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.
This brAInfood presents a questionnaire for users of AI technology to determine for themselves whether an AI system is behaving ethically or not.
A good way to get acquainted with the idea of explainable AI is to look at IBM Research's AI Explainability 360 Open Source Toolkit. In addition they offer multiple algorithms as a possible start of using explainable AI (XAI).
How much data are you willing to share to fight corona? What is acceptable and what is not? Knowledge Centre Data & Society investigates.
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.
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.
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.
Do you want to know how ethical your AI application is? The AI systems Ethics Self-Assessment Tool helps you to estimate four ethical principles yourself.
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.
This ethical framework is intended for government agencies. However, it can also be useful for other organizations.
The Ethics framework of Machine Intelligence Garage consists of seven principles, each with a set of questions that can lead to a better understanding of how to deal with ethics in your design.
This tool is a self-assessment based on a questionnaire. This can help determine if your company is ready to build a robust, secure and ethical AI solution.