A Level Computer Science OCR Test 2025 – 400 Free Practice Questions to Pass the Exam

Automated decision making relies on data that is processed automatically. This approach utilizes algorithms and machine learning models to analyze and interpret large volumes of data without the need for human intervention. By leveraging data, systems can identify patterns and trends, allowing for timely and accurate decisions based on the information at hand.

In this context, the strength of automated decision making lies in its ability to process information quickly and consistently, enabling organizations to respond to situations in real-time and reduce the potential for human error or bias. The reliance on data makes it capable of evolving and improving over time, as the system can learn from new data inputs and adjust its processes accordingly.

The other options do not capture the essence of what automated decision making entails. For instance, while human judgment and experience are valuable in many decision-making contexts, they are not components of an automated process. Similarly, manually programming rules would make the process less automated, as it requires human intervention. Finally, while predetermined user inputs can be a factor in some systems, they do not constitute the core concept of automating decision making, which fundamentally depends on the automatic processing of data rather than fixed inputs.