ENTRIES TAGGED "data ethics"

Untangling algorithmic illusions from reality in big data

Kate Crawford argues for caution and care in data-driven decision making.

Microsoft principal researcher Kate Crawford (@katecrawford) gave a strong talk at last week’s Strata Conference in Santa Clara, Calif. about the limits of big data. She pointed out potential biases in data collection, questioned who may be excluded from it, and hammered home the constant need for context in conclusions. Video of her talk is embedded below: Crawford explored…
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New ethics for a new world

The biggest threat that a data-driven world presents is an ethical one.

Since the first of our ancestors chipped stone into weapon, technology has divided us. Seldom more than today, however: a connected, always-on society promises health, wisdom, and efficiency even as it threatens an end to privacy and the rise of prejudice masked as science. On its surface, a data-driven society is more transparent, and makes better uses of its resources….
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Top Stories: June 11-15, 2012

Top Stories: June 11-15, 2012

The future of desktops, ethics and big data, narrative vs spreadsheets.

This week on O'Reilly: Josh Marinacci predicted that 90% of computer users will rely on mobile, but 10% will still need desktops; the authors of "Ethics of Big Data" explored data's trickiest issues; and Narrative Science CTO Kris Hammond discussed narrative's role in data analytics.

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Automated science, deep data and the paradox of information

Automated science, deep data and the paradox of information

Be aware of the just-so data stories that sound reasonable but cannot be conclusively proven.

Bradley Voytek: "Our goal as data scientists should be to distill the essence of the data into something that tells as true a story as possible while being as simple as possible to understand."

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If your data practices were made public, would you be nervous?

If your data practices were made public, would you be nervous?

Solon Barocas on data mining's reputation and the ethics of data collection.

Solon Barocas, a doctoral student at New York University, discusses consumer perceptions of data mining and how companies and data scientists can shape data mining's reputation.

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