AI, Safety, & Security for Women: A Survival Guide for Women in Authoritarian America

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Mads Duchamp Esme Mees

AI, Safety, & Security for Women

Name: AI, Safety, & Security for Women
Price: 22.17 AUD
Availability: OutOfStock
ISBN: 9781966014348

A Survival Guide for Women in Authoritarian America

Mads Duchamp, Esme Mees

$24.95 $22.17

Paperback

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English

Publishdrive
09 December 2025

Ethical issues & debates; Ethical & social aspects of computing; Self-help & personal development

Series: Machine Learning

Summary
Details

Women today live inside systems that watch them more closely than they realize. Phones, apps, workplaces, hospitals, banks, and government platforms collect data, track patterns, and hand decisions to automated tools built to save institutions time and money, not to understand women's lives. When these systems tighten or fail, women are the first to feel the impact.

This book offers a clear, steady guide to navigating these systems and protecting yourself inside them. It explains how AI misreads women's routines, stress, caregiving, and health searches because speed is valued over accuracy, and how small adjustments can prevent those errors from shaping important outcomes. It shows how to secure your devices and accounts, guard sensitive health and family information, and communicate safely in monitored environments. It also teaches women how to use AI as a practical tool for planning, clarity, and protection.

Readers learn how to build stronger boundaries, private lanes of communication, and daily habits that restore stability. By the end, women will feel more prepared, more grounded, and less dependent on systems that are increasingly automated and restrictive. No technical skills are required. This is a calm, practical survival guide for women who want safety, privacy, and control in a changing country.

By: Mads Duchamp
Foreword by: Esme Mees
Imprint: Publishdrive
Volume: 2
Dimensions: Height: 216mm, Width: 140mm, Spine: 6mm
Weight: 132g
ISBN: 9781966014348
ISBN 10: 1966014341
Series: Machine Learning
Pages: 104
Publication Date: 09 December 2025
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active