Sentence examples for make automated decisions from inspiring English sources

We also make automated decisions about you based on your personal information to deliver personalized offers, discounts or recommendations.

The agent also represents the citizens' preferences of data sharing and can make automated decisions on behalf of the citizen based on these preferences.

Rules were fairly easy to write and were developed by domain experts and consultants who translated their experience and coded best practices to make automated decisions.

CloudWatch allows a system-wide visibility of resource utilization, application performance and operational health which enables users to spot trends and make automated decisions based on the user's cloud environment.

But AI that is used to make automated decisions that significantly impact on people's lives must be transparent whether or not it acts as a 'deterrent' or is prohibitively difficult.

However, before long, the machine learning and AI that powers Alexa's responses to her human owner will be sophisticated enough to learn that individual's preferences, and will make data-informed recommendations and (potentially) predictive suggestions, perhaps she will even make automated decisions (with permission).

A transactive node is a node equipped with an agent that communicates with other agents and makes automated decisions.

Finally, unlicensed use of metformin in patients with mild renal impairment is currently subject to debate [ 51] making automated decision support difficult without considering the particularities of the individual case.

AI programs diagnose heart disease, fly and land airplanes, guide autonomous weapons, make automated investment decisions for a trillion dollars' worth of funds and guide industrial processes.

In biometrics, a common approach to make automated verification decisions (that is, reject or accept the claim that a person has a certain identity based on a comparison of some measured characteristics with a template) is to model both the variations between samples coming from different persons and the variations between samples coming from the same person with normal distributions.

When this data is assembled into profiles, matched with other info and used to make (automated) judgments about (and decisions affecting) individuals, such as whether to hire them, or whether to admit entry, or to calculate benefits or terms of an offer, or to corroborate a claim, then the effects of privacy loss include discrimination, especially if the data is inaccurate.