Privacy — Privasi

Hak individu untuk mengontrol data pribadi. AI meningkatkan tantangan privasi melalui face recognition, data training, inference attack, dan surveillance.

Privacy di era AI: GDPR (2018), CCPA (2020), differential privacy, federated learning, model memorization risk. Face recognition, deepfake, behavioral tracking.

Also known as: privasi
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Privacy

Definisi

Privacy (privasi) adalah hak individu untuk mengontrol data pribadi — bagaimana dikumpulkan, digunakan, disimpan, dan dibagikan.

Tantangan Era AI

  • Face recognition — identifikasi tanpa consent
  • Data training — model LLM dilatih pada data publik, tapi termasuk data pribadi
  • Model memorization — model dapat “mengingat” data training (email, nomor telepon)
  • Inference attack — extract informasi dari model
  • Adversarial — re-identifikasi dari data “anonim”
  • Behavioral tracking — microtargeting iklan, rekomendasi

Regulasi

  • GDPR (EU, 2018) — hak “right to be forgotten”, consent, data portability
  • CCPA (California, 2020) — similar
  • LGPD (Brasil, 2020)
  • PIPEDA (Kanada)
  • Indonesia PDP Law (2022)
  • UU PDP Indonesia (2024, full implementation)
  • China PIPL (2021)

Teknik Proteksi

  • Differential privacy — tambah noise ke data
  • Federated learning — model lokal, hanya gradient dikirim
  • Homomorphic encryption — komputasi pada data terenkripsi
  • Secure multi-party computation
  • Data minimization — kumpulkan yang perlu saja
  • Anonymization — meski sering bisa di-de-anonymize
  • On-device AI — data tidak keluar device

Tools

  • Signal (messaging)
  • DuckDuckGo (search)
  • ProtonMail (email)
  • Tor (anonymous browsing)
  • Apple Private Cloud Compute

Connected to

Not yet written

The following pages are referenced but don't exist yet — they'd make good future additions.

  • /concepts/surveillance

References

  1. Wikipedia

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