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Computers in Human Behavior Reports, 2022 The use of algorithms systems that manage employees is now common in many industries. Trucking is no exception since freight companies need sophisticated systems to comply with legal obligations regarding driving time limitations.
Xavier Parent-Rocheleau +1 more
exaly +3 more sources
Algorithmic Transparency with Strategic Users [PDF]
SSRN Electronic Journal, 2020 Should firms that apply machine learning algorithms in their decision making make their algorithms transparent to the users they affect? Despite the growing calls for algorithmic transparency, most firms keep their algorithms opaque, citing potential gaming by users that may negatively affect the algorithm’s predictive power. In this paper, we develop
Qiaochu Wang +3 more
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Public sector AI transparency standard: UK Government seeks to lead by example
Discover Artificial Intelligence, 2022 In releasing the Algorithmic Transparency Standard, the UK government has reiterated its commitment to greater algorithmic transparency in the public sector. The Standard signals that the UK government is both pushing forward with the AI standards agenda
Nigel Kingsman +7 more
doaj +1 more source
Proposing a Postcritical AI Literacy
Media Theory, 2023 So-called artificial intelligence (AI) is infiltrating our public and communication structures. The Dutch childcare benefit scandal, revealed in 2019, demonstrates how disadvantageous the opacity of AI can be for already vulnerable groups.
Eugenia Stamboliev
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The agency of the forum: Mechanisms for algorithmic accountability through the lens of agency
Journal of Responsible Technology, 2021 The wicked challenge of designing accountability measures aimed at improving algorithmic accountability demands human-centered approaches. Based on one of the most common definitions of accountability as the relationship between an actor and a forum ...
Florian Cech
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Fairness and Transparency in the Age of the Algorithm [PDF]
Significance, 2017 Abstract Sofia Olhede and Russell Rodrigues discuss recent efforts to ensure greater scrutiny of machine-generated ...
Olhede, S, Rodrigues, R
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Algorithmic Transparency for the Smart City [PDF]
SSRN Electronic Journal, 2017 Emerging across many disciplines are questions about algorithmic ethics – about the values embedded in artificial intelligence and big data analytics that increasingly replace human decisionmaking. Many are concerned that an algorithmic society is too opaque to be accountable for its behavior.
Brauneis, Robert, Goodman, Ellen P
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Algorithmic Transparency and Manipulation
Philosophy & Technology, 2023 A series of recent papers raises worries about the manipulative potential of algorithmic transparency. But while the concern is apt and relevant, it is based on a fraught understanding of manipulation. Therefore, this paper draws attention to the indifference view of manipulation, which explains better than the vulnerability view why algorithmic ...
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Spatial Dimensions of Algorithmic Transparency: A Summary [PDF]
17th International Symposium on Spatial and Temporal Databases, 2021 Spatial data brings an important dimension to AI’s quest for algorithmic transparency. For example, data driven computer-aided policy-decisions use measures of segregation (e.g., dissimilarity index) or income-inequality (e.g., Gini index), and these measures are affected by space partitioning choice.
Jayant Gupta +4 more
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Algorithms: transparency and accountability [PDF]
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2018 This opinion piece explores the issues of accountability and transparency in relation to the growing use of machine learning algorithms. Citing the recent work of the Royal Society and the British Academy, it looks at the legal protections for individuals afforded by the EU General Data Protection Regulation and asks whether the legal system will be ...
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