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The emergence of a newly popular artificial intelligence (AI) model from Chinese startup DeepSeek is raising national security and data privacy concerns for the U.S., not unlike those that spurred ...
This trend is driven by data privacy, security concerns, and AI's growing influence. This article is part of " Build IT ," a series about digital-tech trends disrupting industries. There's a ...
The definition of privacy engineering given by National Institute of Standards and Technology (NIST) is: [2]. Focuses on providing guidance that can be used to decrease privacy risks, and enable organizations to make purposeful decisions about resource allocation and effective implementation of controls in information systems.
One of the primary issues is model drift, where AI models degrade in performance over time due to changes in data patterns, necessitating continuous retraining and adaptation. [47] Additionally, data privacy and security are critical concerns, particularly when sensitive data is used in cloud-based models.
The development of AI models without policy safeguards has raised a variety of concerns among experts and commentators. These range from future existential risk from advanced AI models to immediate concerns surrounding current technologies' ability to disseminate misinformation, enable discrimination, and undermine national security. [12]
The number of deepfakes created has increased 900% in a year, according to data from machine learning firm Clarity, and an unprecedented amount of AI-generated content is likely to compound the ...