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