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What is AI Deployment

Handbook of Research on Artificial Intelligence in Government Practices and Processes
Deployment is the method by which you integrate a machine learning model into an existing production environment to make practical business decisions based on data. It is one of the last stages in the machine learning life cycle and can be one of the most cumbersome.
Published in Chapter:
A Policy Framework Towards the Use of Artificial Intelligence by Public Institutions: Reference to FATE Analysis
Priyadarsini Patnaik (Birla Global University, India)
DOI: 10.4018/978-1-7998-9609-8.ch002
Abstract
The greatest revolution in technology to date is artificial intelligence (AI). With rapid technological advances, government agencies, business, and academia are looking for guidance and standards around artificial intelligence. Several of the AI applications can be viewed as algorithms that make decisions, raising the question of when society will attempt to delegate decision making processes to computers. A crucial practical application should be in mind while creating a theoretical taxonomy about decisions and their context, in terms of norms, laws, and policies. Using artificial intelligence (AI), this study proposes a policy framework for the country by analysing FATE (fairness, accountability, transparency, and explainability). This study examines three core areas, namely public policy, artificial intelligence (AI), and decision making. As a means to better understand public policy, a description of how decision-making processes are based on the concept of artificial intelligence is presented.
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