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

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.

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.

Technology impacts us in many ways, from individual to societal and open to closed impact. All these forms of impact are gathered in the Product Impact Tool to help researchers and developers reflect on the technology.

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.

A component of designing new technologies is imagining the impacy they will have on the world. In order to facilitate this Artefact created the Tarot Cards of Tech . These cards can. be used during team meeting to perform an informal impact assessment

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.

With the Building an Algorithm Tool you ask ethical questions during the entire AI process: the design, development, test phase and implementation of the AI application.

This tool by FAT/ML ( ‘Fairness, Accountability and Transparency in Machine Learning’) has as goal to promote the following ethical principles: responsibility, explainability, accuracy and accountability.