A Framework for Risk Management in AI System Development Projects

Forecasting and Managing Risk in the Health and Safety Sectors Pub Date : 1900-01-01 DOI:10.4018/978-1-5225-7903-8.CH001

Kitti Photikitti, K. Dowpiset, J. Daengdej

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Abstract

It has been well-known that the chance of successfully delivering a software project within an allocated time and budget is very low. Most of the researches in this area have concluded that “user's requirements” of the systems is one of the most difficult risks to deal with in this case. Interestingly, until today, regardless of amount of effort put into this area, the possibility of project failure is still very high. The issue with requirement can be significantly increased when developing an artificial intelligence (AI) system, where one would like the systems to autonomously behave. This is because we are not only dealing with user's requirements, but we must also be able to deal with “system's behavior” that, in many cases, do not even exist during software development. This chapter discusses a preliminary work on a framework for risk management for AI systems development projects. The goal of this framework is to help project management in minimizing risk that can lead AI software projects to fail due to the inability to finish the projects on time and within budget.

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人工智能系统开发项目的风险管理框架

众所周知，在分配的时间和预算内成功交付软件项目的机会非常低。该领域的大多数研究都认为，在这种情况下，系统的“用户需求”是最难处理的风险之一。有趣的是，直到今天，不管在这个领域投入了多少努力，项目失败的可能性仍然很高。在开发人工智能(AI)系统时，需求问题可能会显著增加，因为人们希望系统能够自主行为。这是因为我们不仅要处理用户的需求，而且我们还必须能够处理“系统的行为”，在许多情况下，这些行为在软件开发期间甚至不存在。本章讨论了人工智能系统开发项目风险管理框架的初步工作。该框架的目标是帮助项目管理最小化可能导致AI软件项目因无法按时在预算范围内完成项目而失败的风险。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Forecasting and Managing Risk in the Health and Safety Sectors

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