Exploring the Challenges and Potential of Generative AI: Insights from an Empirical Study

The scientific paper entitled “Exploring the Challenges and Potential of Generative AI: Insights from an Empirical Study” has been published in open access. Carried out within the OpenFact project, the research highlights both the capabilities and the practical challenges posed by these advanced AI tools. The experiment results revealed frequent occurrences of AI “hallucinations”, instances ...

KES 2024: GenAI and Fact Checking

During the 28th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2024), two papers were presented: “Exploring the Challenges and Potential of Generative AI: Insights from an Empirical Study” and “Supporting fact-checking process with IT tools”. The conference was held on September 11-13, 2024 in hybrid mode.

ChatGPT and fake news

The scientific work of members of our Department was published in the Economics and Business Review journal. The article “Artificial intelligence – friend or foe in fake news campaigns” focuses on analyzing the impact of large language models (LLM) on the phenomenon of fake news. On the one hand decent text‐generation capabilities can be misused ...
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