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Continental develops ethical rules for AI systems

Continental develops ethical rules for AI systems

Feature articles |
By Christoph Hammerschmidt



Artificial intelligence (AI) is becoming increasingly important for mobility. For this reason, Continental has now developed an ethical guideline for dealing with self-learning systems. “The programming and application of artificial intelligence can and may only take place according to clear ethical principles,” explains Dirk Abendroth, Chief Technology Officer Automotive at Continental. “Intelligent algorithms play a major role in the automotive industry, for example in autonomous driving. As a technology company, we are responsible for ensuring that all our product developments as well as internal processes comply with ethical standards. Thus, AI systems must always draw their conclusions in the spirit of equality.” The “Code of Ethics” corresponds to international rules, such as the EU guidelines for handling AI (“Ethics Guideline for Trustworthy AI”). It applies to all Continental locations worldwide and serves as an orientation for all cooperation partners of the company.

The new rules focus on the traceability of computer-based decisions and data security. If important work steps are taken over by computers, a basic prerequisite for acceptance is that people continue to be able to understand the growing “inner workings” of a self-learning system. Where does the data come from? Which calculation steps lead to which actions? How is the data secured?


In internal processes, for example in human resources: Are work processes involving the use of artificial intelligence in harmony with other Continental regulations, such as those on equality? Such questions – and thus rules – are essential for shaping the mobility of the future. For example, more and more functions in everyday life are hardly conceivable in this quality without AI today: voice assistants in smartphones, many diagnostics in the medical field, navigation applications. Continental relies on artificial intelligence for a wide variety of products. These include camera-based driver assistance systems with object recognition, cornering assistants and gesture recognition as a means of communication between man and vehicle. Such systems with AI functions are capable of processing huge amounts of data in almost real time and delivering better results with every new piece of information.

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