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Home»Cybersecurity»Law enforcement benefits or security threats?
Cybersecurity

Law enforcement benefits or security threats?

By February 7, 2025Updated:February 13, 2025No Comments7 Mins Read
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In recent years, digital landscapes have changed dramatically due to the rise of platforms and applications powered by sophisticated algorithms and artificial intelligence. Among these, Tiktok and deepseek It has captivated millions of users around the world and has emerged as a well-known player. However, both platforms raise important security and ethical concerns, particularly regarding their relationship with the Communist Party of China (CCP) and algorithmic practices.

Tiktok and algorithm security issues

Tiktok, a social media giant known for its short video content, faces intense scrutiny over its algorithmic manipulation and data privacy policy. The platform’s algorithms designed to deliver personalized content to users rely heavily on data collection and analysis. Critics argue that this extensive data collection poses considerable risks as CCPs could access and utilize data for surveillance purposes.

The Supreme Court’s decision to ban Tiktok in the United States underscores these concerns. This decision was driven primarily by fear that it could use app algorithms to manipulate and influence users, potentially damaging national security and privacy. The ruling reflects the growing awareness of the potential dangers associated with foreign controlled algorithms and the need to prevent such threats.

What is Deepseek?

Deepseek, a Chinese AI company founded by Liang Wenfeng in 2023, is based in Hangzhou, Zhijiang. The company is quickly recognized for competing at a significantly lower cost by developing sophisticated AI models that compete with top American companies like OpenAI. A key milestone for DeepSeek is the release of the Deepseek-R1 model. It boasts advanced inference capabilities on par with Openai’s offering.

Deepseek has recently surpassed ChatGpt in Apple Store downloads, showing a rapid rise in popularity. However, this success has not come without controversy. Like Tiktok, Deepseek’s algorithm raised alarms about the potential alignment of CCP’s interests and their impact on human rights.

DeepSeek’s algorithms are designed to optimize user engagement and information dissemination. This improves the user experience, but also opens the door to operation and censorship. There are concerns that Deepseek’s algorithms could prioritize content that matches the CCP narrative, suppress dissent and promote propaganda. This poses a serious threat to freedom of speech and democratic values.

DeepSeek is an advanced artificial intelligence platform designed to enhance user engagement through sophisticated algorithms that analyze and predict user behavior. Unlike traditional search engines and content delivery systems, DeepSeek leverages a combination of machine learning, natural language processing, and neural networks to provide highly personalized content recommendations. The platform has been particularly praised for its ability to quickly provide relevant information, improving user experience and satisfaction.

Setting up DeepSeek apart from other AI-driven platforms like ChatGPT focuses on real-time data analytics and content optimization. Developed by Openai, ChatGpt is a conversational agent known for its ability to generate human-like text based on user prompts, but DeepSeek takes it a step further by integrating predictive analytics into operations. This means that DeepSeek not only responds to user queries, but also predicts user needs by analyzing patterns of behavior. For example, when users frequently search for news about technology, DeepSeek’s algorithms actively propose the latest technical articles, videos, and related content to create a more immersive and intuitive user experience.

What can I use DeepSeek for?

DeepSeek’s applications extend beyond simple content recommendations. By analyzing huge amounts of data, DeepSeek can identify trends, predict market changes, and provide actionable insights that businesses and organizations can use in strategic decision-making. In policing, Deepseek’s predictive capabilities can help prevent crime by identifying potential hotspots and criminal behavior patterns, as well as investigation trends.

If police departments are engaged in using Deepseek, they are not simply leveraging advanced AI tools for crime prevention and anxiety. It also contributes to a wide range of data collection frameworks. By providing the model with information about police tactics, cases, and possibly confidential or protected data, they mistakenly assist in training systems that could be compromised. This can lead to a privacy violation as individuals and classified data may be published or misused.

The model initially produces excellent results, enhances crime prevention and helps criminals arrest, but the long-term impact is troubling. Over time, DeepSeek’s integrity between CCP’s benefits and its sophisticated data analytics capabilities could undermine police security, leading to a greater crisis. If AI begins to drift or evolve in unexpected ways, it can protect the enemy and its criminal activity, making it difficult for law enforcement to recognize and respond to new threats. This possibility of systematic violations underscores the need for strict surveillance, transparency and ethical considerations in the deployment of such powerful AI tools.

Overall, DeepSeek offers notable advances in AI-driven content personalization and predictive analytics, but its implications for privacy, security and ethical use cannot be ignored, especially in the police environment. As Deepseek continues to gain popularity, it is important to implement a robust framework to oversee operations and ensure that its benefits are utilized responsibly. This vigilance approach will help reduce risks and protect users’ rights in an increasingly digital world.

Impact on US police stations

The adoption of AI-driven tools such as Deepseek by US police departments needs to be carefully considered. These technologies offer potential benefits in terms of data analysis and predictive policing, but also present substantial risks. The use of algorithms with potential ties with CCP can undermine the integrity of police operations and put national security at risk.

Furthermore, the reliance on algorithmic decision-making raises ethical concerns. Algorithms can perpetuate bias, lead to discriminatory outcomes, and undermine public trust. Given these risks, US police departments should take caution and thoroughly examine their AI tools before integrating them into their businesses.

Contrast the Supreme Court’s decision on Tiktok

The Supreme Court’s decision to ban Tiktok highlights the broader issues of algorithmic security and the need for strict surveillance. This ruling serves as a precedent for addressing similar concerns on platforms like DeepSeek. It emphasizes the importance of protecting user data and ensuring that algorithms operate transparently and ethically.

The Tiktok ban was a response to certain security threats, but it also highlights the need for a comprehensive approach to regulating AI-driven platforms. Policymakers need to establish a robust framework to oversee algorithmic manipulation, protect user rights, and prevent foreign interference.

Conclusion

The rise of AI-driven platforms like Tiktok and Deepseek brings both opportunities and challenges. While these technologies can improve the user experience and drive innovation, they also pose serious risks, particularly in terms of security and ethical considerations. The Supreme Court’s decision on Tiktok serves as a critical reminder of the need for vigilance and surveillance in the digital age.

Furthermore, the emergence of new AI models tailored to government use, such as Copilot and ChatGpt Gov, which still operate on the Microsoft Azure platform, underscores the importance of active engagement by policymakers. These advanced tools offer potential benefits in terms of automation, decision-making and public service efficiency. However, their deployments also raise important questions about data privacy, algorithm transparency, and possible misuse.

Governments need to closely investigate these technologies and align them with public interest and ethical standards. Future discussions on these models provide an important platform for addressing these concerns and establishing a robust framework for responsible use. As Deepseek continues to gain traction, it is essential to scrutinize its algorithms, ensure transparency and protect against potential abuse. Only through proactive measures can we take advantage of AI while reducing the risk of AI.

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