Description: Algorithm transparency refers to the practice of making algorithmic processes understandable and accessible to users and stakeholders. This concept is fundamental in the field of artificial intelligence (AI) ethics, as it promotes accountability and trust in automated systems that influence critical decisions in people’s lives. Transparency implies that algorithms are not only accessible in terms of their functioning but also explained in a clear and simple manner, allowing users to understand how decisions are made and what data is used. This is especially relevant in contexts where algorithms may perpetuate biases or discriminate against certain groups, as greater clarity can help identify and mitigate these issues. Furthermore, transparency fosters an open dialogue between developers, users, and regulators, which can lead to better regulation and the creation of ethical standards in the development of AI-based technologies. In summary, algorithm transparency is an essential pillar to ensure that AI is used fairly and responsibly, promoting equity and trust in emerging technologies.
