As patients, we care about the privacy of our medical record; but as patients, we also wish to benefit from the analysis of data in medical records. As citizens, we want a fair trial before being punished for a crime; but as citizens, we want to stop terrorists before they attack us. As decision-makers, we value the advice we get from data-driven algorithms; but as decision-makers, we also worry about unintended bias. Many data scientists learn the tools of the trade and get down to work right away, without appreciating the possible consequences of their work. This course focused on ethics specifically related to data science will provide you with the framework to analyze these concerns. This framework is based on ethics, which are shared values that help differentiate right from wrong. Ethics are not law, but they are usually the basis for laws. Everyone, including data scientists, will benefit from this course. No previous knowledge is needed.
* This article was originally published here
advertiser arms availabile belt blue boot breed bridge brooches buckle case claddagh color com comfort crafted cross crown custom-made detail dress elegant ericdress eur faces features fit foods frame free gift hand home id intensive internet irish iron jeans jk knitted li light london love manufacturer masonic material miso name native noses oakley open oz patriot pencil perfect plain plant plus post-lift posts price products rainbow red redlinegoods redtab retail romwe rounded sale scoop sexy shift size sleeve sourced spring stainless star steel store stripes styles suit sustained tailored-fit threads top types ul universal usd von wholesale wide women xl
created at TagCrowd.com