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The field concerned with ensuring AI systems behave as intended and do not cause unintended harm. AI safety spans two distinct concerns: near-term safety (preventing current AI systems from making errors, being misused, or causing harm in deployment) and long-term safety (preventing advanced AI systems from developing goals misaligned with human values). For small teams, near-term AI safety is the relevant concern: testing outputs before deployment, implementing human review for high-stakes decisions, maintaining incident logs, and updating systems when problems emerge.
Why this matters for your team
For small teams, AI safety means near-term operational safety: testing outputs before deployment, requiring human review for high-stakes decisions, and maintaining an incident log. The advanced safety questions about superintelligence are real but not your immediate operational concern.