The importance of Artificial Intelligence (AI) for mobility is increasing. Due to this, Continental has developed a code of ethics for the usage of self-learning systems, which has made this technology company a pioneer in the industry. The ethics code is corresponding with international regulations such as the EU ethics guidelines for trustworthiness. This is applicable to all Continental locations globally, which serves as a guide for the company’s all collaboration partners.
The novel regulatory framework’s focus depends on data security and the computer-based decisions’ transparency. If the main key steps are taken over by computers, a fundamental prerequisite for acceptance is that understanding of how such a self-learning system functions. What is the source of data? What is the impact of the processing steps? What is the mode of data storage? Internally, an example in HR management is determining whether the work processes that involve Artificial Intelligence work processes comply with other regulations of Continental such as equality-related. Such questions and regulations are mandatory to shape the mobility of the future. A large number of daily functions are unimaginable without AI: the main examples are navigation applications, the Medical sector diagnostic methods, and smartphone voice assistants.
For an entire gamut of products, Continental depends on AI. This is inclusive of gesture recognition, turn to assist systems, camera-based driver assistance systems with object recognition. These systems having AI functions are able to process huge data in almost real-time and provide better results with each bit of novel received information.
Artificial intelligence can and must only be programmed and used in accordance with clear ethical principles,” explains Dirk Abendroth, chief technology officer of Continental Automotive. “Smart algorithms play a huge role in the automotive industry, such as in the case of autonomous driving. As a technology company, we are responsible for ensuring that all our product developments and internal processes are in keeping with ethical standards. This is why AI-based decision-making must always be nondiscriminatory.”
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