Seven principles covering the development and application of artificial intelligence at the BMW Group:
▪ Human agency and oversight: The BMW Group implements appropriate human monitoring of decisions made by AI applications and considers possible ways that humans can overrule algorithmic decisions.
▪ Technical robustness and safety: The BMW Group aims to develop robust AI applications and observes the applicable safety standards designed to decrease the risk of unintended consequences and errors.
▪ Privacy and data governance: The BMW Group extends its state-of-the-art data privacy and data security measures to cover storage and processing in AI applications.
▪ Transparency: The BMW Group aims for explainability of AI applications and open communication where respective technologies are used.
▪ Diversity, non-discrimination and fairness: The BMW Group respects human dignity and therefore sets out to build fair AI applications. This includes preventing non-compliance by AI applications.
▪ Environmental and societal well-being: The BMW Group is committed to developing and using AI applications that promote the well-being of customers, employees and partners. This aligns with the BMW Group’s goals in the areas of human rights and sustainability, which includes climate change and environmental protection.
▪ Accountability: The BMW Group’s AI applications should be implemented so they work responsibly. The BMW Group will identify, assess, report and mitigate risks, in accordance with good corporate governance.