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Rudi kwa BlogGDPR & Ufuatiliaji

FTC Marekani: Utekelezaji wa Faragha ya AI chini ya Kifungu 5

FTC ilitoa hatua 19 za utekelezaji wa AI mwaka 2024. Faini ya dola milioni 875 kwa Amazon Alexa. Sheria 25 za faragha za serikali zinaendelea. Usanifu wa zero-knowledge unashughulikia moja kwa moja malengo ya FTC.

June 5, 20269 dakika kusoma
FTC enforcementUS privacy lawAI privacy complianceSection 5state privacy laws

FTC Kifungu 5: Faragha ya AI nchini Marekani

Imesasishwa kwa 2026.

Tume ya Biashara ya Shirikisho (FTC) inatekeleza sheria ya faragha ya Marekani kupitia Kifungu 5 cha Sheria ya FTC. Kifungu hicho kinakataza "mazoea yasiyofaa au ya udanganyifu." Hakuna sheria moja ya shirikisho ya faragha kama GDPR nchini Marekani. Hata hivyo, shirika liliweka rekodi mpya mwaka 2024.

2024: Mwaka wa Utekelezaji wa Rekodi

Tume ilitoa hatua 19 zinazohusiana na AI mwaka 2024. Hilo linashinda miaka mitatu iliyotangulia kwa pamoja. Ongeza sheria 25 za faragha za majimbo ya Marekani juu. Pamoja, zinaunda mzigo mgumu kwa kampuni yoyote nchini Marekani.

Kesi muhimu za 2024:

Amazon Alexa (dola milioni 25, 2023/inaendelea): Amazon ilipa dola milioni 25 kwa ukiukaji wa COPPA. Ilikuwa imehifadhi faili za sauti za watoto zaidi ya mipaka iliyotangazwa. Shirika lilisema Amazon ilitumia faili hizo kufunza AI bila idhini inayofaa. Amazon iliamriwa kufuta faili zilizohifadhiwa.

Marufuku ya Meta kwa matumizi ya matangazo kwa vijana: Wasimamizi wa shirikisho walizuia Meta kutumia rekodi za watumiaji chini ya umri wa miaka 18 kwa matangazo. Hii ilijenga juu ya amri ya idhini iliyopo.

Hatua dhidi ya madalali wa data wa AI: Shirika lilichukua hatua dhidi ya madalali kadhaa. Madalali hao waliuza wasifu wa kibinafsi ulioundwa na AI bila taarifa au idhini inayofaa. Kesi zilianzisha kanuni muhimu: utengenezaji wa wasifu wa AI wa rekodi za kibinafsi ni usindikaji "nyeti". Lebo hiyo inachochea wajibu wa ziada wa taarifa.

Kesi za rekodi za afya: Tume ina mamlaka juu ya rekodi za afya ambazo HIPAA haizishughulikii. Programu za watumiaji, vifaa vinavyoweza kuvaliwa, na makampuni fulani ya telehealth yako hapa. Kesi kadhaa za 2024 ziliathiri makampuni yaliyoshiriki rekodi hizo bila idhini inayofaa.

Sheria 25 za Majimbo: Mseto wa Marekani

Hakuna sheria moja ya shirikisho inayoshughulikia wakazi wote wa Marekani. Badala yake, sheria 25 za majimbo kwa pamoja zinashughulikia sehemu kubwa ya nchi.

California CPRA (kutoka 2023): Sheria pana zaidi ya jimbo la Marekani. Inashughulikia wakazi milioni 40 wa jimbo. Inatumika kwa makampuni yenye mapato zaidi ya dola milioni 25 au yanayoshikilia rekodi za watumiaji 100,000+ wa jimbo. Ilianzisha Shirika la Kulinda Faragha la California (CPPA) kama msimamizi wa wakati wote.

Virginia, Colorado, Connecticut: Sheria tatu zaidi zenye haki zinazofanana. Zinashughulikia wakazi zaidi ya milioni 20 kwa pamoja.

Texas na Florida: Majimbo mawili makubwa sasa pia yana sheria hai za faragha.

Sheria ya Data Yangu ya Afya wa Washington: Sheria kali zaidi ya rekodi za afya ya Marekani nje ya California. Inaeneza haki zaidi ya HIPAA hadi programu za afya za watumiaji.

Kwa makampuni katika majimbo 50 yote, sheria 25 zinashiriki seti ya msingi ya wajibu. Haki za watumiaji, taarifa za faragha, mikataba ya wasambazaji, na mipaka ya rekodi vyote vinahitajika. Sheria halisi zinatofautiana kwa jimbo.

Angalia mwongozo wa uzingatiaji wa kisheria kwa jinsi wajibu huu unavyokusanywa.

Maana ya Hatua za 2024 kwa Timu za Teknolojia

Kesi za 2024 zinatoa mwongozo wazi wa kiufundi.

Rekodi za mafunzo: Makampuni lazima yafuatilie rekodi za kibinafsi zipi zilifunza kila mfano wa AI. Lazima yaonyeshe idhini iliyoshughulikia matumizi ya mafunzo. Lazima pia yathibitishe ni mipaka gani ya wakati iliyotumika.

Mipaka ya kusudi: Wasifu wa AI hauwezi kutumika zaidi ya kilichoambiwa watumiaji wakati wa usajili. Kutumia uchanganuzi wa tabia kwa ajira wakati tu matangazo yalitangazwa ni ukiukaji wa Kifungu 5.

Wajibu wa wasambazaji: Shirika huwachukulia wasambazaji wa SaaS kama hatari ya kampuni inayotekeleza. Ikiwa zana inasindika rekodi za mtumiaji, lazima iwe katika taarifa ya faragha. Mwenendo wa wasambazaji lazima ulingane na madhumuni yaliyotangazwa.

Mifumo ya zero-knowledge: Kesi nyingi za wasambazaji wa AI zinalenga matumizi yasiyotangazwa ya rekodi. Mfumo wa zero-knowledge unashikilia faili zilizosimbwa peke yake. Msambazaji hana ufunguo wa kuzifungua. Hauwezi kutumia rekodi kwa njia ambazo hazikutangazwa. Ukweli huo wa kiufundi unalingana na kinachostahili shirika.

Jifunza jinsi anonym.legal inavyotumia mifumo ya zero-knowledge katika /security-compliance.

Kanuni Iliyopendekezwa ya Ufuatiliaji wa Biashara

Kanuni iliyopendekezwa ya tume juu ya ufuatiliaji wa biashara inasubiri hadi 2025. Ikipita, itaunda sheria wazi za shirikisho.

  • Mipaka ya rekodi kwa matumizi ya AI.
  • Haki za kujiondoa kwa utengenezaji wa wasifu otomatiki.
  • Vizuizi vya kutumia rekodi zilizokusanywa kwa madhumuni mapya.
  • Sheria za usalama kwa rekodi za kibinafsi zilizohifadhiwa.

Kanuni hii itaongeza wajibu kama wa GDPR kwa kampuni yoyote inayohudumia watumiaji wa Marekani. Itainua kiwango cha chini cha sheria ya faragha ya Marekani kwa ujumla.

Soma kuhusu mipaka ya rekodi katika /docs/faq.

Vyanzo

  • FTC: Tume ya Biashara ya Shirikisho. ftc.gov.
  • FTC: Hatua za Utekelezaji wa AI 2024. ftc.gov/news-events/news/press-releases/.
  • CPPA: Shirika la Kulinda Faragha la California. cppa.ca.gov.
  • FTC: Kanuni Iliyopendekezwa ya Ufuatiliaji wa Biashara. ftc.gov/legal-library/browse/rules/commercial-surveillance-rulemaking.

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About this page

We update this page when our platform or the law changes.

Read our founder note for how we work.

Each change shows up in the timestamp at the top.

Related reading

We follow these rules

  • GDPR (EU 2016/679).
  • ISO/IEC 27001:2022.
  • NIS2 (EU 2022/2555).
  • HIPAA safe harbor under 45 CFR § 164.514(b)(2).

Our promise

We do not sell your data.

We do not train models on your text.

We store your files in Germany.

You can delete your account at any time.

You own your work.

Where we run

Our servers live in Falkenstein, Germany.

We use Hetzner. They hold ISO 27001 certification.

All data stays in the EU.

Backups run every day.

Need help?

Email support@anonym.legal.

We reply within one business day.

How we test

We run a full check suite on every release.

Each surface gets its own sweep script and report.

Human reviewers spot-check the output each week.

We track recall and precision on a labelled set.

Bad runs block the deploy.

What we never do

  • We never sell your information to third parties.
  • We never train models on what you upload.
  • We never keep your work after you delete it.
  • We never share keys with any outside firm.
  • We never run ads inside the product.

Plans in plain words

We sell credits, not seats.

One credit covers one short job.

Long jobs use a few credits each.

You can top up at any time.

Unused credits roll over each month.

Read the plans page for current rates.

Who built this

A small team of engineers and lawyers built this.

We ship from Europe and work in the open.

Our founder note spells out why we started.

Where to start

How the parts fit

A browser add-on cleans text inside Chrome.

A Word plug-in handles drafts in Office.

A small desktop tool works on whole folders.

An agent protocol link feeds large models safely.

All four share one core engine and one rule set.

Words from our team

We started this work after a lunch about cookies.

One friend kept getting odd ads on her phone.

We asked why a court file leaked through a draft.

We sketched the first build on a napkin that week.

By month three we had a tiny demo for a friend.

She used it on her first case the next day.

Common questions we hear

Can the tool read scanned PDFs? Yes, with OCR.

Does it work on long files? Yes, in small chunks.

Can I roll my own rule set? Yes, save it as a preset.

Does it run offline? The desktop build runs offline.

Do you keep my files? No, the cloud build wipes after each run.

Will it learn from my work? No, we never train on inputs.

A short tour of the workflow

Upload a file or paste a snippet of prose.

Pick the entities you want gone from the draft.

Choose a method: replace, mask, hash, encrypt, or redact.

Press run and watch the side panel show each hit.

Skim the result and tweak any rule that misfired.

Save the cleaned file or send it to a teammate.