I am sure you are of the idea that data science is important to the technological evolution that is taking place. Data science has been a great step technologically has it gives an array of what could be gained from data. However, there is the hard question of how ethics can be applied in data scienece. I am sure you are aware of data is being used maliciously to harm people. Do you think it is fair that someone has to be harmed just because their data is out there? I believe you condemn it in the strongest way you can because you never know when you will become a victim.
I really advocate for the case of consent before acquiring someone’s data. The cases where sensitive data has been used against people through blackmail or even leaking the data thus causing damage to other people is the case because these data has been acquired without the consent of the owner. Doing away with the illegal act of acquiring data can be a big step in the application of ethics in data science. As a way of promoting this, stringent consequences should be put forth for those who will be found guilty of illegal access to data. Additionally, security software should be created that cannot be bypassed by outsiders thus guaranteeing the safety of data. 693
Doesn’t the above sound ethical? I would like to feel safe in the technological space as far as data is concerned. Wouldn’t you too?
Additionally, data is usually provided for some purposes. However, these purposes may get manipulated thus using the data for other reasons other than the consented ones. I am sure you have come across victims of the above. Therefore, data should be used only for the intended use. How do we arrive at this? Quite simple! People who are found guilty of using data for the wrong uses should be used as an example to those who would want to do the same in future. This is through making them pay for any damages caused as well as their licenses being revoked. In fact, they should face criminal charges. This will streamline data science as far as ethics application is concerned. 693