國立虎尾科技大學 |

Designing for Reliability in Algorithmic Systems.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Designing for Reliability in Algorithmic Systems./
作者:	Robertson, Samantha.
面頁冊數:	1 online resource (264 pages)
附註:	Source: Dissertations Abstracts International, Volume: 85-09, Section: B.
Contained By:	Dissertations Abstracts International85-09B.
標題:	Computer science. -
電子資源:	click for full text (PQDT)
ISBN:	9798381744798

Designing for Reliability in Algorithmic Systems.
Robertson, Samantha.

Designing for Reliability in Algorithmic Systems. - 1 online resource (264 pages)

Source: Dissertations Abstracts International, Volume: 85-09, Section: B.

Thesis (Ph.D.)--University of California, Berkeley, 2023.

Includes bibliographical references

As we introduce complex algorithmic systems into decision-making in high-stakes domains, system designers need principled approaches to help people set their expectations of these systems, and give them mechanisms for recovery when these systems fail. For example, a doctor using a machine learning-based system in clinical care needs to know when they can expect the model to perform well, and when they should not rely on its output. However, supporting these kinds of judgments is difficult when stakeholders have conflicting needs and goals, or cannot directly assess the quality of a system's output. This dissertation examines two such contexts: matching algorithms for assigning students to public schools; and machine translation systems, which use machine learning to translate between natural languages. I take three approaches to design for reliability in these contexts: first, teaching users what a system can and cannot do; second, aligning system evaluations with people's actual use cases, needs, and goals; and third, helping users recover from failures. By making it easier for users to understand what kinds of inputs are supported by a system, and how they can express their intent within that supported scope, we can increase users' agency to make appropriate decisions about how and when to use these systems in high-stakes settings.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798381744798Subjects--Topical Terms:

573171
Computer science.
Subjects--Index Terms:

Human-computer interactionIndex Terms--Genre/Form:

554714
Electronic books.

Designing for Reliability in Algorithmic Systems.
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