What happens if AI alignment goes wrong, explained by Gilfoyle of Silicon valley.

The AI alignment problem.

The alignment problem in AI refers to the challenge of designing AI systems with objectives, values, and actions that closely align with human intentions and ethical considerations.

One of AI’s main alignment challenges is its black box nature (inputs and outputs are identifiable but the transformation process in between is undetermined). The lack of transparency makes it difficult to know where the system is going right and where it is going wrong.

Aligning AI involves two main challenges: carefully specifying the purpose of the system (outer alignment) and ensuring that the system adopts the specification robustly (inner alignment).

I think the following video from the Silicon Valley series, explains perfectly what can happen in case we do not succeed in alignment.

#ai #alignment #siliconvalley #aiethics

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