Description: Triage in AI ethics refers to the process of prioritizing ethical issues in the development and implementation of artificial intelligence based on their potential impact. This approach is crucial in a context where automated decisions can have significant consequences on people’s lives. Similar to medical triage, where patients are classified according to the severity of their conditions, in AI ethics, ethical dilemmas are evaluated based on their urgency and repercussions. This process allows developers, researchers, and policymakers to identify and address the most critical issues first, ensuring that risks are minimized and benefits of technology are maximized. The main characteristics of triage in AI ethics include identifying biases, assessing algorithm transparency, and considering social justice. The relevance of this approach lies in the increasing integration of AI across various fields, from healthcare to criminal justice, where algorithmic decisions can perpetuate inequalities or cause harm. Therefore, triage becomes an essential tool for guiding the responsible and ethical development of artificial intelligence, promoting a future where technology serves everyone equitably and justly.
