Ethics of Big Data: Balancing Risk and Innovation
Ethics of Big Data: Balancing Risk and Innovation
Ethics of Big Data: Balancing Risk and Innovation
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Price: $11.99 FREE for Members
Type: eBook
Publisher: O'Reilly Media
Page Count: 82
Format: pdf
Language: English
ISBN-10: 1449311792
ISBN-13: 9781449311797
User Rating: 4.6667 out of 5 Stars! (3 Votes)

Ethics of Big Data: Balancing Risk and Innovation download


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people revert to their own moral code." Davis feels that his concise book is timely because, he says, "Big data is literally changing what we value and how we value things. "What I call big data's 'forcing function' is the result of the volume, velocity, and variety of big data’s growth. Touching nearly all aspects of our lives, we are just now beginning to understand how it will influence our values and the meaning of words like identity, privacy, ownership, and reputation."


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| 5 out of 5 Stars!


Big Data is a fascinating, complex, and multi-layered topic that, with its inherent complexities, could have easily turned this book into a several hundred page publication. The truth is, the ethics around big data are equally if not more complex than the mechanics of how its collected, segmented and used. Fortunately, both Kord Davis and Doug Patterson do not wade too deeply into toolsets or the mechanics, but artfully balance real world examples with thought-provoking points about the use and ethics of big data.

Whether you actively are collecting and using big data today or you are completely new to the topic, Ethics of Big Data is an excellent (and easy) read for all to really explore the implications behind such rich insights collected on each one of us. I most appreciated the examples peppered throughout of different corporate published policies versus their actual use of big data.

Ethics of Big Data poses very important questions and considerations that every organization should think through. Equally beneficial is for consumers to understand how big data is used today and the risks of its abuse. Best of all, the book does not impose an ethical standpoint, but rather provides a meaningful structure for organizations to establish their position on and statement of use of big data.

Despite the deep nature of the topic, this book is an easy and insightful read and one that I would definitely recommend.

| 4 out of 5 Stars!


I think this little book of 65 pages offers a a coherent introduction to big data and privacy. When I first received the book, I want surprised to see how thin it is. Not a bad thing, but I guess I was expecting a much thicker book that goes on and on about data, data, and data. This one is a fast, interesting read. However, I want to reiterate that it is an introduction, not a comprehensive presentation of the subject.

Now, would I recommend spending twenty dollars to buy this book? The answer is no. Find a way to read it, but the listed price is way too expensive for what you are getting.

| 5 out of 5 Stars!


A very much needed, extremely well written essay on what the authors call the "forcing function" of Big Data - a push to consider serious ethical issues in light of the usage of Big Data - and how to improve one's organization by utilizing the results of ethical inquiry. In just 64 pages, Davis and Patterson walk the reader through what would have likely been a much more unreachable topic had it been written by another team, and the result is arguably one of the best business texts in the year-2012 marketplace.

After discussing Big Data and Big Data forcing in Chapter 1 ("Big Data, Big Impact"), the authors turn to values, ethical inquiry, and "ethical decision points" in Chapter 2 ("Values and Actions"), followed by a survey of current ethical practices by businesses in Chapter 3 ("Current Practices") and a component-by-component discussion of the the Alignment Methodology Framework introduced earlier in the book in Chapter 4 ("Aligning Values and Actions").

What makes this text so well put together is not just the writing style of the authors, but its organization and inclusion of many examples throughout the discussion that are likely to increase the practicality of the discussion. While Davis and Patterson do formally include a brief case study at the conclusion of Chapter 4, it is the small examples that carry the heavy lifting. And while the Alignment Methodology Framework at a surface level is reminiscent of the familiar Plan-Do-Check-Act cycle, the specifics that the authors provide for each step specifically target organizational values and how to align actions with those values.

Use of the buzzword "innovation" in the subtitle to this effort is actually well placed, unlike the inappropriate use of what can be seen as a buzzword in itself, "Big Data", in some other books in this year's business shelf. As the authors in Chapter 2 comment, "While big data represents both tremendous opportunity (in the form of new products and services) for broad business and social benefit, the opposite side of that coin is that it also represents serious risk. Finding and maintaining a balance between the benefits of innovation and the detriments of risks is, in part, a function of ethical inquiry."

"Developing a capability to find and maintain that balance is partially ethical because of the essential nature of the technology itself...Ethics come into play, in part, when organizations realize that information has value that can be extracted and turned into new products and services. The degree to which ethics play a role in this process is, of course, more complicated that a simple identification of which information is 'ancillary' and which is not. The ethical impact is highly context-dependent. But to ignore that there is an ethical impact is to court an imbalance between the benefits of innovation and the detriments of risk."

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