Independent Audit of AI systems

ForHumanity supports an infrastructure of trust predicated on the 50+ year track record of financial accounting and reporting. This infrastructure of trust is founded on a principle of jurisdictional sensitivity, which means that each sovereign nation-state or region has the right to establish their own laws, regulations, guidelines, and shared moral framework. ForHumanity affirms that right by ensuring that our certification program upholds local laws and seeks approval, where applicable, from local authorities. Key elements of Independent Audit of AI Systems are critical to ensure that it functions properly across multiple different jurisdictions, these are non-negotiable elements of the shared moral framework that constitutes Independent Audit of AI Systems and they include concepts such as transparency, disclosure, independence, risk management, and ethical oversight.

ForHumanity believes that a binary (compliant/non-compliant) set of criteria, either adopted by common practice in the marketplace or approved by the sufficient governmental authorities, and subsequently assured for compliance independently by certifying bodies (auditors), can create an infrastructure of trust for the public that assures compliance with laws, regulations, guidelines, standards, and best practices in a proactive manner when combined with the requirement for regular, mandatory, independent audits.