What is Generative AI and how to use it

AI as an empowering Tool

I think we should think of AI as the intellectual equivalent of a backhoe. It will be much better than us at a lot of things.

Geoffrey Hinton, known as “godfather of AI”, awarded the 2024 Nobel Prize in Physics

What Is Generative AI?

Generative AI is a branch of artificial intelligence designed to create new content, rather than just analyze or classify existing information. Unlike traditional software, which follows fixed rules written by programmers, generative AI learns from large amounts of data and uses that knowledge to produce original outputs.

For example, a generative AI system can:

  • Write emails, reports, or marketing texts
  • Generate images or design concepts
  • Create software code
  • Summarize documents or answer questions
  • Help brainstorm ideas or solve problems

Popular tools such as chatbots, image generators, and code assistants are all based on generative AI technologies.

At its core, generative AI works by identifying patterns in data. If it has seen millions of examples of text, it learns how words usually fit together. When you ask it a question, it predicts what a useful and relevant response should look like — based on probability, not human understanding.

How Can Generative AI Be Used?

Generative AI is not limited to tech companies. Today, it is increasingly used by small and medium-sized enterprises (SMEs), universities, researchers, and students.

Typical use cases include:

  • Business productivity: drafting documents, presentations, and emails
  • Customer support: chatbots that answer common questions
  • Education and research: explaining complex topics, summarizing papers, generating learning materials
  • Software development: assisting developers with code suggestions and debugging
  • Creative work: marketing content, visuals, slogans, and campaign ideas

Importantly, generative AI is best seen as a support tool, not a replacement for human expertise. Its value comes from collaboration between people and technology.

Advantages of Generative AI

Generative AI offers several key benefits that make it attractive for both businesses and educational institutions:

  • Speed and efficiency. Tasks that once took hours — writing drafts, analyzing text, or generating ideas — can now be done in minutes.
  • Accessibility of knowledge. AI can explain complex topics in simple language, helping non-experts quickly understand new fields such as AI, IT, or data analysis.
  • Cost reduction. Automating routine tasks can reduce operational costs, which is especially valuable for SMEs with limited resources.
  • Creativity and innovation. AI can propose ideas humans may not immediately think of, supporting brainstorming and innovation processes.
  • Scalability. AI tools can support many users at once, making them useful in education, training, and large organizations.

Limitations and Risks of Generative AI

Despite its potential, generative AI also has important limitations that must be understood:

  • Lack of true understanding. AI does not “think” or “know” in a human sense. It generates responses based on patterns, which means it can sometimes produce incorrect or misleading information.
  • Bias in results. Since AI learns from existing data, it may reflect biases present in that data, leading to unfair or unbalanced outputs.
  • Dependence on data quality. Poor or outdated training data can result in low-quality or inaccurate responses.
  • Ethical and legal concerns. Issues such as data privacy, intellectual property, and responsible use are still being actively discussed and regulated.
  • Need for human oversight. AI outputs should always be reviewed by humans — especially in critical areas like education, research, or decision-making.

Final Thought

Generative AI is a powerful and rapidly evolving technology that can significantly enhance collaboration between universities and SMEs, especially in the fields of AI and IT knowledge exchange. When used thoughtfully and responsibly, it can lower barriers to innovation, learning, and digital transformation — while still keeping humans at the center of decision-making. This page serves as a starting point. As AI continues to develop, understanding both its possibilities and its limits will be key to using it effectively.