The phrase "automated decision-making" is correct and usable in written English.
It can be used in contexts discussing processes or systems that make decisions without human intervention, often relying on algorithms or data analysis.
Example: "The company has implemented automated decision-making to streamline its operations and improve efficiency."
Alternatives: "algorithmic decision-making" or "machine-driven decision-making".
The book did not argue against the possibility of artificial intelligence but rather was a passionate criticism of systems that substituted automated decision-making for the human mind.
Recognizing these concerns, this project seeks to enable real-world automated decision-making systems to be accountable for privacy and fairness.
As the politics of austerity expands, automated decision-making systems act as empathy overrides, outsourcing inhuman choices about who survives and thrives, and who doesn't.
Automated decision-making systems have to deal with natural signals that are mostly nonstationary in nature, meaning that their statistics vary over time and frequency.
"The meat of this whole point is the fear that a lot of people have that automated decision-making will be unaccountable," said Andrew Selbst, a civil rights attorney and researcher with the Yale Information Society Project.
Similarly, the designers of an automated decision-making system determine ahead of time how decisions should be made, but they will rarely see how these decisions will impact the individuals they affect.
The Decision Automation Map can be used by managers, investors, regulators, and policy makers to answer questions regarding automated decision making.
We elaborate basics of the SC stability analysis in the flexible supply networks settings taking into account managerial (and not automated) decision making in SC.
In addition, a GIS which enables automated decision making such as resource matching and route finding for resource distribution is presented.
The brains that drive automated decision making are the advanced analytics models that produce propensity scores for each customer or prospect.
