Titlebook: Big Data Challenges; Society, Security, I Anno Bunnik,Anthony Cawley,Andrej Zwitter Book 2016 The Editor(s) (if applicable) and The Author(

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Man vs. Machine: The Battle for the Soul of Data Sciencenable people to share intellectual burdens? Advances in Artificial Intelligence using Big Data could mean people are no longer the sole agents of genuine discovery and may soon share this special attribute with genuinely intelligent and inventive machines.

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The Network Effect on Ethics in the Big Data Agerity from manipulation, and education for appropriate internet use. The chapter reflects on whether our ethical frameworks still match the Big Data age. It concludes that we might need to redevelop individualistic ethical norms to match a network logic of power and responsibility.

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Sustainable Innovation: Placing Ethics at the Core of Security in a Big Data Ageity. It is argued that decisions to deploy Big Data are being made in the absence of any systematic epistemology or methodology to track and manage the influences of human intuition and social processes on that action.

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Needles in Haystacks: Law, Capability, Ethics, and Proportionality in Big Data Intelligence-Gatherinss surveillance. Big Data implies an epistemological shift in data analysis, and opens up new opportunities for security agencies to become more proactive and pre-emptive. This chapter argues that, while the risks of such a move must be recognised, we must also be able to deliver security responsibly.

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Countering and Understanding Terrorism, Extremism, and Radicalisation in a Big Data Ageons and the private sector in this regard. Bunnik makes the argument that whilst it is inevitable that Big Data will take centre stage in counter-terrorism, its potential should also be utilised to better understand radicalisation and extremism.

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https://doi.org/10.1057/978-1-349-94885-7society; intelligence; ethics; innovation; legal frameworks; data socience; journalism; law enforcement; cou

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