Artificial Intelligence (AI) regulation is evolving globally

The landscape of artificial intelligence (AI) regulation is evolving globally, with various jurisdictions implementing bans on certain AI practices to address ethical, privacy, and security concerns. Here are key takeaways from recent developments, along with practical applications and examples:

1. European Union's AI Act:

The European Union (EU) has enacted the AI Act, a comprehensive regulatory framework that classifies AI systems based on risk levels and imposes corresponding restrictions. As of February 2, 2025, the EU has banned AI systems deemed to pose "unacceptable risk." Specific prohibitions include:

• Manipulative or Deceptive AI Systems: AI systems that employ subliminal techniques to manipulate users' behavior or decisions are prohibited. For example, an AI application designed to exploit cognitive biases to influence purchasing decisions without users' awareness would be banned.

• Predictive Policing Based on Profiling: AI systems that predict criminal behavior solely based on profiling or assessment of personality traits and characteristics are banned. This addresses concerns about discrimination and violation of individual rights.

• Biometric Categorization: Systems that categorize individuals based on biometric data (such as facial images and fingerprints) to infer sensitive attributes like race, political views, or sexual orientation are prohibited, protecting privacy and preventing potential misuse.

Practical Application: Organizations operating within the EU must audit their AI systems to ensure compliance with these prohibitions. For instance, a company using AI for employee monitoring must avoid implementing emotion recognition technologies that could infringe on workers' privacy.

2. Bans on Chinese AI Company DeepSeek:

Several countries have imposed bans on the use of AI technologies developed by the Chinese company DeepSeek, citing national security and data privacy concerns. Notable examples include:

• Italy: The Italian Data Protection Authority investigated DeepSeek's data handling practices, leading to the removal of its apps from local app stores.

• United States: Multiple U.S. federal agencies, including the Pentagon and NASA, have restricted the use of DeepSeek's AI applications due to potential security risks.

• Australia: The Australian government announced plans to ban DeepSeek from all government systems and devices, aligning with similar measures taken against other foreign technologies over security concerns.

Practical Application: Government agencies and organizations handling sensitive information should conduct thorough assessments of AI vendors' data practices and origins. Implementing stringent procurement policies can mitigate risks associated with foreign AI technologies.

3. China's AI Content Regulations:

China has implemented regulations requiring AI-generated content to align with the Chinese Communist Party's (CCP) ideology, including adherence to "Core Socialist Values." Companies must ensure that AI platforms do not produce content that could incite subversion or contradict state policies.

Practical Application: Organizations developing AI systems in China must integrate content filtering mechanisms to comply with state guidelines. For example, an AI chatbot operating in China would need to restrict discussions on topics deemed sensitive by the government.

4. Calls for Broader Bans on Harmful AI Technologies:

Advocacy groups like Amnesty International have urged the EU to expand the AI Act to ban additional AI-powered technologies that could harm human rights. These include real-time facial recognition systems used in public surveillance, which could lead to mass surveillance and erosion of privacy.

Practical Application: Policymakers should consider the ethical implications of AI deployments, especially those affecting civil liberties. Engaging with civil society organizations can provide valuable insights into potential human rights impacts.

5. Divergent Approaches to AI Regulation:

While the EU has adopted a comprehensive regulatory framework, other regions, such as the United States, are taking a more fragmented approach, with state-level regulations addressing specific aspects of AI use.

Practical Application: Companies operating across multiple jurisdictions must stay informed about varying regulatory requirements and implement adaptable compliance strategies to navigate this complex landscape.

In summary, the global trend toward regulating AI reflects growing concerns about ethical, privacy, and security issues. Organizations must proactively assess and align their AI practices with emerging regulations to ensure compliance and uphold public trust.