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
    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
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 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
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

How Local Service Businesses Can Map Which Neighborhoods Generate the Most Revenue -- AI-generated illustration
How Local Service Businesses Can Map Which Neighborhoods Generate the Most Revenue
Business Intelligence
Best VMware Alternatives in Thailand for Private Cloud and HCI Deployments -- AI-generated illustration
Best VMware Alternatives in Thailand for Private Cloud and HCI Deployments
Cloud Computing Exclusive IT
Using Safety Metrics and Incident Data to Reduce Construction Risk and Insurance Costs -- AI-generated illustration
Using Safety Metrics and Incident Data to Reduce Construction Risk and Insurance Costs
Big Data Exclusive
How Business Intelligence Can Help Small Businesses Build Better Decision Rules -- AI-generated illustration
How Business Intelligence Can Help Small Businesses Build Better Decision Rules
Business Intelligence Business Rules Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

How do the Swedes sweeten performance management?
Business IntelligencePredictive Analytics

How do the Swedes sweeten performance management?

4 Min Read
The CIO Diaries - Bridging the Gap to LBOs
AnalyticsBusiness IntelligenceCloud ComputingCollaborative DataData MiningData QualityData VisualizationData WarehousingDecision ManagementStatistics

The CIO Diaries – Bridging the Gap to LBOs

3 Min Read
Mobile BI: An App or Just Another Report?
Business Intelligence

Mobile BI: An App or Just Another Report?

5 Min Read
Watch the Replay: Putting Customer Value to Work - What Predictive Analytics Can Do for Your Bottom Line
Business IntelligencePredictive Analytics

Watch the Replay: Putting Customer Value to Work – What Predictive Analytics Can Do for Your Bottom Line

2 Min Read

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

Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

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?