InfoQ Homepage Privacy Content on InfoQ
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Fairness, Transparency, and Privacy in AI @LinkedIn
Krishnaram Kenthapadi focuses on the application of privacy-preserving data mining and fairness-aware ML techniques in practice, by presenting case studies spanning different LinkedIn applications.
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Machine Learning Interpretability in the GDPR Era
Gregory Antell explores the definition of interpretability in ML, the trade-offs with complexity and performance, and surveys the major methods used to interpret and explain ML models in the GDPR era
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Ethics in Computing Panel
The panelists discuss the important points around privacy, security, safety online, and intent of software today.
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Data, GDPR & Privacy: Doing It "Right" without Losing It All
Amie Durr talks about the privacy concerns and subsequent regulations, and how to operate a business that does the "Right" thing for the consumer, without impact the ability to innovate and grow.
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Privacy Ethics – A Big Data Problem
Raghu Gollamudi broadly covers best practices with respect to Data Management aspects from mapping Enterprise data to applying Data Protection rules like GDPR at petabyte scale.
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Blockchain-Based Identity Management & Upcoming ICO
Armin Ebrahimi discusses how ShoCard uses the blockchain technology to address privacy concerns in identity management.
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Distributed Ledgers: Anonymity and Immutability at Scale
Eleanor McHugh discusses distributed ledgers, what they are, what they are useful for and the privacy concerns they raise.
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Uses of Big Data by a Non-Profit Engaged in Conducting Events Funded in Part by Third Party Sponsors
Thomas Grilk discusses how a non-profit can efficiently use data from customers/athletes in its marketing and sponsorship activities while respecting the privacy and confidentiality of its customers.
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Privacy is Always a Requirement
Eleanor McHugh shares insights on digital privacy, encouraging others to gather the minimum information possible about their users in order to serve their needs.
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Welcome to the Internet of Things, By the Way Privacy Is Dead
Kate Carruthers overviews some of the privacy challenges and security issues introduced by the Internet of Things.
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One Backend Per User: 100% Data Privacy / 0 Scaling Issues
Michiel de Jong suggests solving the data privacy and scalability issues by enabling mobile apps to connect to user's preferred back-end using Dropbox.js, GDrive JS, NimbusBase, remoteStorage.io, etc.
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Hyper Focused to a Fault
Brittany Tarvin discusses the security and privacy issues related to mobile inter-app communication.
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