Chapter 10. Governance and Responsible Use
In this section
- Chapter 10. Governance and Responsible UseHow to decide whether a use of an AI Worker is appropriate, what data may go in and by which route, follow or propose an AI policy, check who an output affects, give knowledge an owner and take it down, name the outputs a person must sign, handle the first hour when something goes wrong, and decide who can open what the worker made, on Claude or on ChatGPT.
- 10.1 Appropriate, appropriate with review, or inappropriateHow to decide whether a proposed use of an AI Worker is appropriate, appropriate with review or inappropriate, with four tests and the one factor that decides.
- 10.2 Can this data go in?How to decide what data a task needs before it goes to an AI tool: classify it, keep only the identifiers the task needs, and test the file you made.
- 10.3 The route matters as much as the productWhy the way data reaches an AI system matters as much as the product, and what each AI vendor's privacy controls do and do not decide, on Claude and on ChatGPT.
- 10.4 Organizational policy, and what to do without oneHow to follow your organization's AI policy, what to propose when there is none, why people go around a slow approved route, and how to keep a Governance Record.
- 10.5 The people: who is affected, and who was left outHow to check who an AI Worker's output affects, including the people a list leaves out, and when to tell people that AI was involved.
- 10.6 Ownership, approval and takedown of knowledgeWhy every piece of knowledge needs an owner, how a takedown differs from deprecation, and how to remove every copy that is served.
- 10.7 When a human must signWhich outputs a person must sign, how to name who checks what and when, and how to stop a worker from sending what only a person may release, on Claude and on ChatGPT.
- 10.8 When something goes wrongThe five steps for the first hour after data goes where it should not, and why near misses and honest reports matter.
- 10.9 The same policy on today's toolsHow Anthropic's and OpenAI's own pages, and open-source tools, let you carry out one AI policy, the differences that change your setup, and what stays the same.
- 10.10 Who can open the result?Why a result the worker made can go out without anyone sending it, and how to decide who may open it, check who can, keep an approved result from changing, and take the access back.
- Lab 10: yes, on these termsChapter 10's lab: decide the terms on which Brightline's AP Worker runs again, from six proposed uses to an interim AI policy for Dave, check each task against its own key, and prove the terms on Monday's cases in a fresh chat.
- Check yourselfRecall and practice for the whole chapter: the flashcards, and a final quiz round from all ten concepts.