Results 21 to 30 of about 145,182 (282)
Auditing Algorithmic Bias on Twitter [PDF]
Digital media platforms are reshaping our habits, how we access information, and how we interact with others. As a result, algorithms used by platforms, for example, to recommend content, play an increasingly important role in our access to information.
Nathan Bartley +3 more
openaire +1 more source
Markets, market algorithms, and algorithmic bias
Where economists previously viewed the market as arising from a ‘spontaneous order’, antithetical to design, they now design markets to achieve specific purposes. This paper reconstructs how this change in what markets are and can do came about and considers some consequences.
openaire +2 more sources
Modeling algorithmic bias: simplicial complexes and evolving network topologies
Every day, people inform themselves and create their opinions on social networks. Although these platforms have promoted the access and dissemination of information, they may expose readers to manipulative, biased, and disinformative content—co-causes of
Valentina Pansanella +2 more
doaj +1 more source
Versatile spectral imaging with an algorithm-based spectrometer using highly tuneable quantum dot infrared photodetectors [PDF]
We report on the implementation of an algorithm-based spectrometer capable of reconstructing the spectral shape of materials in the mid-wave infrared (MWIR) and long-wave infrared (LWIR) wavelengths using only experimental photocurrent measurements from ...
Attaluri, R.S. +7 more
core +2 more sources
How algorithmic popularity bias hinders or promotes quality
Algorithms that favor popular items are used to help us select among many choices, from engaging articles on a social media news feed to songs and books that others have purchased, and from top-raked search engine results to highly-cited scientific ...
Ciampaglia, Giovanni Luca +3 more
core +2 more sources
Bias‐compensated FX‐LMS algorithm [PDF]
Active noise control is an expanding field that requires a suitable synthesis of secondary perturbations. Unfortunately, most schemes for noise cancelling do not take into account that the input signal that drives the adaptive filter can be noisy. In this Letter, it is theoretically shown that noise perturbations in the excitation data degrade the ...
L.P.R. da Silva +4 more
openaire +1 more source
A Confidence-Based Approach for Balancing Fairness and Accuracy
We study three classical machine learning algorithms in the context of algorithmic fairness: adaptive boosting, support vector machines, and logistic regression.
Fish, Benjamin +2 more
core +1 more source
Prospects and Limitations of Algorithmic Cooling [PDF]
Heat-bath algorithmic cooling (AC) of spins is a theoretically powerful effective cooling approach, that (ideally) cools spins with low polarization exponentially better than cooling by reversible entropy manipulations alone.
Brassard, Gilles +3 more
core +1 more source
Ethics and discrimination in artificial intelligence-enabled recruitment practices
This study aims to address the research gap on algorithmic discrimination caused by AI-enabled recruitment and explore technical and managerial solutions. The primary research approach used is a literature review.
Zhisheng Chen
doaj +1 more source
Curriculum Guidelines for Undergraduate Programs in Data Science [PDF]
The Park City Math Institute (PCMI) 2016 Summer Undergraduate Faculty Program met for the purpose of composing guidelines for undergraduate programs in Data Science.
Agarwal, Mahesh +24 more
core +3 more sources

