𝗛𝗼𝘄 𝗜 𝗕𝘂𝗶𝗹𝗱 𝗔𝗜 𝗨𝘀𝗮𝗴𝗲 𝗣𝗼𝗹𝗶𝗰𝗶𝗲𝘀 𝗣𝗲𝗼𝗽𝗹𝗲 𝗔𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗙𝗼𝗹𝗹𝗼𝘄

𝗛𝗼𝘄 𝗜 𝗕𝘂𝗶𝗹𝗱 𝗔𝗜 𝗨𝘀𝗮𝗴𝗲 𝗣𝗼𝗹𝗶𝗰𝗶𝗲𝘀 𝗣𝗲𝗼𝗽𝗹𝗲 𝗔𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗙𝗼𝗹𝗹𝗼𝘄

Most AI policies fail because legal teams write them.

Employees receive them, forget them, and then ignore them. A month later, no one knows where the document lives. Three months later, people do whatever they want.

The problem is not that people hate rules. The problem is that most policies are impossible to use during real work.

A policy only works if an employee can apply it at 4:30 PM on a Friday.

Stop writing compliance documents. Stop using pages of legal definitions. Employees do not need 20 pages to decide if they can paste text into an AI tool. They need a simple yes or no.

The more effort it takes to find an answer, the less people follow the rule.

I focus on information, not tools. Tools change. Data stays the same.

I group information into three buckets:

• Public information: Marketing content, public docs, and website content.
• Internal information: Project plans, meeting notes, and processes.
• Sensitive information: Customer records, financial data, and contracts.

When employees know these categories, decisions become easy. They stop asking which product to use. They start asking what information they are sharing.

People choose the fastest option. Good policies accept this. Bad policies fight it. If your approved tools are hard to use, people will find shortcuts. That is how shadow AI starts.

Make your approved tools more convenient than unapproved ones. Convenience is a governance tool.

Do not try to regulate everything. Focus on behaviors that create real risk:

• Uploading customer data
• Uploading contracts
• Sharing credentials
• Exposing financial or security info

Use examples instead of abstract rules.

Do not say: "Do not upload confidential information." Do say: "Do not upload customer contracts, financial statements, or employee records."

People remember examples. They forget policy language.

Remember that a document alone does not protect a company. Policies reduce risk, but systems enforce it. You need logging, monitoring, and audit capabilities.

AI changes fast. Review your policy every quarter to keep it aligned with reality.

Good governance should feel clear, not restrictive. Employees should know exactly what they can do and who to ask when they are unsure.

Jika polisi anda terlalu rumit, tiada sesiapa akan membacanya. Jika tiada sesiapa membacanya, ia tidak mempunyai nilai.

Polisi yang terbaik adalah yang paling mudah diingati.

Sumber: https://dev.to/sumaskeller/how-i-build-ai-usage-policies-people-actually-follow-39pc

Komuniti pembelajaran pilihan: https://t.me/GyaanSetuAi