responsibility should be clearly and appropriately identified, for ensuring that an AI system is robust and safe.

There should be transparency and responsible disclosure to ensure people know when they are being significantly impacted by an AI system, and can find out when an AI system is engaging with them.

This principle aims to ensure responsible disclosure when an AI system is significantly impacting on a person’s life.

Achieving transparency in AI systems through responsible disclosure is important to each stakeholder group for the following reasons

responsible disclosures should be provided in a timely manner, and provide reasonable justifications for AI systems outcomes.

accountability

Those responsible for the different phases of the AI system lifecycle should be identifiable and accountable for the outcomes of the AI systems, and human oversight of AI systems should be enabled.

Those responsible for the different phases of the AI system lifecycle should be identifiable and accountable for the outcomes of the AI systems, and human oversight of AI systems should be enabled.

This principle aims to acknowledge the relevant organisations' and individuals’ responsibility for the outcomes of the AI systems that they design, develop, deploy and operate.

The application of legal principles regarding accountability for AI systems is still developing.

Mechanisms should be put in place to ensure responsibility and accountability for AI systems and their outcomes.

Mechanisms should be put in place to ensure responsibility and accountability for AI systems and their outcomes.

The organisation and individual accountable for the decision should be identifiable as necessary.

AI systems that have a significant impact on an individual's rights should be accountable to external review, this includes providing timely, accurate, and complete information for the purposes of independent oversight bodies.