Hello, I’m Mana.
Today, I’d like to talk about something very important when using generative AI: its risks and ethical considerations.
Tools like ChatGPT are incredibly helpful for writing, translating, learning, and much more.
But at the same time, we need to be aware of the hidden risks and use them with care and responsibility.
⚠️ What are the key risks of generative AI?
1. Hallucination (false information)
Generative AI can sometimes provide confident but incorrect information. This is known as “hallucination.”
Examples include:
- Citing fake laws or statistics
- Referring to people or events that don’t exist
Always double-check important content, especially in education, business, or any situation where accuracy matters.
2. Built-in bias
AI systems learn from existing data. If that data includes biases (based on gender, race, age, etc.), the outputs may also reflect those biases.
Common issues include:
- Reinforcing gender stereotypes in job roles
- Producing discriminatory or biased expressions
Since AI outputs can unintentionally cause harm, it’s important to review and filter them before sharing or using publicly.
3. Privacy and personal data risks
If users enter sensitive personal or confidential information into an AI tool, there’s a chance that data could be stored or reused.
Always follow clear guidelines about what information is safe to enter, especially in professional settings.
4. Copyright and content originality
Some AI outputs may be based on existing copyrighted content, even if the source isn’t visible. For commercial use or public sharing, be cautious with content that lacks clear attribution.
🧭 Ethical use: AI is powerful, but not perfect
To use AI safely and responsibly, we need to ask not only “what can it do?” but also “how should we use it?”
1. Use AI with human responsibility
AI is a support tool, not a decision-maker. If something generated by AI is wrong or misleading, the responsibility still lies with us as users.
2. Ensure transparency and reliability
Since we often can’t see how the AI created its output, it’s helpful to label content as AI-generated when appropriate to maintain trust and transparency.
3. Create clear usage rules within organizations
Schools, companies, and public institutions are encouraged to develop guidelines for AI usage, such as:
- “AI-generated reports are not allowed for academic submissions”
- “Never enter personal or confidential data into AI tools”
📝 Final Thoughts
Generative AI is an exciting and useful technology—but using it safely and ethically is just as important as learning how it works.
I hope this article helps you better understand the risks and responsibilities that come with using AI tools, and encourages you to use them wisely.
See you in the next post! 📘
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