· 2. The Principle of Non maleficence: “Do no Harm”
By design, AI systems should protect the dignity, integrity, liberty, privacy, safety, and security of human beings in society and at work.
· 2. Data Governance
Even if the data is handled in a privacy preserving way, there are requirements that have to be fulfilled in order to have high quality AI.
· 4. Governance of AI Autonomy (Human oversight)
The correct approach to assuring properties such as safety, accuracy, adaptability, privacy, explicability, compliance with the rule of law and ethical conformity heavily depends on specific details of the AI system, its area of application, its level of impact on individuals, communities or society and its level of autonomy.
· 7. Respect for Privacy
Respect for privacy
· 7. Respect for Privacy
Privacy and data protection must be guaranteed at all stages of the life cycle of the AI system.
· 7. Respect for Privacy
privacy and data protection must be guaranteed at all stages of the life cycle of the AI system.
· 7. Respect for Privacy
Organisations must be mindful of how data is used and might impact users, and ensure full compliance with the GDPR as well as other applicable regulation dealing with privacy and data protection.
· 7. Respect for Privacy
Organisations must be mindful of how data is used and might impact users, and ensure full compliance with the GDPR as well as other applicable regulation dealing with privacy and data protection.