Principle 2 – Privacy & Security
throughout the AI System Lifecycle; to be built in a safe way that respects the privacy of the data collected as well as upholds the highest levels of data security processes and procedures to keep the data confidential preventing data and system breaches which could lead to reputational, psychological, financial, professional, or other types of harm.
· Prepare Input Data:
2 The confidentiality of data ensures that information is accessible only to those who are authorized to access the information and that there are specific controls that manage the delegation of authority.
· Build and Validate:
It is crucial that the system safeguards confidential and private information, even under hostile or adversarial conditions.