Big Idea > Artificial Intelligence Responsible AI

“RAI is governance, and the management of governance needs to be centralized in order to achieve its intended effectiveness of guidance and oversight. Furthermore, a centralized setup enables standardization, efficiencies of scale and scope, and lower coordination costs. The implementation-operationalization of governance needs to be decentralized and the responsibility of each specific function.”

“It is often the case that different functions within an organization handle different areas of RAI — between engineering, security, product, legal, and so on. This is not only important but necessary. However, it is unhelpful if these functions operate completely independently. That is why having an oversight and governance function is critical — to provide a holistic perspective across these concurrent efforts.”

“Although centralized management of responsible AI can guarantee that all projects follow the same circuit of control, this can quickly become a disadvantage if the project under examination is complex. Moreover, centralized management runs counter to the vision of responsible AI development, which would preferably involve all players in the development chain. This is why, in my opinion, decentralized management makes it possible to distribute the roles of each unit according to their expertise, to ensure not only positive interaction but also the involvement of all.”