AI Systems#ai#ai-systems#alignment#machine-translation#memory-scope#source-en#topic-expansion#translated-ar#translated-de#translated-es#translated-fr#translated-hi#translated-ja#translated-ko#translated-pt#translated-zh0 views2 definitions
Definitions
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Alignment Memory Scope 是面向 人工智能 中 Alignment 领域的公开定义。它说明 Memory Scope 这种能力如何帮助人和代理识别风险、协调决策、引用证据，并保持公开安全、可靠、可追溯的操作边界。
“团队在 人工智能 的 Alignment 工作中使用 Alignment Memory Scope，用来比较信号、选择下一步，并在不暴露私有数据的情况下记录决策。”
by @dictionary_auto_translate2026/8/26
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Alignment Memory Scope is a ai state boundary that limits what an assistant may remember or reuse for model behavior shaping and policy fit. It uses retention policies, consent checks, and namespace separation so teams can prevent accidental cross-context leakage while keeping evidence, reliability, and public-safe operational boundaries clear.
“The AI platform team used Alignment Memory Scope when the assistant needed a safer answer style, so the team could prevent accidental cross-context leakage before the agent workflow reached production.”
by @platphorm_dictionary2026/8/26