Solely automated decision-making is the ability to make decisions by technological means without human involvement. We use automated decision-making, for example, because of it:
- it allows for greater consistency or fairness in the decision-making process (e.g. it helps reduce the potential for human error or discrimination).
- reduces the risk of customers failing to meet loan repayments.
- enables delivery of decisions within a shorter time frame than a human-based process and improves the efficiency of the process.
Automated decisions can be based on any type of data, for example:
- data provided directly by the individuals concerned (such as responses to a questionnaire).
- data observed about the individuals (such as location data collected via an application).
- derived or inferred data such as a profile of the individual that has already been created (e.g. a credit score).
Decisions that are not wholly automated might also include human intervention. For example, before granting a loan, we will consider the credit score of the borrower, possibly with additional meaningful intervention carried out by our staff before any decision is applied to an individual.
We perform automated decision making in order to perform a contract based on the individual’s request that we do so.