities before, during and after the development of your AI application? In order to help you do this, the Knowledge Centre Data & Society developed the AI Blindspots card set.

How can you take into account possible prejudices and structural inequalities before, during and after the development of your AI application? In order to help you do this, the Knowledge Centre Data & Society developed the AI Blindspots card set.

How can you take into account possible prejudices and structural inequalities before, during and after the development of your AI application? In order to help you do this, the Knowledge Centre Data & Society developed the AI Blindspots card set.

How can you take into account possible prejudices and structural inequalities before, during and after the development of your AI application? In order to help you do this, the Knowledge Centre Data & Society developed the AI Blindspots card set.

The AI Ethics Lab has developed a toolbox that gives an overview of the different existing sets of principles that you can integrate and/or evaluate in your AI system.

In the cooperative card game Ethics Inc. you design ethically responsible AI applications together.

The need for privacy is rising and more and more important in the development of new applications. LINDDUN is a method developed for the assessment of privacy within an AI application

You’d like to develop products that would make the world a bit better? Omidyar offers a tool to help you with the development of responsible technology. Bonus: you also receive a guide to actually change the way your organisation develops tech.

The Institute for the Future (IFTF) and the Omidyar Network have developed a toolkit to help predict difficult and unwelcome consequences and to prevent these from occurring while you develop products and projects based on AI.

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 approach to guidance ethics aims to start the dialogue about the connection between ethics and technology through a workshop.

The Artificial Intelligence Impact Assessment (AIIA) is a structured method to clearly identify the (social) benefits of an AI system application. In addition, attention is also paid to analysing the reliability, safety and transparency of the AI system.

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.