Furthermore, while this paper is focused on the specific challenges surrounding AI, the strong interdependence between its development and the expansion of the Internet of Things (IoT) demands a closer look at interoperability and security of IoT devices.

They need to consider their collective responsibility in building AI systems that will not pose security risks to the Internet and Internet users.

Provide the public with information: While full transparency around a service’s machine learning techniques and training data is generally not advisable due to the security risk, the public should be provided with enough information to make it possible for people to question its outcomes.

High standards of device, system and network security should be applied.

Responsible disclosure: security researchers acting in good faith should be able to responsibly test the security of AI systems without fear of prosecution or other legal action.

Responsible disclosure: security researchers acting in good faith should be able to responsibly test the security of AI systems without fear of prosecution or other legal action.

At the same time, researchers and others who discover security vulnerabilities or other design flaws should responsibly disclose their findings to those who are in the best position to fix the problem.