Search Results - subject:"algorithmic bias"

Algorithmic bias and the Value Sensitive Design approach

Simon, Judith; Wong, Pak Hang; Rieder, Gernot - In: Internet Policy Review 9 (2020) 4, pp. 1-16

recommendations. Relating these debates on values in design and algorithmic bias to research on cognitive biases, we conclude by … contributions to understanding and addressing issues around bias in computer systems, outlines the current debates on algorithmic … bias and fairness in machine learning, and discusses how such debates could profit from VSD-derived insights and …

Persistent link: https://www.econbiz.de/10012502191

Algorithmic bias and the Value Sensitive Design approach

Simon, Judith; Wong, Pak Hang; Rieder, Gernot - In: Internet policy review : journal on internet regulation 9 (2020) 4, pp. 1-16

Persistent link: https://www.econbiz.de/10012499910

"Un"fair machine learning algorithms

Fu, Runshan; Aseri, Manmohan; Singh, Param Vir; … - In: Management science : journal of the Institute for … 68 (2022) 6, pp. 4173-4195

Persistent link: https://www.econbiz.de/10013369036

Inteligencia Artificial en el sector bancario : reflexiones sobre su régimen jurídico en la Unión Europea

Rodríguez de las Heras Ballell, Teresa - In: Información comercial española : ICE : revista de … 926 (2022), pp. 93-107

Persistent link: https://www.econbiz.de/10013395885

Assessing algorithmic fairness with unobserved protected class using data combination

Kallus, Nathan; Mao, Xiaojie; Zhou, Fuzhao - In: Management science : journal of the Institute for … 68 (2022) 3, pp. 1959-1981

Persistent link: https://www.econbiz.de/10013260286

Algorithmic bias in machine learning-based marketing models

Akter, Shahriar; Dwivedi, Yogesh K.; Sajib, Shahriar; … - In: Journal of business research : JBR 144 (2022), pp. 201-216

Persistent link: https://www.econbiz.de/10013184968

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 lives, such as credit lending or criminal justice. This is driven by the idea that 'objective' machines base their decisions solely on facts and remain unaffected by human...

Persistent link: https://www.econbiz.de/10012387323

Fair and unbiased algorithmic decision making : current state and future challenges

Tolan, Songül - 2018

Persistent link: https://www.econbiz.de/10012059236

Crowds, lending, machine, and bias

Fu, Runshan; Huang, Yan; Singh, Param Vir - In: Information systems research : ISR 32 (2021) 1, pp. 72-92

Persistent link: https://www.econbiz.de/10012594163

El rol del análisis de género en la reducción de los sesgos algorítmicos

Degli-Esposti, Sara - In: Información comercial española : ICE : revista de … 921 (2021), pp. 127-143

Persistent link: https://www.econbiz.de/10012804072