Concern 655 · Working draft · editorial review in progress

Domestic-abuse escalation via smart-home AI

Smart-home abuse occurs when someone uses connected or AI-enabled household devices to monitor, intimidate or control another person.

Understanding the concern

A device that controls locks, cameras or temperature can be helpful when everyone has a fair say. In an abusive relationship, the same access can become a way to restrict movement, watch someone or make them doubt what is happening. AI may make monitoring or coordinated control easier, but it is not required for the abuse.

eSafety describes how connected devices can fit into patterns of coercive control. The issue is not simply a weak password; it is who holds power over the home and its accounts. Product design should consider shared ownership, clear access records and safe ways to manage permissions. Changes need to be handled carefully because they can be visible to an abusive person.

An example

One household member repeatedly changes connected-device settings remotely to unsettle or restrict another.

Illustrative unless identified as a documented case.

Words in plain English

AI
Software that learns patterns from examples or uses rules to perform tasks such as recognizing images or generating text. It can make mistakes and does not understand every situation as a person would.

Evidence and its limits

The source discusses connected-device abuse and emerging AI convergence. It does not imply that all such abuse uses AI or prescribe a universally safe technical response.

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Broader frameworks and background

These resources provide context. They do not establish every claim in this concern.

A question to discuss

How can a household member understand who has device access and seek support without losing control of their own home?

Keep track of different views, what needs checking, and any next step in your own discussion notes.

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Principles for the conversation

Before you finish · reflect together

Virtues and principles to consider

Virtues are qualities we practice in how we treat people and make choices. They are not scores for judging someone. Use these ideas to explore what a thoughtful response could look like.

Service

Service means using abilities and resources to meet real needs. It asks whether the people meant to benefit actually receive help, rather than treating them as a means to another goal.

Speak with the people the project is meant to serve. Notice burdens it may add, such as extra checking or confusing forms. Judge success by their experience as well as the organization's targets.

Ask together: Who is this meant to serve, and do they experience it as helpful?

Dignity

Dignity means recognizing each person's worth regardless of usefulness, status, or a system's score. People deserve respect and a voice in matters that affect them.

Explain important decisions, avoid humiliating treatment, and keep room for a person's story. Do not treat a prediction as a complete account of who someone is.

Ask together: Does this use treat each person as someone whose experience matters?

Listening

Listening means trying to understand someone's experience before preparing an answer. People who use a service, work with it, or are judged by it may notice problems its designers miss.

Invite people to describe what happened in their own words. Repeat back what you understood and let them correct it. A quiet person or a complaint that is hard to measure may still reveal something important.

Ask together: Whose experience have we not heard yet?

Editorial ratings

These are editorial judgments from the register, not measured probabilities or predictions about your situation.

Severity
Major · 4/5
Likelihood
Widely observed · 4/5
Time horizon
Now
Register risk score
16
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