Alignment Values and Objectives.

Creating models that provide information for decision making is a tactic that is gaining popularity to align values.

A group may experience inconvenience or consequences as a result of its actions. For example:

Customers and employees are forced to interact with an artificial intelligence application that evaluates loan applications automatically. A loan application evaluation system determines whether or not someone will be able to obtain a loan.

Our models must be designed with unintended consequences in mind when considering how to build responsible AI.

Statistical representations of observable characteristics are models, and GDP is one of them, since it statistically presents us with a result that will hypothetically occur if a situation of equality exists. In reality, there is an asynchrony.

The models do not represent unobservable concepts such as emotions, gender or race.

Machine ethics is concerned with ensuring that the behavior of machines towards human users and perhaps also towards other machines is ethically acceptable.

The intended consequences are represented in the project requirements, in the business objectives, although it is necessary to rethink them in terms of impact, probably as if we were defining a product OKR.

Unintended consequences are those that could occur as a result of actions that were not anticipated; Side effects can be negative and positive.