After two cyber incidents in as many weeks, attention has focused on how the hacks happened. The harder question is how to prevent a repeat.
Articles on Data privacy
Displaying 21 - 40 of 359 articles
A privacy researcher breaks down how your phone reveals your location, how that data is collected and sold, and how the government gets ahold of it – by simply buying it.
Continuous tracking using real-time location systems is becoming increasingly common in hospitals and long-term care homes, raising questions about ethics and data use.
Urban digital twins pull together tremendous amounts of data to realistically model cities, but they’ve been missing a critical ingredient: people.
To overcome two challenges in training AI – scarce or hard-to-get data and data privacy – researchers have come up with a counterintuitive technique: fake it.
ICE’s dragnet is expanding across social media, putting everyone’s digital lives into the realm of border and immigration enforcement.
How people talk about data privacy can overcome – or reinforce – their skepticism that things can change.
What people think of their teachers is tremendously important for learning, and should inform how we analyze the potential use of AI chatbots in education.
Businesses spend heavily to secure the spot on your social media feed, and that investment has to be recouped.
Before you scan your face, you might want to think twice about the risks.
Canada needs to consider its digital independence from the domination of the United States. Participating in the Eurostack initiative offers a way to do so.
Ritual apologies after data breaches only go so far. We need better laws to stop these incidents happening at all.
Your personal privacy depends on your awareness, tech controls that allow you to decide what to share, and public policies that take personal privacy into account.
Many of the apps and social media platforms you use every day may not charge you money, but often there is a price to pay – your privacy.
What happens when your child’s toy appears to care for them – but doesn’t really?
Internet of Things devices are collecting an increasing amount of information, creating a web of data harvesting that ensnares people all around them.
If privacy is important anywhere, it is in the context of politics. If it is important at any time, that time is now.
Federated learning offers a new foundation for AI — one where privacy, transparency and innovation can move together.
AI tools that provide information to you also gather lots of information from you and may provide it to third parties.
Every piece of personal data about you has inherent value. As long as there are customers clamoring for that data, breaches are likely to continue.
Top contributors
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Associate Professor, Faculty of Law & Justice; Lead, UNSW Public Interest Law & Tech Initiative, UNSW
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Affiliated Faculty Member, Institute for Computational and Data Sciences, Penn State
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Professor of Cybersecurity, Head of School of Computer Science and Informatics, De Montfort University
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Associate Professor, School of Law, University of Canberra
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Professor in Business Information Systems, University of Sydney
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Professor of Cyber Security Practice, Edith Cowan University
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Adjunct Senior Lecturer, Applied Ethics and CyberSecurity, Griffith University
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Professor of Marketing, University of Sydney
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Dean of Global Business, The Fletcher School, Tufts University
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Associate Professor in Cyber Security, Adelaide University
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Professor of Business Law and Ethics, Indiana University
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Associate Professor of Political Science, Brock University
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Professor of Information Systems, Michigan State University
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Ph.D. Candidate in Geography and Assistant Director at the Center for Refugee Studies, Indiana University
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Professor of Cyber Security and Policy, Tufts University