Description: The ‘Quasi-Objective Standards’ refer to evaluation criteria that, while not completely objective, seek to achieve a level of impartiality in ethical decision-making, especially in the context of technology development, including artificial intelligence (AI). These standards recognize that absolute objectivity is difficult to achieve due to the complexity of human values and contextual circumstances. Instead of relying solely on quantitative metrics, quasi-objective standards incorporate qualitative elements that allow for a more nuanced and fair assessment. This involves considering factors such as social impact, diversity of perspectives, and the ethical implications of automated decisions. The relevance of these standards lies in their ability to guide the development and implementation of technological systems in a way that minimizes biases and promotes fairness. By integrating both objective data and subjective judgments, the aim is to create a framework that is not only technical but also ethically responsible, thereby fostering trust in emerging technologies and their acceptance in society.
