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System Analysis for Responsible Design of Modern AI/ML Systems

The irresponsible use of ML algorithms in practical settings has received a lot of deserved attention in the recent years. We posit that the traditional system analysis perspective is needed when designing and implementing ML algorithms and systems. Such perspective can provide a formal way for evaluating and enabling responsible ML practices. In this paper, we review components of the System Analysis methodology and highlight how they connect and enable responsible practices of ML design.

preprint2022arXivOpen access
Virginia H. GoodwinRajmonda S. Caceres
Software EngineeringMachine Learning
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Open access2 authors2 topics
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Virginia H. GoodwinRajmonda S. Caceres

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