Data Privacy
Ideas and insights about data privacy from MIT Sloan.
Third-party AI tools pose risks for organizations
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A responsible AI framework mitigates the risks from artificial intelligence systems developed outside the company.
The legal issues presented by generative AI
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Generative artificial intelligence raises novel legal questions about data use and how content will be regulated. A law partner offers guidance.
The world needs a global AI observatory — here’s why
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A roster of artificial intelligence experts calls for an international body to better identify the risks, opportunities, developments, and possible global effects of AI.
New MIT podcast explores the promise and peril of data
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How is data used to lead, mislead, manipulate, and inform viewpoints and decisions? The MIT Institute for Data, Systems, and Society investigates.
Blockchain for marketing? Maybe, but privacy issues abound
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Blockchain’s permanent record is one of its strengths, but it can cause problems for marketing strategies and consumer privacy.
Survey details data officers’ priorities, challenges
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Chief data officers are focused on data governance and creating a data-driven culture, according to a new survey report written by Tom Davenport.
What is synthetic data — and how can it help you?
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Synthetic data offers the opportunity to test new ideas and develop new products without putting personal or health data at risk.
Why companies need artificial intelligence explainability
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Four reasons stakeholders don’t trust AI systems, and how companies can overcome them.
5 data monetization tools that help AI initiatives
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Launching artificial intelligence initiatives can be a daunting task. Start with these five data monetization capabilities.
How to respond to a ransomware attack
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Should you pay up? Here are five things to consider when you’re hit with ransomware, according to a Secret Service cyber investigator.