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Abstract
Mass surveillance is a more real threat now than at any time in history. Digital communications and automated systems allow for the collection and processing of private information at a scale never seen before. Many argue that mass surveillance entails a significant loss of privacy. Others dispute that there is a loss of privacy if the information is only encountered by automated systems.
This paper argues that automated mass surveillance does not involve a significant loss of privacy. Through providing a definition of informational privacy as a matter of actual access of private information by one who can understand the meaning of that information, it follows that automated systems which lack understanding cannot of themselves diminish privacy. This is not to say that mass surveillance is unproblematic, though: it is deeply problematic. It is just that privacy is not the most significant of these problems.

What's wrong with targeted advertising in political campaigns? Are echo chambers a matter of genuine concern? How does data collection impact on trust in society? As decision-making becomes increasingly automated, how can decision-makers be held to account? This collection consider potential solutions to these challenges.

What's wrong with targeted advertising in political campaigns? Are echo chambers a matter of genuine concern? How does data collection impact on trust in society? As decision-making becomes increasingly automated, how can decision-makers be held to account? This collection consider potential solutions to these challenges.

Law enforcement authorities (LEAs) have begun using artificial intelligence and predictive policing applications that are likely to raise ethical, data protection, social, political and economic issues. This paper describes application of a new scenario methodology for identifying issues that emerging technologies are likely to raise in a future six or seven years hence, but that deserve policymakers' attention now. It often takes policymakers that long to develop a new policy, consult with stakeholders and implement the policy. Thus, policymakers need a structured, but concise framework in order to understand the issues and their various implications. At the same time, they also prefer policies that have stakeholder support. These considerations led the University of Twente in the Netherlands and the UK's Trilateral Research to develop the scenario that follows. It is structured with several headings that policymakers need to consider in order to move toward a desired future and avoidance of an undesired future.