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Doing Data for Good Right
5 years 9 months ago #46
by PABlo
Doing Data for Good Right was created by PABlo
The link below leads to a blog article about using data science to support humanitarian issues, and outlines the ethical principles that the DataKind community has created.
Read on and see what you think.
SOURCE: www.datakind.org/blog/doing-data-for-good-right
Read on and see what you think.
SOURCE: www.datakind.org/blog/doing-data-for-good-right
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5 years 9 months ago #47
by Melissa
Replied by Melissa on topic Doing Data for Good Right
While reading this article I found it very interesting about our data sciences we have to this day and what we're capable of doing with it to help with our issues today.
I think we can go a long way using the data science. The issue within the blog here is whether or not the scientist at Datakind should do the right thing consider by their job or by their morals. they explain how they try to keep their research open and not categorized because they know it is wrong, not label others, however, in order for them to receive the best data they must put them under categories. In this article, they go through the different questions: "How do we ensure that the predictive models we build don’t have unintended consequences - and can we ever be sure of that? How can we assess the benefits of implementing an algorithm versus the possible risks? How do we ensure that we don’t allow these ethical challenges to prevent us from taking action when the status quo is worse?".
how would you respond in an ethical situation where you have a person upset because of being labeled (i.e personality or behavior) and you know putting labels on others is not right but you must in order to gather your data?
I think we can go a long way using the data science. The issue within the blog here is whether or not the scientist at Datakind should do the right thing consider by their job or by their morals. they explain how they try to keep their research open and not categorized because they know it is wrong, not label others, however, in order for them to receive the best data they must put them under categories. In this article, they go through the different questions: "How do we ensure that the predictive models we build don’t have unintended consequences - and can we ever be sure of that? How can we assess the benefits of implementing an algorithm versus the possible risks? How do we ensure that we don’t allow these ethical challenges to prevent us from taking action when the status quo is worse?".
how would you respond in an ethical situation where you have a person upset because of being labeled (i.e personality or behavior) and you know putting labels on others is not right but you must in order to gather your data?
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