Using artificial intelligence responsibly

What to look out for when using it yourself

• Copyright: Ensure that the use of AI-generated content does not violate existing copyrights and do not share protected content.
• Data protection: Careful handling of personal data.

Intentional misuse by third parties

• Misuse for manipulating opinions: Targeted influencing of opinions and dissemination of propaganda or fake news.
• Security risks: Misuse for criminal or malicious purposes, such as targeted phishing attacks or manipulation.

Problems caused by the way AI works

• Bias and discrimination: Risk of reinforcing existing prejudices if these are included in the training data.
• Misinformation: Generation and dissemination of false information (hallucinations).
• Sustainability: High energy and resource requirements for training and operating AI models.

Lack of legal certainty

• Accountability: Difficulty in assigning responsibility for decisions to the AI, especially in the case of wrong decisions.
• Verification: How must the use of AI be labelled?
• Rights of use/copyright: How can AI content be reused, who may have a copyright here?

Awareness of ethical issues and risks

• Good scientific practice: Compliance with scientific ethical standards.
• Changes in the labour market: Displacement of jobs through automation.
• Exploitation of people: Using low-wage workers to train AI systems.
• Social justice: Lack of accessibility of AI technologies for people with lower incomes.
• Dependency: Risk of excessive dependency on AI systems.

Updated: September 2026