Realizing Trustworthy AI – Non-technical Methods

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, they all have a non-technical, regulatory and organizational character. As with the technical methods, this list is evolving over time and should not be seen as finished. The methods described by… Continue reading Realizing Trustworthy AI – Non-technical Methods

Realizing Trustworthy AI – Technical Methods

As we have seen in the sections above, we have the four fundamental principles of Trustworthy AI ( respect of human autonomy, prevention of harm, fairness and explicability). Out of these principles we derived the seven key requirements (human agency and oversight, technical robustness and safety, privacy and data governance, transparency, diversity and fairness, societal… Continue reading Realizing Trustworthy AI – Technical Methods

Realizing Trustworthy AI -Seventh requirement: Accountability

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 governance officers, because it delivers clear KPIs for AI systems. It is important to note that accountability entails the complete life cycle of the AI system. From development to deployment and… Continue reading Realizing Trustworthy AI -Seventh requirement: Accountability

Realizing Trustworthy AI – Sixth Requirement: Societal and environmental well being

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 desires to include the broader society into the circle of stakeholders. What does this actually mean? Sustainable and environmentally friendly AI First and foremost, the complete supply chain of developing, deploying… Continue reading Realizing Trustworthy AI – Sixth Requirement: Societal and environmental well being

Realizing Trustworthy AI – Fifth requirement: Diversity, non-discrimination and fairness

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 2000/78/EC of 27 November 2000 which established a general framework for equal treatment in employment and occupation. The Directive’s purpose was “to lay down a general framework for combating… Continue reading Realizing Trustworthy AI – Fifth requirement: Diversity, non-discrimination and fairness

Realizing Trustworthy AI – Fourth requirement: Transparency

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 of AI should not only cover transparency of the model, but also of the complete data stack and data processing pipeline (data engineering, filtering, aggregation), the set up of the… Continue reading Realizing Trustworthy AI – Fourth requirement: Transparency

Realizing Trustworthy AI – Third Requirement: Privacy and data governance

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 “Technical robustness and safety” while data governance focuses on the quality and integrity of the data used. The true power of artificial intelligence is the inference of traits, behaviors, sexual… Continue reading Realizing Trustworthy AI – Third Requirement: Privacy and data governance

Realizing Trustworthy AI – Second Requirement: Technical robustness and safety

In the last chapter we talked about the first requirement “Human agency and oversight”. Today we will look into the second requirement “Technical robustness and safety”. This requirement is concerned with risk assessment and prevention of harm. Resilience to attack and security As with any other system, any AI system needs to be resilient to… Continue reading Realizing Trustworthy AI – Second Requirement: Technical robustness and safety

Realizing Trustworthy AI – First requirement: Human agency and oversight

The first desired requirement for a trustworthy AI system is human agency and oversight. First and foremost, AI systems should adhere to fundamental rights as defined by European courts. Fundamental rights To make an informed decision, I looked at the Fundamental Rights as defined by the EU charter from 2012. It is broken down in… Continue reading Realizing Trustworthy AI – First requirement: Human agency and oversight

Realizing Trustworthy AI – From Theory to Reality

After analyzing the four ethical principles (respect for human autonomy, prevention of harm, fairness & explicability) of the second criterium, we start to explore how the HLEG envisions Europe to move forward using AI and how to implement the four ethical principles in real life. Three stakeholders The HLEG identifies three different groups as stakeholders… Continue reading Realizing Trustworthy AI – From Theory to Reality