シャドーイング練習: What is AI governance? - 動画で英語スピーキングを学ぶ
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Hello, my name is Kush Varshney.
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I'm a distinguished research scientist and senior manager at IBM Research.
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I'm here to answer three questions about AI governance.
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Governance is an interesting word.
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It means control.
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And if we think back in history, steam engines had this part called the governor and it regulated the flow of steam
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and it was there to make sure that the system remains safe.
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And when we say AI governance, it's the set of practices to keep an AI system under control so that it remains safe as well.
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So it includes things like respecting regulations, curating data, and creating fact sheets that explain how the system works.
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Some of the risks posed by generative AI and LLMs are actually the same as traditional machine learning.
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So things like fairness, transparency, robustness to attacks, they're all still concerns.
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But then there's some new ones as well.
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So new risks that are emerging with generative AI include things like toxicity, harmful behaviors, bullying, these sort of things.
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And then there's also hallucination.
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So where the model is putting out things which kind of sound like they would make sense, they're plausible, but they're actually factually incorrect.
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And we've created a taxonomy of common harms that can mitigate these behaviors with data curation, with fine tuning, prompt tuning, prompt engineering.
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So all of that is really the way to address them.
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But this is just a starting point.
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So if we start and think for a second,
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governments, enterprises, all sorts of other organizations will have additional constraints to build into their LLMs so that they follow applicable laws,
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industry standards, social norms, and so on.
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And understanding the models is also quite different
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because we no longer need to know exactly how the models make their decisions and predictions and predictions.
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This is what we used to call explainability, but now instead what we need to be able to do
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is trace an LLM's generative output to the user's prompt or to its training data.
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So source attribution is the new explainability.
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Safety guarantees with generative AI are very difficult because there's no one-size-fits-all approach.
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Every organization needs to define their own values, their own behaviors that they find acceptable and unacceptable.
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For example, once you know the context of your chatbot's deployment, you can start to reason through the relevant risks.
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This could involve taking existing policy documents like laws,
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corporate policies, or other rules and using them as instruction data to teach the model how to behave.
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And interventions must also be scalable because we're dealing with such large models and even larger data sets.
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And at IBM we're designing tools to address the unique threats posed by large language models and other content generating foundation models.
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We're also devising new methods to limit chatbots from leaking personal or proprietary data and hallucinating wrong or irrelevant information.
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この動画が話す練習に最適な理由
AIガバナンスについての説明は、IELTS スピーキング対策にも役立つ実用的な内容です。専門用語が適度に含まれつつも、日常的な説明スタイルが多いため、自然な英語のリズムを掴みやすいです。また、文の構造が明確で、論理的に展開されているので、英語シャドーイングの素材として最適です。
自然な表現を分解してみる
- 「Governance is an interesting word. It means control.」：単純な2文のつながりで、意味が明確に伝わります。「interesting」を使うことで、聞き手の注意を引きながら、平易に説明する英語の典型的なパターンです。
- 「So it includes things like respecting regulations, curating data, and creating fact sheets that explain how the system works.」：「like」で例を挙げ、「and」で並べることで、情報が整理されて伝わります。「curating data」のような専門用語も、文脈から意味が推測できるように配置されています。
- 「But then there's some new ones as well.」：「but」で転換し、「as well」で追加情報を示す。会話的な語調が自然で、話し言葉のリズムを感じられます。
効果的なシャドーイング練習法
shadowing siteやshadowspeak、shadowspeaksなどのツールを使いながら、以下のループを繰り返しましょう。1. 動画を1文ずつ再生し、すぐにそのまま繰り返して録音する。2. 自分の録音を聞き、アクセントやイントネーション、ポーズの違いを確認する。3. 同じ文を3回繰り返し、自然な発音に近づける。特に、「hallucination」「taxonomy」などの難しい単語は、ゆっくり発音して慣れましょう。この練習を毎日10分続けると、スピーキングの流暢さが向上します。
シャドーイングとは？英語上達に効果的な理由
シャドーイング（Shadowing）は、もともとプロの通訳者養成プログラムで開発された言語学習法で、多言語習得者として知られるDr. Alexander Arguelles によって広く普及されました。方法はシンプルですが非常に効果的：ネイティブスピーカーの英語を聞きながら、1〜2秒の遅延で声に出してすぐに繰り返す——まるで「影（shadow）」のように話者を追いかけます。文法ドリルや受動的なリスニングと異なり、シャドーイングは脳と口の筋肉が同時にリアルタイムで英語を処理・再現することを強制します。研究により、発音精度、抑揚、リズム、連音、リスニング力、そして会話の流暢さが大幅に向上することが確認されています。IELTSスピーキング対策や自然な英語コミュニケーションを目指す方に特におすすめです。