AI Ethics

In this chapter we are talking about the non-technical methods to realize the seven requirements of “Trustworthy AI”. In comparison to the last chapter,...

As we have seen in the sections above, we have the four fundamental principles of Trustworthy AI ( respect of human autonomy, prevention of...

The last requirement “Accountability” is derived from the meta-principle of fairness and this requirement is probably the most important one for business leaders and...

This requirement extends the previous requirement “diversity, non-discrimination and fairness” and is deducted from the overall principle of fairness and prevention of harm. It...

Before we discuss today’s fifth requirement, we need to define certain termini to not create confusion. Discrimination Discrimination has been defined by the EU Council Directive...

Today we are talking about the fourth requirement: Transparency. Transparency can be directly linked to the principle of explicability, which we talked about earlier. Transparency...

Privacy and data protection Today we are talking about the third requirement: privacy and data governance. Privacy is always closely linked to the previous requirement...

In the last chapter we talked about the first requirement “Human agency and oversight”. Today we will look into the second requirement “Technical robustness...

The first desired requirement for a trustworthy AI system is human agency and oversight. First and foremost, AI systems should adhere to fundamental rights...

After analyzing the four ethical principles (respect for human autonomy, prevention of harm, fairness & explicability) of the second criterium, we start to explore...