7 Ways To Build A Lawful, Ethical And Robust AI, According To The EU Commission

Posted by Eyerys on May 7th, 2019

AI systems are only as good as the data we put into them.

Since humans are already biased and, in cases, also racists, we somehow inherit those traits to the AI systems we create.

AI and machine learning technology with deep learning have many advantages. But again, because the data is already flawed, the end product will always be flawed.

Since the advancement of AIs is inevitable, and in order to leverage AI for the better, we need to raise some questions about how we can put an end to these controversies. And to also know how to establish the criteria and standards to weigh the robustness and trustworthiness of AI algorithms that are helping or replacing humans in making important and critical decisions.

In a published document titled “Ethics Guidelines for Trustworthy AI”, the European Commission has laid out seven essential requirements for developing ethical and trustworthy AI.

While the human race is still having a lot to learn about the technology, EC’s guidelines provide some pointers to solve some of these issues.

According to the guidelines, trustworthy AI should be:

1. Lawful - respecting all applicable laws and regulations.
2. Ethical - respecting ethical principles and values.
3. Robust - both from a technical perspective while taking into account its social environment.