Do you need help & advice with AI & Automation or Cybersecurity?
AI is here, and it’s not going anywhere. To stay competitive, it’s important to get to grips with it. But there are risks, especially around data. We need to make sure our teams understand what they can and can’t share with AI tools. Giving away confidential information or trade secrets could be a big problem.
Key Takeaways
- Understand the risks of using AI.
- Know what data should not be shared with AI.
- Experiment with AI tools to learn how they work.
The Importance of Data Governance
Data governance is a big deal when it comes to AI. You don’t want your staff feeding sensitive company information into these tools. Think about your secret recipes or confidential client data – that’s not for AI to know. The systems aren’t perfect yet, and there are real risks of data leaks.
Understanding AI Limitations
Right now, many AI tools work in a pretty structured way. It’s a bit like a "choose your own adventure" book. You can go down path A, B, C, or D, but if you try to go off-script, the whole thing can fall apart. This means the controls aren’t fully developed, and unexpected things can happen.
Experimenting Safely
Even with the limitations, it’s a good idea to start experimenting with AI. Spend a few minutes each day getting familiar with how these tools operate. It’s worth the effort. By understanding how AI works now, you’ll be better prepared for what’s coming and can keep your business ahead of the curve.
Frequently Asked Questions
How can AI tools leak our company data?
AI tools can leak data if staff paste in sensitive information such as quotes, drawings, contracts, site details or client records. Some tools may store prompts, use them to improve their service, or share them across accounts if settings are not controlled properly.
What should a construction MD do before allowing staff to use AI?
Set clear rules on what can and cannot be entered into AI tools, approve only business-safe platforms, and make sure staff understand the risks. It is also wise to check your data protection policies and ask your IT provider to review the settings and access controls.
How do we reduce the risk of AI exposing sensitive project information?
Use approved AI tools only, turn off features that store or train on your data where possible, and limit who can use them. Regular staff training, strong passwords, and proper access controls will also help protect project information and client data.
