We will need to cover the loss of reputation, quality, safety, trust, and perhaps the loss of our business

By applying QA rigour to areas like workplace safety, data security, environmental sustainability, ethical

They serve crucial functions in ensuring: Quality control Safety standards Sustainability practices Security

capable of independent decision-making and action, we face a fundamental choice in how we approach AI safety From External Constraints to Internal Architecture Traditional AI safety approaches focus on external

compliance operability—the organization's ability to consistently deliver on all obligations across safety

outputs using a feedback-management-control is often too slow and too late specifically with respect to safety

the Learn Startup Approach to support implementation of compliance programs across all obligations: safety

ownership of obligations is a driving force is when contractors are used and where accountability for safety party is responsible for the work doesn't necessarily result in the transfer of accountability for safety

Benefits can be realized early rather than later and this is critical when it comes to advancing quality, safety

covered need an overarching assurance framework across existing compliance management systems (e.g. safety

This is something that paper-based approaches could never do and what is necessary to achieve safety

This requires several things working together to produce the outcome of compliance: Better safety, security