RESPONSIBLE AI
Autonomy must be earned through evidence, controls and accountability.
Responsible AI for systems of execution requires more than a policy statement. It requires decision rights, source boundaries, privacy, security, evaluation, traceability, incident handling and human review to be built into the system and measured during operation.
01
Human authority and proportional autonomy
The level of autonomy must match the consequences of error, regulatory obligations and the quality of evidence.
- Define who may approve, override and appeal
- Use human checkpoints for consequential decisions
- Limit actions, tools and data access
- Increase autonomy only after evaluated performance
02
Trustworthy operation
Reliable systems make their sources, actions, failures and exceptions observable.
- Privacy and security by design
- Versioned knowledge, rules and tools
- Action logs and evidence
- Testing for quality, bias and unsafe behavior
- Fallbacks, rollback and incident response
RESPONSIBLE AI03
Responsible claims
LaCitty distinguishes designed capabilities, validated outcomes and future objectives. Metrics, testimonials and guarantees are never published without verifiable support.
RESPONSIBLE AILACITTY
Discuss responsible AI
Responsible AI for systems of execution requires more than a policy statement. It requires decision rights, source boundaries, privacy, security, evaluation, traceability, incident handling and human review to be built into the system and measured during operation.