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Automated decision-making involves using data as input to be analyzed within a process, model, or algorithm or for learning and generating new models. [7] ADM systems may use and connect a wide range of data types and sources depending on the goals and contexts of the system, for example, sensor data for self-driving cars and robotics, identity data for security systems, demographic and ...
Automated Decision Support, or ADS, systems are rule-based systems that are able to automatically provide solutions to repetitive management problems. [1] ADSs are very closely related to business informatics and business analytics. Automated decision support systems are based on business rules. These business rules can be created or operated ...
Decision engineering uses a visual map of the decision-making process based on system dynamics and can be automated through a decision modeling tool, integrating big data, machine learning, and expert knowledge as appropriate.
Decision management was described in 2005 as an "emerging important discipline, due to an increasing need to automate high-volume decisions across the enterprise and to impart precision, consistency, and agility in the decision-making process". [1] Decision management is implemented "via the use of rule-based systems and analytic models for ...
Automated planning and scheduling, sometimes denoted as simply AI planning, [1] is a branch of artificial intelligence that concerns the realization of strategies or action sequences, typically for execution by intelligent agents, autonomous robots and unmanned vehicles.
Automation bias is the propensity for humans to favor suggestions from automated decision-making systems and to ignore contradictory information made without automation, even if it is correct. [1] Automation bias stems from the social psychology literature that found a bias in human-human interaction that showed that people assign more positive ...
Automated decision-making (ADM) and related systems are now widely implemented in global newsrooms. These systems have substantial impacts on the nature and quality of journalistic output, on the shape of the newsroom workforce, and on audiences’ engagement with news content.
ADM+S Wiki Wednesday Drop-in sessions 2022: A chance for ADM+S researchers to learn more about how to work with Wikipedia, Wikidata and other Wikimedia platforms.. ADM+S Editathon October 2021 10.00 am - 1.00 pm (AEST) Wednesday 27 October 2021 En edit-a-thon to bring together ADMS members and other interested people to work on Wikipedia (and Wikidata) content related to automated decision ...