This chapter critically examines the capabilities and limitations of technological interventions in addressing non-consensual intimate image (NCII) abuse. Focusing on tools such as perceptual hashing and the StopNCII.org platform, the chapter highlights how survivor-led, privacy-preserving technologies can support proactive content prevention when embedded in a broader ecosystem of support. It explores the evolution of platform liability and regulatory models like the UK’s Online Safety Act and the EU Digital Services Act, arguing that while platform accountability is essential, it cannot replace systemic reforms in law enforcement, education, and victim services. Through an analysis of technological tools including AI and hash-matching, the chapter underscores that technological solutions alone cannot interpret the context and consent central to NCII. It introduces the concept of a self-certification scheme, proposing a legally backed mechanism that empowers individuals to declare specific content non-consensual and trigger automatic moderation. Ultimately, the chapter argues for a balanced, multi-stakeholder model where technology complements—but does not substitute for—legal, social, and cultural interventions.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

What Can Technology Actually Do to Tackle NCII?

  • Sophie Mortimer,
  • Andy Phippen,
  • Emma Bond

摘要

This chapter critically examines the capabilities and limitations of technological interventions in addressing non-consensual intimate image (NCII) abuse. Focusing on tools such as perceptual hashing and the StopNCII.org platform, the chapter highlights how survivor-led, privacy-preserving technologies can support proactive content prevention when embedded in a broader ecosystem of support. It explores the evolution of platform liability and regulatory models like the UK’s Online Safety Act and the EU Digital Services Act, arguing that while platform accountability is essential, it cannot replace systemic reforms in law enforcement, education, and victim services. Through an analysis of technological tools including AI and hash-matching, the chapter underscores that technological solutions alone cannot interpret the context and consent central to NCII. It introduces the concept of a self-certification scheme, proposing a legally backed mechanism that empowers individuals to declare specific content non-consensual and trigger automatic moderation. Ultimately, the chapter argues for a balanced, multi-stakeholder model where technology complements—but does not substitute for—legal, social, and cultural interventions.