The Good, The Bad, and The Creepy: Why Data Scientists Need to Understand Ethics

[@david2am]

Thanks, I like this conversation a lot, I appreciate for sharing it

[@georgetimuri5491]

Excellent conversation . Thanks

[@SASUsers]

We're glad you enjoyed the content and thanks for posting!

[@Aleamanic]

Great presentation, thank you for doing this. One point on the (very interesting concept of) "Maslow's Hierarchy of Needs": ETHICS should be at the bottom (foundation), not as the last level (where Maslow put "self actualization"). Before any data science effort, the ethical perspective should come before anything else (is the effort that is being addressed with data science ethical?). Your very presentation implies that lack of forethought lead to a lot of ethical issues in these high profile data abuses. So if we use the Maslow hiearchy metaphor, ETHICS should be the foundation of the pyramid. Just like in research you go to the IRB first, this new order or priority will be key to establish in business culture. For the time being, "getting things done" reigns supreme over "doing the right things".

[@SASUsers]

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[@txexmxiii2125]

Mad science