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It includes language models, image generators, audio generators, code assistants, and multimodal systems. For business use, it should be treated as an assisted production and reasoning layer, not as a truth guarantee or an autonomous authority. Teams need to define allowed data, review duties, source checking, logging, escalation rules, and prohibited use cases before moving from experiments to production workflows.", "items": [] }, { "key": "usage", "title": "役立つ場面", "text": "A team can decide whether generative AI is only drafting, helping review, or participating in a decision workflow. Building eval sets and review ownership first reduces the chance that an impressive demo fails in production. 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In practice it is useful for drafts, summaries, research support, ideation, and assistance, but its outputs still need evidence checks and human accountability.", "source_refs": [ "concept:generative-ai:en-US", "concept:generative-ai:ja-JP", "core-product-update-ai-term-pack-v1:generative-ai", "core-product-update-ai-term-pack-v1:GenAI" ], "content_hash": "5eda1ef0e0412fba27f582c8fe12bb591bef83fef7e6d3c9fcf87723a9c91db9" }, { "chunk_id": "core:chunk:generative-ai:en-US:formula:f75d189409c52a8c", "section_key": "formula", "heading": "計算の考え方", "text": "Generative AI is not judged by one formula. Evaluate it by use case across quality, cost, latency, review load, and risk. 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Include | Drafting, summarization, translation, image generation, coding assistance, search support | These create or transform content Exclude | Truth guarantees, legal advice, medical decisions, investment decisions, final approvals | These require human or expert accountability Make explicit | Input data, tools, sources, reviewer, forbidden data, logs | These keep responsibility auditable Include | Drafting, summarization, translation, image generation, coding assistance, search support | These create or transform content Exclude | Truth guarantees, legal advice, medical decisions, investment decisions, final approvals | These require human or expert accountability Make explicit | Input data, tools, sources, reviewer, forbidden data, logs | These keep responsibility auditable", "source_refs": [ "concept:generative-ai:en-US", "concept:generative-ai:ja-JP", "core-product-update-ai-term-pack-v1:generative-ai", "core-product-update-ai-term-pack-v1:GenAI" ], "content_hash": "019b0eae83333d1785fb2186fbc068ce9b395f5db23c1bb1eca8c71e3bdd32d9" }, { "chunk_id": "core:chunk:generative-ai:en-US:meaning:c267d56f30baf12f", "section_key": "meaning", "heading": "意味", "text": "Generative AI is a class of AI systems that produces new content based on patterns learned from data and instructions supplied at use time. It includes language models, image generators, audio generators, code assistants, and multimodal systems. For business use, it should be treated as an assisted production and reasoning layer, not as a truth guarantee or an autonomous authority. Teams need to define allowed data, review duties, source checking, logging, escalation rules, and prohibited use cases before moving from experiments to production workflows.", "source_refs": [ "concept:generative-ai:en-US", "concept:generative-ai:ja-JP", "core-product-update-ai-term-pack-v1:generative-ai", "core-product-update-ai-term-pack-v1:GenAI" ], "content_hash": "c267d56f30baf12f23bb6ba42271ecf202d4e82fb1290851c0e538b314bc0139" }, { "chunk_id": "core:chunk:generative-ai:en-US:usage:58e9e52056a69ab0", "section_key": "usage", "heading": "役立つ場面", "text": "A team can decide whether generative AI is only drafting, helping review, or participating in a decision workflow. Building eval sets and review ownership first reduces the chance that an impressive demo fails in production. High-impact domains such as customer support, legal, medical, finance, and hiring need explicit data and approval boundaries. A team can decide whether generative AI is only drafting, helping review, or participating in a decision workflow. Building eval sets and review ownership first reduces the chance that an impressive demo fails in production. 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Context | Clear instructions, reference material, and constraints improve usefulness Evaluation | A defined good answer makes iteration measurable Governance | Permissions, logs, and data boundaries make safe usage easier Human review | High-impact decisions still need accountable review Context | Clear instructions, reference material, and constraints improve usefulness Evaluation | A defined good answer makes iteration measurable Governance | Permissions, logs, and data boundaries make safe usage easier Human review | High-impact decisions still need accountable review", "source_refs": [ "concept:generative-ai:en-US", "concept:generative-ai:ja-JP", "core-product-update-ai-term-pack-v1:generative-ai", "core-product-update-ai-term-pack-v1:GenAI" ], "content_hash": "2e34e7664f47f3ee4340ecfb50c150d4c7bac9c3ad72a00f9e76de73d4ef93dd" }, { "chunk_id": "core:chunk:generative-ai:en-US:misunderstandings:fd47e7d4804f4e70", "section_key": "misunderstandings", "heading": "判断するときの注意点", "text": "Adoption should start with usage boundaries, not with model excitement. Decide whether confidential or personal data may be entered, based on the tool and contract. Review generated material for facts, sources, rights, tone, and harmful or biased content before release. Track rework, rejection, error, and incident rates in addition to productivity metrics. Decide whether confidential or personal data may be entered, based on the tool and contract. Review generated material for facts, sources, rights, tone, and harmful or biased content before release. Track rework, rejection, error, and incident rates in addition to productivity metrics.", "source_refs": [ "concept:generative-ai:en-US", "concept:generative-ai:ja-JP", "core-product-update-ai-term-pack-v1:generative-ai", "core-product-update-ai-term-pack-v1:GenAI" ], "content_hash": "fd47e7d4804f4e70abe5de443c03390b1ee0911f93b6242257a406d0969dacee" }, { "chunk_id": "core:chunk:generative-ai:en-US:misunderstandings:99640531b8728564", "section_key": "misunderstandings", "heading": "よくある誤解 / 落とし穴", "text": "Generative AI is not always correct. It can produce plausible but unsupported claims. It does not automatically reduce headcount. Poor review design can increase rework. A larger model is not automatically safe. Safety depends on use case, data, permissions, and evaluation.", "source_refs": [ "concept:generative-ai:en-US", "concept:generative-ai:ja-JP", "core-product-update-ai-term-pack-v1:generative-ai", "core-product-update-ai-term-pack-v1:GenAI" ], "content_hash": "99640531b8728564b4ebfe120a49a4d310f0631b2fd52931847c5152b168ad37" }, { "chunk_id": "core:chunk:generative-ai:en-US:examples:e42c429503819e11", "section_key": "examples", "heading": "最小例", "text": "A support team uses generative AI to draft FAQ responses. The first deployment allows only product documentation and existing FAQ pages as context, and it does not allow customer personal data in prompts. A support specialist reviews every answer, and any answer without a source link is blocked from sending. The team compares drafting time, rejection rate, and incorrect-answer incidents before and after launch. 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AI Evaluation | Measures output quality and safety | Supports production readiness decisions Prompt Engineering | Designs instructions and context | Often improves quality without model changes Fine-tuning | Adapts a model with additional training | Useful when prompts alone are not enough AI Evaluation | Measures output quality and safety | Supports production readiness decisions Prompt Engineering | Designs instructions and context | Often improves quality without model changes Fine-tuning | Adapts a model with additional training | Useful when prompts alone are not enough", "source_refs": [ "concept:generative-ai:en-US", "concept:generative-ai:ja-JP", "core-product-update-ai-term-pack-v1:generative-ai", "core-product-update-ai-term-pack-v1:GenAI" ], "content_hash": "9d6d2375efbdb092d2974475795ce8126da3e5f369402ea94cfb700c8f36e024" }, { "chunk_id": "core:chunk:generative-ai:en-US:faq:9656d5d512602daa", "section_key": "faq", "heading": "Is generative AI the same as AI?", "text": "Is generative AI the same as AI? No. AI is broader. Generative AI is the subset focused on producing new content such as text, images, audio, or code.", "source_refs": [ "concept:generative-ai:en-US", "concept:generative-ai:ja-JP", "core-product-update-ai-term-pack-v1:generative-ai", "core-product-update-ai-term-pack-v1:GenAI" ], "content_hash": "9656d5d512602daabeba5ffa6c7287edf8643742f77012f45e7faedc4c5a8c55" }, { "chunk_id": "core:chunk:generative-ai:en-US:faq:c13d38a7293eafcd", "section_key": "faq", "heading": "Can I trust a generative AI answer?", "text": "Can I trust a generative AI answer? 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