Age-stratified infection fatality rate of COVID-19 in the non-elderly informed from pre-vaccination national seroprevalence studies
On 18 Oct, 2022 By admin 0 Comments
Bias
Why Most Published Research Findings Are False
On 1 Oct, 2022 By admin 0 Comments
DSA ADS Course - 2023
Why Most Published Research Findings Are False
Discuss scientific method and multiple causes of broken big science.
Discuss big science cartel and conflicts of interest.
Discuss government role in big science and suggest policy corrections to remedy.
The Data Don't Speak for Themselves
On 26 May, 2021 By admin 0 Comments
DSA ADS Course - 2021
Bias in Analytical Research
On 18 Nov, 2020 By admin 0 Comments
1979
Bias in Analytical Research
By:
David L. Sackett
Participation is NOT a Design Fix for Machine Learning
On 28 Aug, 2020 By admin 0 Comments
August, 2020
Abstract
This paper critically examines existing modes of participation in design practice and machine learning. Cautioning against 'participation-washing', it suggests that the ML community must become attuned to possibly exploitative and extractive forms of community involvement and shift away from the prerogatives of context-independent scalability.
Man is to Computer Programmer as Woman is to Homemaker - Debiasing Word Embeddings
On 30 Mar, 2017 By admin 0 Comments
Perspectives on Big Data, Ethics, and Society
On 7 Feb, 2017 By admin 0 Comments
Jacob Metcalf, Emily F. Keller, Danah Boyd
Abstract:
The Council for Big Data, Ethics, and Society was convened to bring together researchers from diverse fields who were thinking deeply about ethical, social and policy challenges associated with the rise of “big data” research and industry, with an eye toward developing recommendations about future directions for the field.
When the Algorithm Itself Is a Racist: Diagnosing Ethical Harm in the Basic Components of Software
On 7 Feb, 2017 By admin 0 Comments
CHRISTIAN SANDVIG, KEVIN HAMILTON, KARRIE KARAHALIOS, CEDRIC LANGBORT
Abstract:
Big Data's Disparate Impact
On 7 Feb, 2017 By admin 0 Comments
Solon Barocas, Andrew D. Selbst
2016
Abstract:
Risk, Race & Recidivism: Predictive Bias and Disparate Impact
On 26 May, 2016 By admin 0 Comments