AI in everyday life: opportunities, risks and practical tips

17 April 2026

5 min

A robotic hand touches the keys on a laptop.

Artificial intelligence is a more common part of our lives today than many realise. Whether we’re browsing an online shop, scrolling through social media or navigating with our smartphones – AI is often working in the background and shapes our everyday lives with. At the same time Technology is advancing at a rapid pace and is constantly finding new areas of application, ranging from text-assistance systems to support with medical diagnoses.

In this blog post you’ll get a Overview about, how AI works, where you might come across us, as you Use sensibly and safely can and which The applicable legal framework applies, such as those arising from the GDPR or the EU AI Act. You’ll also find Practical tips for everyday life, which help you get the most out of modern AI whilst retaining control.

The history of this technology dates back to the 1950s, when the first systems were developed that could analyse data, recognise patterns and make predictions based on them. Today’s versions are also based on a combination of specific algorithms, extensive data sets and a targeted learning process.

Before modern AI can be deployed, it is trained using examples from various media and sources. During this learning phase, the system recognises structures and correlations within the data and adjusts its internal settings to better capture these patterns. With a comprehensive, high-quality database and ongoing feedback in the event of incorrect results, the AI’s accuracy and performance improve.

One particular form of this is generative AI, as used in OpenAI’s ‘ChatGPT’. Such models generate new content based on and resembling the data they have been trained on. ChatGPT was trained using a wide range of language and text material from social media, literature, online forums and news, as well as other sources. In addition, users have the option to submit their own content, which is then processed by the AI. Depending on the input provided (‘prompt’), the system can answer questions, compose texts, produce translations, summarise audiovisual content and much more. The clearer and more precise the instruction, the more appropriate the result.

A comparison of terminology

AI vs. KI	AI = Artificial Intelligence (English term) AI = Artificial Intelligence Do both describe the same thing?
AI vs. LLM	AI is the umbrella term for all intelligent systems. An LLM (Large Language Model) is a specific type of AI model that has been trained to process text.
Machine Learning vs. Deep Learning	Machine learning enables computers to learn from data patterns. Deep learning uses artificial neural networks to solve particularly complex problems.
Traditional AI vs. Generative AI	Traditional AI analyses data or recognises patterns. Generative AI uses existing information to create new content.

Data protection plays a crucial role in the use of AI. The General Data Protection Regulation (GDPR) sets out precisely how personal data must be handled. Such data may only be processed if there is a clear legal basis or if the data subject has given their explicit consent. Providers are obliged to clearly communicate the purpose for which the data is used and how long it will be stored.

Appropriate technical and organisational safeguards must be in place to protect privacy, both when training an AI and when processing user input. Anyone who uses AI has the right to be informed about which personal data has been processed and may request its deletion. Responsible organisations must ensure that sensitive details do not remain unprotected within the system.

The EU AI Act supplements these existing requirements and introduces additional transparency and risk obligations. It ensures that the use of AI remains identifiable at all times and that decisions made by a system are traceable.

AI can make our everyday lives noticeably easier. It takes on time-consuming tasks, supports research with complex analyses and helps companies develop tailor-made offers or bring new products to market.

At the same time, there are risks that should be kept in mind. AI works with probabilities and has no real understanding of content. This can lead to inaccurate or fabricated information that appears plausible at first glance. Anyone using AI should therefore always scrutinise its results critically and not accept them at face value.

Data protection and potential biases in the data used are also relevant issues. In machine learning, such biases can influence the results. Safe use therefore requires not only technical and organisational safeguards, but also human oversight. In this way, the opportunities offered by this technology can be harnessed without overlooking the risks.

AI can simplify many tasks and save you time. By following a few simple rules, you can use it safely and effectively.

1. Do not disclose any personal details

Think of an AI’s input field as a public space where others could theoretically read what you’re typing. Passwords, confidential company data or private documents should not be entered there. In some applications, content may be used to improve the systems, so it is better to enter only non-sensitive information.

2. Trust is good, but verification is better

Check every AI-generated response before using it. As these systems operate on the basis of probabilities, they may produce incorrect or fabricated content, even if it appears convincing. For important topics, it is worth consulting an additional independent source to verify the information.

3. Formulate your enquiries precisely

The more precisely you describe what a system is supposed to do, the more appropriate the result will be. For example, you can specify the target audience a text is intended for or the tone it should have. Formulate your ‘prompt’ in detail and structure it in a logical sequence.

4. Stay in control

AI is well suited to providing inspiration or assistance when creating designs. However, the decision regarding quality and accuracy remains yours. This ensures that the results meet your standards.

If you follow these simple rules, you can harness the full potential of AI whilst ensuring the quality of your results. Use the technology as a creative aid to develop new ideas, create content more quickly and tackle everyday tasks more easily. The more consciously you use AI, the greater the benefit it will bring you, whilst you remain in control at all times.