Blind Spots in AI: the Role of Serendipity and Equity in Algorithm-Based Decision-Making

Cora van Leeuwen; Annelien Smets; An Jacobs; Pieter Ballon

doi:10.1145/3468507.3468514

Blind Spots in AI: the Role of Serendipity and Equity in Algorithm-Based Decision-Making

Cora van Leeuwen, Annelien Smets, An Jacobs, Pieter Ballon

Research output: Contribution to journal › Article › peer-review

Abstract

Decisions support systems (DSS) are used more and more to offer right information at the right time. Serendipity has been pro- posed to ensure that the experience is broad and engaging. However, only designing for serendipity might not be enough to avoid historical discrimination affecting your DSS. For this reason we argue to include equity when designing for serendipity.

Translated title of the contribution	Blind Spots in AI: de Rol van Serendipiteit and Equity in Algoritmische Beslissingen
Original language	English
Pages (from-to)	42-49
Number of pages	7
Journal	SIGKDD Explorations
Volume	23
Issue number	1
DOIs	https://doi.org/10.1145/3468507.3468514
Publication status	Published - 31 May 2021

Keywords

decision support systems
serendipity
historical bias
bias
AIPD

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title = "Blind Spots in AI: the Role of Serendipity and Equity in Algorithm-Based Decision-Making",

abstract = "Decisions support systems (DSS) are used more and more to offer right information at the right time. Serendipity has been pro- posed to ensure that the experience is broad and engaging. However, only designing for serendipity might not be enough to avoid historical discrimination affecting your DSS. For this reason we argue to include equity when designing for serendipity.",

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KW - AIPD

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Blind Spots in AI: the Role of Serendipity and Equity in Algorithm-Based Decision-Making

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