Golden Rules When Using AI

Applying AI effectively requires strategy and caution. These 10 golden rules will help you maximize productivity, avoid common pitfalls, and use AI safely in daily tasks.

Artificial intelligence (AI) offers powerful tools to boost creativity, productivity, and problem-solving, but we must use it wisely. Experts emphasize that AI should respect core human values like human rights, dignity, transparency and fairness.

To get the most out of AI and avoid pitfalls, follow these ten golden rules when using AI.

Expert recommendation: Research shows AI search tools are wrong about 60% of the time on average. Always treat AI outputs as drafts, not final answers.

1. Understand AI's Strengths and Limits

AI is a smart assistant, not an all-knowing oracle. It can generate ideas and save time, but it can also make mistakes or "hallucinate" information.

AI Strengths

What AI Does Well

  • Generate creative ideas quickly
  • Process large amounts of data
  • Automate repetitive tasks
  • Provide 24/7 availability
AI Limitations

What AI Struggles With

  • Making critical decisions independently
  • Understanding context like humans
  • Providing 100% accurate information
  • Replacing human judgment

For important decisions (like health or finance), involve real experts – AI can help with research but shouldn't replace human judgment. In short, trust but verify: double- and triple-check AI results.

Understand AI's Strengths and Limits
Understanding AI's capabilities and limitations

2. Communicate Clearly with Prompts

Think of your AI model like a very smart colleague. Give it clear, detailed instructions and examples. OpenAI's guidelines advise: "Be specific, descriptive and as detailed as possible about the desired context, outcome, length, format, style, etc." when you write prompts.

Vague Prompt

Poor Example

"Write about sports"

Too general, lacks context and direction

Clear Prompt

Better Example

"Write a short, friendly blog post about why daily exercise boosts mood, in a conversational tone."

Specific, detailed, with clear expectations

Be Specific

Define exactly what you want

  • Clear objectives
  • Detailed requirements

Set Style

Specify tone and format

  • Conversational tone
  • Professional format

Provide Context

Give background information

  • Target audience
  • Use case scenario

Good prompts (context + specifics) lead to better, more accurate AI responses. This is basically good communication: the more context and guidance you give, the better the AI can help you.

Communicate Clearly with Prompts
Effective prompt communication strategies

3. Protect Privacy and Data Security

Important note: Never share sensitive personal or company data with AI tools unless you are absolutely sure it's safe.

Think twice before typing in addresses, passwords, medical info, or confidential business details: fraudsters and hackers can exploit what you share online.

If you wouldn't post something on social media, don't feed it to an AI chatbot.

— Privacy Security Best Practice

Never Share

  • Personal addresses
  • Passwords or credentials
  • Medical information
  • Financial details
  • Confidential business data

Safe Practices

  • Use trusted platforms only
  • Read privacy policies
  • Turn off training features
  • Use approved company tools
  • Keep personal info out of queries

Many free or unvetted AI apps can misuse your data or even train on it without clear consent. Always use well-known, trusted platforms (or approved company tools) and read their privacy policies.

In many jurisdictions, you have rights over your data: by law, designers should only collect the data strictly necessary and get permission for its use.

Practically, this means turning off training or memory features when possible and keeping personal info out of your queries.

Protect Privacy and Data Security
Privacy and data security protection measures

4. Always Double-Check AI Outputs

AI can invent facts or confidently give wrong answers. Never copy an AI's work as-is. For every important AI-generated piece—facts, summaries, suggestions—cross-check against reliable sources.

1

Compare Sources

Compare the AI's answers to official data or expert sources.

2

Run Quality Checks

Run outputs through plagiarism or grammar checks (AI sometimes mimics text verbatim, causing copyright issues).

3

Apply Human Judgment

Use your own expertise or intuition: if a claim sounds unbelievable, look it up.

AI should not remove the "ultimate human responsibility".

— UNESCO AI Ethics Guide

Remember, you are accountable for what AI does for you. In practice, this means you stay in control: edit, fact-check and refine the AI's work before publishing or acting on it.

Always Double-Check AI Outputs
Verification process for AI-generated content

5. Be Aware of Bias and Fairness

AI models learn from human-created data, so they can inherit social biases. This can affect hiring decisions, loan approvals, or even everyday language use.

Rule: think critically about outputs. If an AI keeps suggesting the same gender or race for a job, or if it stereotypes groups, pause and question it.

AI "should treat all people fairly" and systems should not discriminate and must be used equitably.

— White House AI Bill of Rights & Microsoft AI Principles
1

Diversify Examples

Use diverse examples and perspectives when you use AI

2

Test Scenarios

Test the AI with scenarios involving different demographics

3

Address Issues

If you spot bias, refine your prompt or switch tools

Best practices: Whenever possible, choose AI systems that promote inclusivity and address bias (many now have fairness checklists and bias audits built in).
Be Aware of Bias and Fairness in AI
Recognizing and addressing AI bias and fairness issues

6. Keep a Human in the Loop (Accountability)

AI can automate tasks, but humans must stay in charge. The UNESCO recommendation stresses that AI should never "displace ultimate human responsibility".

In practice, this means designing your workflow so a person reviews or supervises AI results.

Customer Service Example

If you use an AI chatbot for customer service, train staff to monitor those chats and take over if something goes wrong.

Data Analysis Example

If you use AI to flag spam or analyze data, double-check that the filters work correctly and adjust them as needed.

Plan Fail-Safes

Always have a backup plan

  • Human intervention ready
  • Emergency shutdown options

Keep Records

Document AI usage

  • When AI was used
  • How decisions were made

Enable Auditing

Maintain transparency

  • Trace logs of decisions
  • Investigation capabilities

Accountability also means keeping records: note when and how you used AI, so you can explain your actions if needed.

Some organizations even require AI projects to be auditable, with trace logs of decisions. This ensures someone can investigate and correct issues, which aligns with principles of transparency and accountability.

Keep a Human in the Loop (Accountability)
Human oversight and accountability in AI systems

7. Use AI Ethically and Legally

Avoid mistakes: Just because you can ask an AI something doesn't mean you should. Never use AI for prohibited or harmful tasks.

Always follow the law and moral guidelines. Do not use AI for prohibited or harmful tasks (for example, creating malware, plagiarizing copyrighted text, or deceiving others).

Prohibited Uses

  • Creating malware
  • Plagiarizing copyrighted content
  • Deceiving others
  • Generating harmful content

Respect IP Rights

  • Give credit when needed
  • Avoid outright copying
  • Check copyright status
  • Follow fair use guidelines

Respect intellectual property: if AI helps generate an image or article, be careful to give credit when needed and avoid outright copying.

Expert recommendation: Before using AI for sensitive work, check compliance requirements: healthcare and finance often have extra rules (HIPAA, GDPR, etc.).

The U.S. AI Bill of Rights emphasizes data privacy and fairness, but it also implies you must keep AI use within ethical bounds.

Many countries are passing AI laws (like the EU's AI Act prioritizes safety and rights). Stay updated on these so you're not unwittingly breaking new regulations.

In short: do the right thing. If a request seems shady or illegal, it probably is. When in doubt, consult a supervisor or legal advisor.

Use AI Ethically and Legally
Ethical and legal considerations for AI usage

8. Be Transparent About AI Use

Transparency builds trust. If you are using AI to generate content (articles, reports, code, etc.), consider letting your audience or team know. Explain how AI is assisting (e.g. "This summary was drafted by AI, then edited by me").

People should know when AI systems are being used and how they affect decisions.

— White House AI Blueprint "Notice and Explanation" Principle
1

Label Content

Mark AI-generated content clearly

2

Cite Sources

Give credit to original authors when adapting content

3

Share Workflow

Explain which tools and steps you used

For example, if a company uses AI to screen job applicants, candidates should be informed about it.

In practical terms, label AI-generated content, and be clear about data sources. If you adapt someone else's writing with AI, cite the original author. In a work setting, share your AI workflow with colleagues (which AI tools you used and what steps you took).

Best practices: This openness not only meets ethical standards, but it helps others learn and spot any issues early. Remember, accountability means standing by your outputs and giving credit where it's due.
Be Transparent About AI Use
Transparency practices in AI implementation

9. Keep Learning and Stay Informed

AI is evolving fast, so keep your skills and knowledge up to date. Follow reputable news (technology blogs, official AI forums, or international guidelines like UNESCO's recommendations) to learn about new risks and best practices.

Public education and training are key to safe AI use.

— UNESCO AI Recommendation on "AI Literacy"

Here's how to practice continual learning:

Formal Learning

  • Take online courses or webinars on AI safety and ethics
  • Read up on new features of the AI tools you use

Community Learning

  • Share tips and resources with friends or colleagues (e.g. how to write better prompts or spot AI bias)
  • Teach younger users (or kids) that AI can help but should be questioned

By learning together, we build a community that uses AI wisely. After all, all users share responsibility for ensuring AI benefits everyone.

Keep Learning and Stay Informed for AI
Continuous learning and staying informed about AI developments

10. Use Trusted Tools and Follow Guidelines

Finally, stick with reputable AI tools and official guidance. Download AI apps only from official sources (e.g. the legitimate website or app store) to avoid malware or fraud.

In the workplace, use company-approved AI platforms that meet security and privacy standards.

Choose Reputable Vendors

Support ethical AI development

  • Clear data policies
  • Ethical commitments

Use Safety Features

Leverage built-in protections

  • Disable data training
  • Set content filters

Backup Data

Maintain independence

  • Independent backups
  • Avoid vendor lock-in

Support AI vendors that commit to ethical development. For example, prefer tools with clear data policies and ethical commitments (as many big tech companies now publish). Use built-in safety features: some platforms allow disabling data training or setting content filters.

And always back up your own data independently of the AI service, so you're not locked out if something goes wrong.

Use Trusted Tools AI and Follow Guidelines
Selecting trusted AI tools and following best practice guidelines

Key Takeaways

In summary, AI is a powerful partner when used responsibly. By following these ten golden rules – respecting privacy, checking facts, staying ethical and informed, and keeping humans in control – you can harness AI's benefits safely.

Responsible AI Usage 100%

As technology advances, these principles will help ensure AI remains a force for good.

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External References
This article has been compiled with reference to the following external sources:
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Rosie Ha is an author at Inviai, specializing in sharing knowledge and solutions about artificial intelligence. With experience in researching and applying AI across various fields such as business, content creation, and automation, Rosie Ha delivers articles that are clear, practical, and inspiring. Her mission is to help everyone effectively harness AI to boost productivity and expand creative potential.
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