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Data and Democracy at Work: Advanced Information Technologies, Labor Law, and the New Working Class
Rogers, Brishen - 2023
An exploration of how major companies have used advanced information technologies to limit worker power, and how labor law reform could reverse that trend.As our economy has shifted away from industrial production and service industries have become dominant, many of the nation's largest...
Persistent link: https://www.econbiz.de/10014458245
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Algorithmic Bias and Racial Inequality: A Critical Review
Kasy, Maximilian - 2024
Most definitions of algorithmic bias and fairness encode decisionmaker interests, such as profits, rather than the interests of disadvantaged groups (e.g., racial minorities): Bias is defined as a deviation from profit maximization. Future research should instead focus on the causal effect of...
Persistent link: https://www.econbiz.de/10014533924
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Fair and unbiased algorithmic decision making: Current state and future challenges
Tolan, Songül - 2018
Machine learning algorithms are now frequently used in sensitive contexts that substantially affect the course of human … overwhelming evidence showing that algorithms can inherit or even perpetuate human biases in their decision making when they are …, fairness constraints in algorithms have to be specific to the domains to which the algorithms are applied. In the future …
Persistent link: https://www.econbiz.de/10012387323
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Simplification of administrative procedures through fully automated decision-making: The case of Norway
Weitzenboeck, Emily M. - In: Administrative Sciences 11 (2021) 4, pp. 1-23
Norway has a high degree of digitalisation. In the public sector, there is a long tradition of automation of parts of … case management. This includes automation of cases where a public sector body makes a so-called individual administrative …
Persistent link: https://www.econbiz.de/10014332946
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Verleihung des Gerhard-Fürst-Preises 2020
Krämer, Walter - In: WISTA – Wirtschaft und Statistik 72 (2020) 6, pp. 19-22
Mit dem Gerhard-Fürst-Preis des Statistischen Bundesamtes werden Arbeiten in den Kategorien Dissertationen und Master- beziehungsweise Bachelorarbeiten ausgezeichnet, die theoretische Themen mit einem engen Bezug zum Aufgabenspektrum der amtlichen Statistik behandeln oder empirische...
Persistent link: https://www.econbiz.de/10012392750
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Systemic acquired critique of credit card deception exposure through machine learning
Dantas, Rui Miguel; Firdaus, Raheela; Jaleel, Farrokh; … - In: Journal of Open Innovation: Technology, Market, and … 8 (2022) 4, pp. 1-20
A wide range of recent studies are focusing on current issues of financial fraud, especially concerning cybercrimes. The reason behind this is even with improved security, a great amount of money loss occurs every year due to credit card fraud. In recent days, ATM fraud has decreased, while...
Persistent link: https://www.econbiz.de/10014329692
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The implications of automation for economic growth and the labor share
Prettner, Klaus - 2016
We introduce automation into a standard model of capital accumulation and show that (i) there is the possibility of … automation that maximizes long-run growth; (iv) the labor share declines with automation to an extent that fits to the observed …
Persistent link: https://www.econbiz.de/10011555352
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The Political Economy of AI: Towards Democratic Control of the Means of Prediction
Kasy, Maximilian - 2024
trading off individual gains and losses. (iv) AI requires democratic control of algorithms, data, and computational … decision-making, and (v) automation and the impact of AI on the labor market and on wage inequality. …
Persistent link: https://www.econbiz.de/10014533823
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The implications of automation for economic growth and the labor share of income
Prettner, Klaus - 2016
We introduce automation into the standard Solovian model of capital accumulation and show that (i) there is the … diverted to automation that maximizes the long-run growth rate of the economy; (iv) the labor share declines with automation to …
Persistent link: https://www.econbiz.de/10011475712
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Artificial intelligent technologies for the construction industry: How are they perceived and utilized in Australia?
Regona, Massimo; Yigitcanlar, Tan; Xia, Bo; Li, Rita Yi Man - In: Journal of Open Innovation: Technology, Market, and … 8 (2022) 1, pp. 1-23
Artificial intelligence (AI) is a powerful technology that can be utilized throughout a construction project lifecycle. Transition to incorporate AI technologies in the construction industry has been delayed due to the lack of know-how and research. There is also a knowledge gap regarding how...
Persistent link: https://www.econbiz.de/10014329520