Description: Breach of Trust in the context of artificial intelligence refers to the situation where AI systems fail to meet the expectations and promises set before users. This can manifest in various ways, such as a lack of transparency in algorithms, inability to provide accurate or fair results, or misuse of personal data. Trust is an essential component in the interaction between humans and machines; when this trust is compromised, it can lead to distrust towards technology in general. The main characteristics of trust violation include opacity in decision-making processes, lack of accountability in case of errors, and the perception that AI systems can be manipulated or biased. The relevance of this concept lies in its impact on the adoption of AI technologies, as a trust violation can lead to user resistance, affecting innovation and development in this field. In a world where AI is increasingly integrated into everyday life, ensuring trust is fundamental for its acceptance and long-term success.
