An examination of the ethical considerations involved in data analytics

 Data analysis plays a crucial role in understanding the world around us and making informed decisions. As our reliance on data continues to grow, it is essential to address the ethical concerns that arise during the collection, processing and interpretation of data. Ethical data analysis involves considering the potential harm or unfairness to individuals or groups and taking necessary steps to mitigate these issues. By adhering to ethical guidelines, data analysts can ensure that their work contributes positively to society and respects the rights of those whose data they work with.

Data may be used to enhance judgments and significantly impact the company. Business people who handle data must adhere to specific ethical standards. Data contains personal information about individuals, and thus it must be used appropriately to protect privacy. For instance, your business may capture and retain information on a customer’s journey from the first time they input their email address on your website until they buy your products. The person’s report must be kept safe. 

Ethical use of data analytics:

Intention

Before collecting data, ask yourself why you need it, what you’ll gain from it, and what changes you’ll be able to make after analysis. If your intention is to hurt others, profit from your subjects’ weaknesses, or any other malicious goal, it’s not ethical to collect their data.        

When your intentions are good, for instance, collecting data to gain an understanding of women’s healthcare experiences so you can create an app to address a pressing need, you should still assess your intention behind the collection of each piece of data. 

Outcomes

Even when intentions are good, the outcome of data analysis can cause inadvertent harm to individuals or groups of people. 

 Unfortunately, you can’t know for certain the impact your data analysis will have until it’s complete. By considering this question beforehand, you can catch any potential occurrences of disparate impact.


Privacy

It is crucial to protect sensitive information about individuals. This can be achieved by anonymising data, obtaining informed consent from participants and adhering to data protection regulations such as GDPR. Ethical data analysts prioritize maintaining the trust of those whose data they work with and ensuring that information is not disclosed without permission.

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Source-link: https://www.articlefloor.com/an-examination-of-the-ethical-considerations-involved-in-data-analytics/

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