Creating a safe AI is not that different than raising a decent human. … We can apply some important lessons we teach to young humans to how we govern AI:
- Keep an open mind
- Be fair
- Be kind
Like human brains, machine-learning algorithms assess how to act based on past experiences: They create decision pathways based on the data they have seen. If the data they’re exposed to is limited, their understanding of the real-time information they process will be, too.
Our ability to trust is underpinned by fairness. It is so essential that children as young as four will detect and react to unfairness. But in order to verify fairness, one must have access to the decisions that are being made. … The answer was produced in what’s referred to as a “black box”: an electronic system completely closed to analysis or inspection. This dismissive “because I said so” approach does not build a sense of fairness or trust in either AI or children. … AI needs to not only produce, but also explain the answer it creates.
Understanding the process of decision-making is necessary but not alone sufficient—sometimes we need to improve the rules that we follow in the first place. This requires two key traits: empathy and imagination. … AI needs to learn the same skills.
We need a super-Turing test that reflects humanity as we want it to be when it grows up: not just human, but one that is kind, fair, and has an open mind.