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In the world of AI-driven advertising, personalization has evolved into hyperpersonalization. This shift, driven by rapid advancements in AI tools and technology, has raised ethical concerns about data privacy. Krishnakumar Govindarajan, Global Chief Technology Officer, MiQ highlights the emergence of laws like DPDP, GDPR, and CCPA, emphasizing the need for stringent controls and ethical considerations.
▾ Techniques and Algorithms for Enhanced Ad Relevance
Personalization is not new anymore; it’s been the norm for over a decade now. With the rapid advancements in tools, technology and process in AI and the rush to differentiate and monetize all the data that organizations have and are collecting, personalization has evolved into Hyper-personalization over time. This, for the right reasons, has led to the rise in ethical concerns regarding data privacy in AI marketing. For instance—look at the recent high-profile data breaches and other privacy scandals. Scores of laws that have come to reality—DPDP, GDPR, CCPA, etc., are helping in setting the base expectation around data privacy and opening up opportunities to set up higher levels of controls that organizations see as differentiators, eg., browser third-party cookie deprecation, Apple IDFA deprecation, edge computing, browser sandboxing, etc.,
Data privacy is no longer limited to ‘invasion of user privacy’, it now encapsulates data protection concerns as well as algorithmic bias concerns.
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Diese Geschichte stammt aus der November, 2023-Ausgabe von PCQuest.
Starten Sie Ihre 7-tägige kostenlose Testversion von Magzter GOLD, um auf Tausende kuratierte Premium-Storys sowie über 8.000 Zeitschriften und Zeitungen zuzugreifen.
Bereits Abonnent? Anmelden
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