We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: On ethical issues of randomized experiments
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > On ethical issues of randomized experiments
Business IntelligenceData Mining

On ethical issues of randomized experiments

SandroSaitta
SandroSaitta
3 Min Read
On ethical issues of randomized experiments
Illustration generated with Qwen Image.
SHARE

After reading Super Crunchers, a recent book by Ian Ayres, I have thought of ethical aspects of some experiments he mentioned (note that he is not involved in these experiments). In a few words, the idea of so called randomized experiments is to run an experiment with different parameters on the same population (in a somehow large scale) to see the influence of such parameters.

Ayres gives several examples of randomized experiments in his book. Of course, on some of these examples, there is no real ethical issue. For example, one can imagine a company such as Amazon performing randomized experiments. As written in Ayres book, a company may be interested in the impact of the way they threat their customers. For example, the company can decide to apply three different actions on customers who received their order lately. Of course, some customers will be treated with less attention than others. In this case, this way of doing is alright for two reasons. First, customers usually don’t know about such a process. Second, if they know it, they can certainly understand that this is a random experiment of the company.

Now, imagine the more serious case (some examples are presented in the book) of treating illness or influencing education. Performing random experiments will, in certain situations, directly affect the life of people. Would you agree that companies (or governments) performs randomized experiments that can influence your education (or the one of your children)? I think that the experiments mentioned in Ayres’ book can bring important issues about ethical aspects of data mining or statistics. Maybe you have a particular opinion about it?

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: A tech-editorial depiction of contextual re-identification risk in linked unstructured support recor
Stripping the Names Isn’t Enough: De-Identifying Unstructured Data
Exclusive Unstructured Data
Flat editorial illustration: The article connects practical management of local data, memory and software environments with direc
How Data Professionals Optimize Devices for AI and ML Projects
Artificial Intelligence Data Science Exclusive Machine Learning
Flat editorial illustration: The article connects verified lease abstraction at signing to accurate property charges and faster m
AI Lease Abstraction and Month-End Close Speed-Up Checklist
Artificial Intelligence Exclusive
Flat editorial illustration: The article explains that file-system choice determines whether Windows, macOS, and Linux can read o
Understanding File System Compatibility Across Windows, macOS, and Linux
Cloud Computing Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

MongoDB, BI and non-Relational Databases
Business IntelligenceSQL

MongoDB, BI and non-Relational Databases

6 Min Read
How Nate Silver Won the Election with Data Science
AnalyticsData MiningPredictive Analytics

How Nate Silver Won the Election with Data Science

10 Min Read
What IT really needs is more business direction
Business Intelligence

What IT really needs is more business direction

5 Min Read
“Why do CFOs and CEOs hate IT? - ERP” - Thomas Wailgum at CIO.com
Business Intelligence

“Why do CFOs and CEOs hate IT? – ERP” – Thomas Wailgum at CIO.com

8 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
5 Great Tips for Using Data Analytics for Website UX
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?