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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 ...
AI regulation is also sometimes advocated for in order to prevent bias and privacy violations. [6] However, it has been criticized as possibly leading to regulatory capture by large AI companies like OpenAI, in which regulation advances the interest of larger companies at the expense of smaller competition and the public in general. [6]
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 .
Concerns cited ranged from how AI is used in surveillance and in spreading fake content online (known as deep fakes when they include doctored video images and audio generated with help from AI) to cyberattacks, infringements on data privacy, hiring bias, autonomous vehicles, and drones that do not require a human controller. [72]
This revelation prompted governments and organizations to revisit data collection and storage practices to better protect individual privacy while also addressing national security concerns. The case also exposed widespread online surveillance of other countries and their citizens, raising important questions about data sovereignty and ownership.
Recent developments in computer science and data ... such as privacy versus security, demonstrating that it is possible to have both. ... is a normal part of the ...
Regulation of the issues of ethical and legal support for the development of AI is accelerating, and policy ensures state control of Chinese companies and over valuable data, including storage of data on Chinese users within the country and the mandatory use of People's Republic of China's national standards for AI, including over big data ...
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