  The AI-alignment problem arises when there is a discrepancy between the goals
that a human designer specifies to an AI learner and a potential catastrophic
outcome that does not reflect what the human designer really wants. We argue
that a formalism of AI alignment that does not distinguish between strategic
and agnostic misalignments is not useful, as it deems all technology as
un-safe. We propose a definition of a strategic-AI-alignment and prove that
most machine learning algorithms that are being used in practice today do not
suffer from the strategic-AI-alignment problem. However, without being careful,
today's technology might lead to strategic misalignment.
