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The hidden side of AI productivity
Artificial intelligence is a powerful tool for productivity, but its use by employees carries significant risks. These are not only related to company policies, but also affect career, personal development, and security of each individual.
For L&D and HR teams, it is critically important to understand these risks so they can train employees to use AI responsibly and safely.
Learn how to use AI safely and effectively with the training "AI Artificial Intelligence in Action".
Risk to data security and privacy
This is the biggest and most common operational risk. When employees use public generative AI tools (such as free versions of ChatGPT, Claude, or Gemini) for work tasks, they may unknowingly expose sensitive company information.
Data leakage
Most public AI models collect the data entered into them in order to "train." If an employee enters codes, financial reports, customer personal data (GDPR) or trade secrets into a public chatbot, this information may:
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Become part of the AI model's database.
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Be seen by the model's developers.
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Be extracted by other users (although rare, the risk exists).
Legal and reputational damage
Data leakage, even if unintentional, can lead to serious fines for the company (especially for GDPR violations) and undermine the trust of customers and partners.
Risks to career development and skills
The overreliance effect
When AI automates tasks such as writing emails, data analysis, or making basic decisions, employees risk losing their core critical and analytical skills.
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Reduced critical thinking: The employee may accept the AI's answer without checking (hallucinations in AI are a real problem), leading to mistakes at work.
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Skill atrophy: If someone stops writing or analyzing independently, these skills atrophy, making them less valuable if they have to work without AI.
"AI Divide" (the divide in access to AI)
This risk is not related to the lack of tools, but to the lack of skills to use these tools effectively.
Employees who master the so-called prompt engineering (the skill of asking AI precise questions) will work faster and better. Those who struggle will fall behind, creating internal inequality that directly affects performance evaluations and promotions.
Ethical and personal risks
Reproducing bias
AI may inadvertently carry social biases into the workflow. For example, if an employee uses AI to write job postings and the model has been trained primarily on data related to men in technical roles, it may generate language that unintentionally discriminates against women or other groups.
Copyright infringement
When an employee uses AI-generated text or images, they may infringe copyright if the AI model was trained on improperly used data. Although companies usually take responsibility for their licensed AI tools, employees should remain vigilant about the sources they use.
How L&D and HR can minimize the risks
L&D teams must take a leading role in managing these risks by turning the use of AI into a core skill for work.
| Step | Action | Why is it important for employees? |
| 1. Security training | Mandatory courses on what data should never be entered into public AI tools. | Protects employees from personal and professional liability in the event of data leakage. |
| 2. Introducing AI policies | Clear rules on which corporate AI tools are approved for use and which external ones are prohibited. | Prevents the risk of using shadow AI tools. |
| 3. Prompt engineering training | Focus on how to ask AI precise questions and how to verify results (fact-checking). | Develops skills that prevent overreliance and maintain critical thinking. |
| 4. Culture of transparency | Encouraging employees to report potential bias or errors generated by AI. | Helps quickly correct issues and maintain fairness in processes. |
From user to partner - how to use AI without risk
AI is here to stay. The risk does not come from the technology itself, but from its uninformed use. L&D specialists have the task of turning employees from passive AI users into competent, ethical partners of the technology. Only then can we fully use the potential of artificial intelligence while protecting people and business.
Learn how to use AI safely and effectively with the training "AI Artificial Intelligence in Action".
Sources and recommended reading
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“The Ethical Implications of Artificial Intelligence (AI) For Meaningful Work”, SpringerLink, 2023
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“Ethical Challenges and Solutions of Generative AI”, MDPI paper, 2024
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“The Ethical Use of Generative AI in Talent Development”, LinkedIn, 2024
