AI Privacy
Rohan Sharma
Chapter Chapter 4 in AI and the Boardroom, 2024, pp 37-45 from Springer
Abstract:
Abstract As we increasingly rely on AI systems to drive innovation and efficiency, the risk of privacy breaches has become a ticking time bomb. With the ability to collect, analyze, and predict human behavior, AI systems pose a significant threat to individual privacy. The question is no longer if, but when the next major data breach will occur. As Marlon Brando aptly put it, "Privacy is not something we are merely entitled to, it's an absolute prerequisite." This chapter explores the critical need for robust AI privacy governance, providing a framework for organizations to safeguard sensitive information while leveraging AI technologies.
Date: 2024
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:979-8-8688-0796-1_4
Ordering information: This item can be ordered from
http://www.springer.com/9798868807961
DOI: 10.1007/979-8-8688-0796-1_4
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().