Description: Technical accountability in the context of artificial intelligence (AI) refers to the obligation of developers and organizations to ensure that AI systems are designed and operated responsibly. This involves not only creating efficient and functional algorithms but also considering the ethical and social implications of their use. Technical accountability encompasses aspects such as transparency in decision-making processes, fairness in data treatment, and minimizing biases that may affect vulnerable groups. Furthermore, it entails the need to establish accountability mechanisms, where developers and organizations are responsible for the consequences of their systems. In a world where AI is increasingly integrated into daily life, technical accountability becomes a fundamental pillar to ensure that technology benefits society as a whole, avoiding harm and promoting well-being. The lack of technical accountability can lead to harmful outcomes, such as perpetuating inequalities or violating human rights, highlighting the importance of adopting an ethical approach in the development and implementation of AI.
