Artificial Intelligence (AI) and Machine Learning (ML) Acquisition and Policy Implications
February 2021 • White Paper
This paper reports on a high-level survey of a set of both actual and potential acquisition and policy implications of the use of Artificial Intelligence (AI) and Machine Learning (ML) technologies.
Software Engineering Institute
In attempting to characterize the acquisition and policy implications of the application of AI & ML to a government context, instances of both actual and potential issues and consequences arising from such applications were researched and identified. In this context, implications are known current effects, as well as possible future effects of the use of these technologies across a number of different identified domains where those effects become manifest. Some of these implications are primary effects that occur as a direct result of the application of the technology (e.g., the need to review the ethics used in autonomous decision-making by AI & ML), while others are secondary effects that occur as a result of a primary effect (e.g., the need to access data that will then be used to train supervised ML).