Which area should typically receive more resources for AI related tasks due to higher risks?

In the context of AI governance, areas that involve significant risks often require heightened scrutiny and resources to ensure safety, compliance, and ethical considerations. Aviation and transportation stand out as fields that inherently carry higher risks due to the potential consequences of failures or errors in AI systems.

In these sectors, AI can be involved in critical operations such as flight control systems, autonomous vehicles, accident prevention, and regulatory compliance. A malfunction or oversight in AI applications within this domain could lead to serious safety incidents, including loss of life, making it imperative to allocate more resources for rigorous testing, monitoring, and risk assessment.

Conversely, while marketing and advertising, human resources, and financial analysis can involve risks, they generally do not pose the same immediate and severe consequences associated with failures in aviation and transportation. In those areas, the focus may be on efficiency and effectiveness rather than safety, making the resource allocation comparatively lower in relation to risk management.