Knowledge Centre for legal, ethical and societal aspects of artificial intelligence and data-driven applications.
A free online course of Agoria on the human, legal, and ethical aspects that need to be taken into account when implementing artificial intelligence (AI) in a company.
25 januari 2021: Het laatste nieuws over data en artificiële intelligentie (AI) voor jou samengevat in een handig overzicht.
The coronavirus confronts us with a social dilemma, which is influenced by our social environment and technology. What can policymakers do to motivate people to take collective action for a long period of time?
This brAInfood exposes potential issues of data sharing using a sample case on ANPR (Automatic Number Plate Recognition).
This brAInfood is about algorithms for machine learning, illustrated by two popular services (Netflix and navigation apps) who make use of these algorithms.
This brAInfood gives you more information on explainability and AI.
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 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).
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.
