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Data Dilemma: AI and Privacy

by Carla Mooney

AI, data collection, and privacy

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AlbakiReads Editorial

AI, data collection, and privacy

Carla Mooney’s young adult nonfiction title examines the privacy and security questions raised as artificial intelligence becomes part of everyday digital systems. The book connects familiar uses—such as website data collection, surveillance, facial recognition, photo filters, and streaming services—with broader concerns about data leaks, algorithmic bias, and errors in areas including health care and law enforcement. It frames the subject as a balance between AI’s efficiency benefits and the risks to personal information, while highlighting human oversight and regulation as part of that discussion. The result is a topical introduction to how AI intersects with privacy across personal, commercial, and government contexts.

Good fit for readers who enjoy

  • Teens and young adults interested in artificial intelligence and digital privacy
  • Readers exploring data security, algorithmic bias, or surveillance
  • Students seeking an introduction to social questions around AI

Themes

Artificial intelligenceData collection and privacyData securityAlgorithmic biasHuman oversight and regulation

Based on publisher information and book metadata.

Book overview

There was a time when the digital age seemed far off, and using a computer to gather information or store data was just a fanciful idea. But in modern times, nearly all data, including everything from an individual's health and financial information to company records to national security details, is stored online or on a computer's hard drive. As more individuals, businesses, and government organizations rely on artificial intelligence (AI) to increase speed and efficiency, both that data and people's privacy become more vulnerable.

AI is commonly used to collect data on websites. It aids in video surveillance in public spaces and is built into many apps and computer programs, including facial recognition software, photo filters, and even entertainment streaming services. But AI poses significant challenges related to data collection, security, and algorithmic bias. Relying on AI can lead to discrimination, bias in important fields such as health care, and crucial mistakes in law enforcement--not to mention massive data leaks. As AI tools become more prevalent, the need for human oversight becomes greater than ever before, and the need for regulation grows nearly as fast as AI can gather information. How can we balance the benefits of AI with the protection of privacy?

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