Transparency and explainability of AI are crucial aspects in the development and use of artificial intelligence. This means that actors must be aware of the fact that AI is being used, how decision-making takes place and what the consequences are. Transparency is important because it can increase individual autonomy by allowing individuals to relate to, for example, an automatically made decision. However, it is also important to remember that services are often made up of many components, some of which can be referred to as AI and are not under the direct control of the organisation providing the service.

Bias in AI refers to unintended and disproportionate biases that can arise in AI systems. These biases can arise from the data used to train AI systems, the algorithms used to identify patterns and the decisions made based on these patterns. Bias can lead to unfair treatment and discrimination, such as ignoring certain candidates during recruitment or misclassifying women through image recognition systems.

Privacy and data protection are essential aspects in the application of AI. It is necessary to determine beforehand whether one can comply with the General Data Protection Regulation (GDPR). This means that privacy risks must be mapped out and the appropriate measures must be taken to protect the data of customers, citizens, or patients for instance. The National Data Protection Authority oversees all types of personal data processing, including AI and algorithms.

Safety and control of AI systems are crucial aspects when using AI. AI systems can be used for safety purposes, such as detecting accident risks and predicting malfunctions. However, it is also important to ensure the safety and security of AI systems themselves to prevent them from being abused or hacked.

Legislation and ethics play a crucial role in the use of AI. The AI Act imposes transparency obligations for the use of AI applications, and various ethical codes and principles have been established by industry, science and governments. It is important to balance the benefits of AI with the potential risks to individual privacy and security, among others.