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, and handle the first hour when something goes wrong, on Claude or on ChatGPT.team:panaversity
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.team:panaversity
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.team:panaversity
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.team:panaversity
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.team:panaversity
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.team:panaversity
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.team:panaversity
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.team:panaversity
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.team:panaversity
10.9 The same policy on both AI vendorsHow Anthropic's and OpenAI's own pages say you can carry out one AI policy, the three differences that change your setup, and what stays the same on both.team:panaversity
Lab 10: keep the AP Worker running, on terms Dave can defendChapter 10's lab: decide the terms on which Brightline's AP Worker keeps running, from six proposed uses to an interim AI policy for Dave, with the artifact checklist.team:panaversity
Check yourselfRecall and practice for the whole chapter: the flashcards, and a final quiz round from all nine concepts.team:panaversity