Automated Decision-Making

Automated decision-making is a technology-driven process that allows for decisions to be made without direct human input. Leveraging algorithms and machine learning models, this process analyzes data, identifies patterns, and makes determinations or predictions based on the information it processes. The scope of automated decision-making is vast, ranging from simple rules-based applications, like email spam filters, to more complex systems, such as credit scoring or personalized content recommendations. This technology underpins many aspects of digital services, enhancing efficiency and objectivity in decision processes. However, it also raises important considerations regarding transparency, accountability, and fairness, as the criteria and data used to make decisions can inadvertently introduce biases or errors.