子どものプライバシーと安全

Do Not Give a Child an AI Friend: The Red Flags and What to Do Instead

A plain stance and seven concrete red flags — anthropomorphism, secrecy, dependency, sexual content, monetization, memory, and exit friction — for why AI companion apps are not appropriate for children, plus a calm way to raise it.

Is This AI Product Safe for My Child's Data? A Privacy Checklist

A seven-point checklist — age rules, collection, retention, training use, sharing, controls, and deletion — for deciding whether an AI product gets allow, allow-with-controls, or do-not-use for your child.

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Do Not Paste Bank Statements Into AI

Account numbers, balances, counterparties, and payroll lines are paste bans for consumer AI. How to get literacy help from a model using typed, redacted fields - without uploading full statements, screenshots, or PDF exports.

Home Photos and Floorplans: Privacy Before You Upload

Uploading interiors and floorplans to consumer AI can leak layout, valuables, kids' rooms, and security cues. A privacy-first checklist for what to redact, what to keep offline, and how to still get planning help without broadcasting your house.

5 分の読書

Solo AI Rules for Client Work

Before you put a client's brief, draft, or data near a consumer AI tool, write a one-page personal policy card: what you will never paste, what needs client consent, what you still price and scope yourself, and when you escalate to a human specialist. Freelancers do not inherit an employer AI policy - you need your own.

Coordinating an Ageing Parent's Care Without Losing Their Voice

When siblings start coordinating a parent's care, information sprawls across group chats, and the person it's about gets talked over. A consent-aware record — what to share, with whom, and a strict line between emergency and administrative information — keeps the coordination practical and keeps your parent's voice in the decisions.

AI Literacy by Age: What to Expect From a 6-Year-Old to a 16-Year-Old

An age-band matrix — around 6, 10, 13, and 16 — for what a child can understand about AI, how much supervision they need, and where the real product age limits are, without pretending any age is a fixed cutoff.

AI and Loneliness: Useful Contact Is Not Mutual Relationship

A chatbot is available at 3 a.m., never bored of you, and always responsive. That is real accessibility for some people and a real risk of displacement for others - and it is never mutual relationship, memory, or care. A benefit/risk/displacement table and a weekly connection plan draw the line without shaming anyone for using it.

A Caregiving Handoff That Preserves Dignity and Context

When care shifts between family members, shifts, or a new paid caregiver, what usually transfers is a list of tasks and a rushed verbal summary. A handoff template carries the cared-for person's own preferences forward too - without AI turning them into behavioural labels.

9 分の読書

If a Child Is the Target of an AI Deepfake: A First-Response Plan

What to do in the first hours if a child has been targeted by an AI-generated image or video: preserve evidence the right way, reduce spread, involve the child, and notify the platform, school, or authorities — without ever downloading or forwarding illegal content.

A Child's First AI Conversation: A Facilitator's Script

A step-by-step script for a child's first supervised AI conversation, built around a false-answer test, a source check, a privacy pause, and a closing reflection — run on a caregiver-controlled account.

Your Child and AI: Watch the Relationship, Not Just the Clock

Minutes-per-day is the wrong first question for a child's AI use. An observation guide across activity, attachment, displacement, secrecy, and recovery gives a clearer picture — without diagnosing addiction from a chat.

Chronic-Condition Administration: Build a Care Calendar, Not a Treatment Plan

Managing a chronic condition, your own or a family member's, is mostly logistics: appointments, refills, forms, transport, and follow-ups, each with an owner and a deadline. A care-operations board handles that coordination - and stops firmly at the edge of anything clinical.

If There Is an AI Deepfake of You: An Adult First-Response Plan

Finding an AI-generated image or video of yourself that you never made or agreed to is disorienting. This is a first-response sequence for adults: preserve evidence safely, use the reporting tools built for this, and know when law enforcement and legal counsel belong in the picture.

Write a Family AI Agreement Your Kids Actually Helped Write

A seven-clause household AI agreement — accounts, private data, schoolwork, companions, creation, purchases, and help-seeking — built with the child in the room, not handed to them finished.

Archiving Family Photos and Stories Without Inventing History

AI makes it fast to caption, transcribe, and organize decades of family photos and recordings — and just as fast to quietly invent a date, a name, or a detail nobody actually confirmed. A metadata schema for consent, provenance, and uncertainty keeps the archive honest, restricts children's images by default, and keeps them out of unreviewed AI tools.

9 分の読書

A personal knowledge system that helps you retrieve, not hoard

Highlights, clippings, and AI summaries pile up without making you smarter. A small capture-to-retrieval system built around three real decisions — plus what to do about sensitive notes, other people's data, and the false privacy of a personal account.

Get Consent Before You AI-Edit or Share Someone's Photo

Uploading a friend's photo to an AI tool to remove a background, swap a smile, or turn it into an illustration feels like a small, personal edit. For the person in the photo, it can be a much bigger decision they never got to make.

Finding Subscription Drift Without Exposing Your Bank History

Review a locally redacted transaction export for recurring charges and drift, without ever connecting an AI tool to your bank account. A confidence-flagged merchant list, and a cancellation checklist a human actually executes.

Synthetic Media: Check Provenance and Consent Before You Post

Before an AI-generated or AI-edited image or video of a real person goes anywhere public, two separate questions need a yes: did the person consent, and is the synthetic origin disclosed. A practical checklist for both.

Understand a Medical Document Without Turning It Into Medical Advice

A discharge note or test report arrives full of clinical shorthand you were never taught to read. A four-column method - exact text, plain paraphrase, uncertainty, clinician question - lets AI translate the language without ever telling you what your results mean.

Voice-cloning fraud: the SME controls that actually work

Three procedural controls that protect SME payments and sensitive changes when a caller or video participant can convincingly imitate a director, colleague, or supplier.

Proving what is real: provenance, watermarking, and Content Credentials

What C2PA Content Credentials and watermarks can actually prove, what disappears after screenshots and re-uploads, and how an SME can publish media with an honest provenance policy.

10 分の読書

社内ナレッジRAG：権限、漏えい、情報源の境界

社内ナレッジアシスタントの安全性は、検索が権限を尊重する場合にのみ確保されます。RAGの情報源の境界、ACLフィルタリング、文書のオーナーシップ、ログ記録、古い情報源の処理、回答拒否の挙動を設計する方法を説明します。

上級者

9 分の読書

中小企業向けEU AI Act：実践的なガバナンス計画

EU AI Actは、大手事業者だけの法的問題ではありません。インベントリ、リスク分類、人間による監督、透明性、ベンダー記録、規律ある導入を含む、中小企業向けの実践的な計画です。

上級者

10 分の読書

AIをメール、カレンダー、CRMに安全に接続する

AIをメール、カレンダー、CRMといった実際のツールに接続することは、生産性を飛躍させる一方で、リスクも生みます。2026年に機能する連携、安全なパターン、越えてはならない一線を解説する実践ガイドです。

10 分の読書

Macで動かすローカルAI：Ollama、LM Studio、そして7Bモデルで本当にできること

ローカルでのAI実行は成熟しました。OllamaまたはLM Studioと最新のMacがあれば、高性能なモデルをオフラインで、無料かつプライベートに実行できます。何ができ、何ができないのか、そして実際に恩恵を受けるユースケースを解説します。

プライバシー入門：ChatGPTが記憶し、参照し、共有するもの

AIアシスタントが実際にデータをどう扱うのかを率直に解説します。何が保存され、何が学習に使われ、プライバシー設定が本当は何を意味するのか、そして今日変更すべき3つの項目を説明します。

職場でAIを使う際のプライバシーとデータ衛生

顧客データを誤って漏えいさせたり、会社の方針に違反したり、GDPRに抵触したりせずに、職場でAIを使うための実践的なガイドです。守るべき境界、ツール、身につけるべき習慣を解説します。

AIとの画像共有：アップロードできるもの、すべきでないもの

現代のAIは、写真、グラフ、スクリーンショット、手書き文字をテキストとほぼ同じように読み取れます。得意なこと、苦手なこと、アップロード前に行う30秒のプライバシーチェックを解説する実践的なガイドです。