SUFFICIENT SPECIFICATION OF AN AI FUNCTION EXAMPLE OF PEDESTRIAN PROTECTION

Abstract

Transparency and explainability are essential factors in the development of safe AI models for pedestrian protection. This not only enables improved acceptance, but also promotes user confidence in the preventative capabilities of these systems.

The integration of sensors, machine learning and advanced algorithms enables precise analysis of pedestrian behavior and environmental factors. Real-time processing plays a crucial role in responding quickly to changing situations.

In addition to technology development, this analysis emphasizes the need for strict security measures to minimize potential risks and security vulnerabilities. This includes security protocols for data storage, model protection and access to AI systems.

Compliance with legal and ethical guidelines is another important aspect. Regulatory requirements and ethical standards are intended to ensure that AI technologies in the automotive sector are not only used safely, but also in accordance with social values ​​and norms.