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8 分の読書Find and Read Your Employer's AI Policy Before You Use AI at Work
Most people never actually locate their employer's AI use policy — they guess. A short guide to finding the real document (or confirming there isn't one), reading it for the parts that matter, and knowing who to ask when it is silent.
AI初心者
7 分の読書Do Not Paste Work Secrets Into a Consumer AI Account
Pasting unreleased code, financials, or product plans into a personal ChatGPT account is not just against most IT policies — trade secret protection depends on the owner keeping the information controlled, and an uncontrolled disclosure works against that. What counts as a work secret, why the exposure does not need to go public to matter, and the stop-and-check habit that prevents it.
AI初心者このトピックの他の記事
7 分の読書Writing Async Status Updates With AI, Without the Spin
Ask AI to draft a status update and it will often reach for confident, upbeat language by default — 'great progress,' 'nearly there' — even when the honest status is blocked or behind. A workflow that states the real status first, in plain words, and keeps AI confined to formatting rather than tone inflation.
初心者
7 分の読書Document a Workplace Issue's Facts With AI - Never Ask It for Legal Advice
When something goes wrong at work - a conflict, a possible policy violation, conduct that concerns you - a clean, dated, factual record matters more than most people realize. AI can help you organize that record. It cannot tell you whether something is legally harassment, what you are entitled to, or what to do next. Those questions go to HR, your union, or licensed counsel.
初心者
6 分の読書Prepping Your Own Performance Review With AI, Without Inventing Evidence
AI is genuinely useful for organizing a year of scattered accomplishments into a coherent self-assessment. It is useless, or worse, for supplying the accomplishments themselves. A four-step workflow that keeps the evidence yours and the AI confined to structure and language.
初心者
7 分の読書Meeting Notes That Stay Accurate After AI Drafts Them
An AI notetaker will hand you a clean-looking summary with action items and owners in minutes. It will also, quietly and confidently, misattribute a comment, invent a decision that was actually still open, or assign an action item to the wrong person. A verification workflow that catches this before the notes go out.
初心者
7 分の読書Prep Your 1:1 Agenda With AI — Do Not Let It Script the Conversation
AI is a good tool for turning a scattered week into a clear list of updates, blockers, and questions before your next 1:1. It is a bad tool for generating the actual sentences you say when you sit down — not because you will be caught, but because a script makes you a worse listener and can quietly misrepresent your own judgment.
初心者
7 分の読書Before You Act on an AI Answer About HR Policy, Verify It
Ask a chat tool what your company's parental leave or expense policy allows and it answers fluently and specifically — often from generic patterns about 'typical' companies, sometimes from a retrieved document belonging to someone else entirely. Treat any AI answer about your employer's rules as a starting point to verify, never as the answer itself.
初心者
7 分の読書Workplace AI Disclosure: When You Actually Have to Say So
Beyond the general norm of disclosing appreciable AI use, four specific workplace triggers turn disclosure from good practice into an actual requirement: an explicit company policy clause, a client contract term, a regulatory transparency rule for systems that interact directly with people, and a formal evaluation process that asks directly. A decision framework for telling the two apart.
中級者
6 分の読書Draft Workplace Feedback With AI, Stay Accountable for the Content
AI can turn a rough sense of 'this went well, this didn't' into structured, specific feedback language. It should never supply the examples themselves, and it should never round your intended tone up into harsher criticism or down into vague praise. A workflow for drafting peer or direct-report feedback that stays yours.
初心者
11 分What is Shadow AI? The Dark Horse of Cybersecurity Threats
IBM Technology. IBM Technology explains 'shadow AI' - employees pasting sensitive data into consumer AI tools - the same risk class this article warns against.
AI初心者