The Challenge of Biases in Machine Learning Models and Big Data Analytics for International Criminal Investigations

Milaninia, Nema

doi:10.2139/ssrn.3744164

SSRN Journal

2021

DOI: 10.2139/ssrn.3744164

|View full text |Cite

The Challenge of Biases in Machine Learning Models and Big Data Analytics for International Criminal Investigations

Nema Milaninia¹

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Book1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

A Case Study of Big Data Analytics Capability and the Impact of Cognitive Bias in a Global Manufacturing Organisation

Watts,

Taroun,

Jones

2024

Artificial Intelligence of Things (AIoT) for Productivity and Organizational Transition

View full text Add to dashboard Cite

With the rise of big data analytics in recent years, organisations now have more data than ever before to make decisions. Whilst AI solutions are developing to aid big data decision making, employees continue to analyse big data introducing bias and variability into the process. This chapter details a case study examining the efficacy of the big data analytic capability (BDAC) model, and how it can be augmented to account for cognitive bias to improve the model's organisational value. Qualitative semi-structured interviews were conducted within a global data-driven manufacturing organisation. Thematic analysis elucidated that cognitive bias impacts decision making when analysing big data. This case study yields recommendations for a modified big data analytics capability model to recognise an additional sub-dimension under the ‘intangibles' dimension of ‘objective decision-making'. Implications for manufacturing organisations and the role of AI in both removing and adding bias are discussed.

show abstract

A Case Study of Big Data Analytics Capability and the Impact of Cognitive Bias in a Global Manufacturing Organisation

Watts,

Taroun,

Jones

2024

Artificial Intelligence of Things (AIoT) for Productivity and Organizational Transition

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

The Challenge of Biases in Machine Learning Models and Big Data Analytics for International Criminal Investigations

Cited by 1 publication

References 23 publications

A Case Study of Big Data Analytics Capability and the Impact of Cognitive Bias in a Global Manufacturing Organisation

A Case Study of Big Data Analytics Capability and the Impact of Cognitive Bias in a Global Manufacturing Organisation

Contact Info

Product

Resources

About