Privacy and Ethical considerations -Big Data Ethics Essay Sample

Big data ethics is a major problem as digital technology is taking over the world, so is a rising concern is ethics and privacy. Do companies holding all our data keep it safe? Do they have ethical values? How safe is our data? These are frequently asked questions. And the worry is natural.

Nevertheless, Big data is among the rising names of today’s trends. In this sample essay on the topic of Big data ethics, we will be going through just the same. The main points of discussion in this essay will be what do ethics means? What is Big data and the ethical problem with big data, Ethical challenges of big data, why are ethics important? And Principles for Big Data Ethics

What does ethics mean?

Ethics is a behavior or act that is largely accepted and acknowledged as “good”. In this case, ethics refers to moral values held by large organizations towards the privacy and confidentiality of society. As the world is getting advanced and more and more personal data is being uploaded online, big data ethics is becoming a large issue.

Moreover, we all want to know what is being done with our data and who sees it. Is it safe? We will be discussing why ethics are important in the next section of the paragraph.

Why is ethics important?

Ethics are important because they act as guidelines for one’s behavior and actions. They make all the difference between right and wrong. Therefore, ethics are even more important in larger organizations holding large amounts of data.

Furthermore, a company with no ethics can result in a breach of privacy for people. This can be harmful to the social harmony of society. As obvious as it is no one wants their personal information to be looked at. Adding to that, there is no way for a common person to know if their data is safe or not.

What is big data? & The problem with Big data ethics

In this paragraph, we will be discussing what is Big data and what are ethical problems related to this Megatrend of Industry 4.0.

What is Big Data? Big data refers to quite large and complex data sets, from new data sources. For the namesake, this data is so big that it can only be handled through a computer and not by traditional methods.

Moreover, this data is analyzed and studied to gain an insight, that can’t be seen otherwise. Moving on, this data is used for product innovation, AI & ML, development, and so on.

Now that we know what big data means, let’s move on to the next topic “the  problem with big data ethics”

As we know, these data set are created from different sources, in many cases, data also include the personal information of people and things like that. People do not want companies to stick their noses in their private lives. We all value our privacy.

Therefore, knowingly or unknowingly personal data of people from social platforms and sites is contained in big data. This creates a sense of worry in people and tension about privacy in society. We shall look at the ethical challenges of big data.

Challenges of Big Data Ethics

• Data privacy and a breach by hackers and malware
• Respecting the privacy agreement and patient
• Data may be used by a third party
• Quality of patient-generated data
• Ownership of data
• Unauthorized use of private data
• Monitoring through data without consent
• Availability of data to cooperate sector

Nevertheless, these are some of the ethical issues of Big Data. However, there is a large list of issues, which can be further mentioned.

Moving on, we looked at the problems which are being faced. In the next paragraph, we will be discussing the principles of big data ethics that should be followed.

Principles for Big data ethics

As technology is growing at an unprecedented pace, old laws and regulations fail to hold them. In today’s time, things get updated within months but laws do not. So in order to maintain balance and harmony, organizations and corporations must have basic ethical values.

Furthermore, these ethical values are more important than ever in the field of data science and even more so in Big data. Therefore we shall discuss the Ethical principles considerations for big data.

Moving on, these five principles of big data are as mentioned below:

Privacy

It means that the identity and private information of people should remain private. Also under legal agreement data may be shared. However, the data being shared should not comprise the privacy of people and their private information or identity.

Moreover, this data should not be handed to corporations and organizations which may result in a breach of privacy or expiation.

Confidentiality

The information being shared with other third-party organizations should remain confidential and safe. Moreover, the company holding the original data should maintain this quality too and should not share unethical data.

Transparency

The people should be able to see how their data is being used. The companies should remain transparent and let the people know where is the data going and who is buying it. the flow of their data should remain transparent throughout the cycle.

Respect

Big data should not challenge human will. It is a known fact that we see and hear has the ability to change and shape our thoughts. As a result, Big data has a tendency to shape our opinion. Therefore, it is the duty of the organization to not use this unfair advantage.

Fair

Machine learning models develop and learn from the information it is fed. They can pick up unfair biases based on the data. Therefore it should be looked after that these models remain fair and unbiased.

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