The dangers of Natural Intelligence (NI) are still largely speculative as this term is not widely used or well-defined in the field of AI. However, if by "Natural Intelligence" you mean the development of AI systems that resemble human-like intelligence, then there are several potential dangers that need to be considered and addressed. These include:

Bias and Discrimination: AI systems that are trained on biased data can perpetuate and amplify those biases in their outputs, leading to discriminatory outcomes.

Job Loss: As AI systems become more advanced and capable, they could displace large numbers of workers, leading to job loss and unemployment.

Lack of accountability: It can be difficult to determine who is responsible when AI systems cause harm, as the systems themselves are not deliberate actors and their behavior is the result of complex algorithms and data inputs.

Security and Privacy: AI systems can be vulnerable to hacking, and the use of AI can also raise privacy concerns as large amounts of personal data are often collected and used to train AI models.

Control and Regulation: There is a risk that AI systems could be used for malicious purposes, such as in autonomous weapons, and there is currently no clear international framework for controlling and regulating the development and use of AI.

It's important to note that these potential dangers can also be mitigated by careful development, testing, and deployment of AI systems, as well as through responsible regulation and oversight.