At this point, the human role is central and non-delegable to ensure the ethical use of AI. People are the ones who define risk criteria, tolerance thresholds, business rules, and the boundaries within which technology can operate. Professional judgment, sector-specific experience, and an understanding of the regulatory and reputational context remain irreplaceable. AI can recommend, prioritize, or alert, but the ultimate responsibility for decisions and their impacts remains with the management and control teams.
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Additionally, ethics in the use of AI is guaranteed through active and permanent human oversight. This involves validating the quality and origin of data, identifying and correcting biases, demanding explainable models, and establishing periodic audits of their performance. Human intervention allows for questioning results, suspending models when they generate unintended effects, and adjusting their operation in response to changes in the environment, preventing automation from becoming an additional source of risk.
This approach requires robust governance and a conscious organizational culture, where AI is understood as a support tool rather than a mechanism for transferring responsibilities. Ethics are not embedded by default in algorithms; they are built through clear policies, multidisciplinary committees, visible leadership, and continuous training. When an organization reinforces these practices, AI is transformed into an ally to strengthen transparency, accountability, and the sustainability of decisions.
Complementarily, specialized virtual training from Sofactia empowers teams to understand, govern, and challenge the use of AI from a technical, ethical, and strategic perspective. In this way, technology and talent are enhanced: Amatia enables more informed and responsible decisions, while Sofactia’s training ensures that the human factor remains the ultimate guarantor of ethics in corporate risk management.
