There must be transparent use and responsible disclosure around data enhanced technology like AI, automated decisions and machine learning systems to ensure that people understand outcomes and can discuss, challenge and improve them.

accountable and responsible

Accountable and responsible

Organizations and individuals developing, deploying or operating AI systems should be held accountable for their ongoing proper functioning in line with the other principles.

Human accountability and decision making over AI systems within an organization needs to be clearly identified, appropriately distributed and actively maintained throughout the system’s life cycle.

Identifying and appropriately distributing accountability within an organization helps ensure continuous human oversight over the system is properly maintained.

In addition to clear roles related to accountability, it is also important to promote an organizational culture around shared ethical responsibilities.

This helps prevent gaps and avoids the situation where ethical considerations are always viewed as someone else’s responsibility.