The author further stresses that AI alignment is not a technology problem but a people problem. It requires the involvement of business leaders to express what they want the product to do. The article concludes by warning that if we fail to capture human preferences effectively, we may face disappointment in the AI sector in the coming years. Therefore, it is in our collective interest to get AI alignment right, which will lead to the creation of better products and benefit humanity as a whole.
Key takeaways:
- AI alignment is a field of AI safety research that aims to ensure artificial intelligence systems achieve desired outcomes and work for humans, no matter how powerful the technology becomes.
- Business leaders need to be involved in AI and machine learning as these are increasingly data-driven fields. AI needs to learn the language of human preferences to function properly.
- AI alignment is not a technology problem, but a people problem. The ability of the AI system to learn the right kind of rules comes down to the ability of the product developer or service provider to express what they want the product to do.
- Business and technology leaders need to collaborate closely on alignment to create better products and benefit humanity as a whole.