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The challenges of using AI in critical systems

The challenges of using AI in critical systems

Author: Thales Group | Source: Thales Group | Read the full article

Artificial intelligence (AI) is becoming increasingly important in managing critical systems and infrastructure. As we approach the AI Action Summit in Paris, Thales has released a position paper discussing the role of AI in these vital areas. The paper emphasizes the need to balance AI's capabilities with human oversight to ensure safety and security.

In critical systems, AI can assist human operators by analyzing large amounts of data quickly, which helps in making informed decisions. However, it is crucial that humans remain central to the decision-making process. The article highlights the importance of understanding AI's suggestions in real-time, especially in high-stakes environments like aviation, where pilots must grasp the reasoning behind AI recommendations swiftly.

Moreover, the integration of AI into critical systems presents challenges, particularly regarding security. Thales is committed to ensuring that their AI systems are resilient against cyber threats. They employ ethical hackers to identify vulnerabilities, ensuring that the AI used in critical environments is both effective and trustworthy.

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