Does the computer give you the job you deserve? AI systems that make important decisions for you can sometimes reaffirm existing biases. By applying fairness notions, developers can address this. We introduce some of these notions to you.
On making legal products and processes accessible using design thinking methodology.
On the impact of AI and automation on employment and workers' rights.
On inclusion, data or media literacy challenges in data and AI applications
On the application of AI in society, in the class room, in your work environment, ...
On the importance of ethical reflection moments in an innovation process: tools and methodologies
On identifying ethical, legal and societal challenges in your data or AI application
About transparency and explainability of AI systems
On identifying ethical, legal and societal challenges in healthcare applications
A tool to explore the possibilities of machine learning and its advantages and disadvantages.
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
