Intro / Problem
AI can be useful in real business work, but only when people understand the boundaries. Teams need to know what is approved, what should not be entered into tools, when outputs need review, and when a question should be escalated.
Sixth City AI’s safety and ethics approach is practical: make AI useful, safe, and repeatable through responsible work habits.
What safe AI use means here
For Sixth City AI, safe AI use means practical responsible-use habits: approved-use boundaries, sensitive-data awareness, human review, output checking, and escalation when a question needs more review.
What safe AI use does not mean
Safe does not mean legal assurance, compliance assurance, cybersecurity assurance, privacy assurance, regulatory assurance, guaranteed correctness, or risk elimination.
Human review remains central
AI outputs should be checked by people who understand the work, the audience, and the decision context. AI should support judgment, not replace it.
Practical guardrails support adoption
Guardrails help teams understand what is allowed, what requires review, and where caution is needed. They make responsible AI use easier to explain and reinforce.
Ethics as an everyday practice
Responsible AI adoption is not just a policy document. It is a set of daily work habits: asking better questions, using approved tools, protecting sensitive information, checking outputs, and escalating concerns.
What This Helps With
- Understanding Sixth City AI’s responsible-use principles
- Clarifying what “safe AI use” means on this website
- Connecting trust principles to governance resources and services
- Preparing for a governed pilot or readiness conversation
What to Expect
- Start with practical definitions of safe and responsible AI use.
- Identify the guardrails teams need for everyday work.
- Use training, advisory, or Adoption Tools to reinforce those guardrails.
- Review and update expectations as tools and workflows change.