Artificial intelligence: benefits, risks and responsible use

Originally published in Romanian in 2024. Revised on 26 September 2026 and translated into English on 27 September 2026.

Artificial intelligence (AI) covers systems that perform tasks such as classification, pattern recognition, prediction or content generation. These capabilities do not mean that a system understands a situation the way a person does, or that its answers are correct.

Where it can help

AI can support document triage, drafting working versions, searching through information or spotting anomalies. The benefit depends on the task, on the quality of the data and on how you measure the result. A convincing demo is no substitute for testing under real conditions.

Risks you should not ignore

• Plausible errors. A model can produce false information or non-existent sources, even when the answer sounds confident.
• Confidentiality. Data entered into a service is processed according to that service's architecture and terms. Do not assume the information stays private or is not retained.
• Discrimination and unequal outcomes. The data and the design of a system can produce unjustified differences between people or situations.
• Security. External content can try to steer an assistant. A system with access to tools can cause real effects if its permissions are too broad.
• Dependence and impact on work. Automation can change roles and responsibilities. These effects need to be assessed, not dismissed as mere fear of the unknown.

How to start responsibly

1. Pick a task with a verifiable result and set the acceptance criteria.
2. Test with synthetic or approved data. Check where the data is processed, how long it is retained and who can access it.
3. Compare the results with known examples, including hard cases and failures.
4. Keep human review for decisions with impact and limit access and execution permissions.
5. Define who is accountable for the result, how an error is reported and how you stop the system.

Education and experimentation help, but they do not remove the risks. The useful question is not whether we should fear AI, but where it adds value and which controls its use requires.