How technology-facilitated gender-based violence impacts women and girls
Source: UN RIC
Globally, approximately 736 million women — almost one in three — endure violence at least once in their life. The most prevalent form of violence against women globally is intimate partner violence (affecting around 641 million). However, this problem goes beyond interpersonal relationships and reaches into diverse environments, including online platforms. Online violence against women and girls has escalated rapidly in recent years, posing major threats to safety and well-being.
Online violence against women and girls
The digital transformation brings about substantial opportunities, but it also constitutes a space where harm can be perpetrated.
Artificial Intelligence (AI) raises concerns about protecting and promoting human rights. Societal biases linked to gender roles and identities are ingrained in social programmes and services through automated decision-making. Algorithms and devices have the potential to spread and reinforce harmful gender stereotypes. These gender biases pose a risk of further stigmatising and marginalising women on a global scale.
Click here to read the full article published by the United Nations Regional Information Center for Western Europe on 29 November 2023.
Globally, approximately 736 million women — almost one in three — endure violence at least once in their life. The most prevalent form of violence against women globally is intimate partner violence (affecting around 641 million). However, this problem goes beyond interpersonal relationships and reaches into diverse environments, including online platforms. Online violence against women and girls has escalated rapidly in recent years, posing major threats to safety and well-being.
Online violence against women and girls
The digital transformation brings about substantial opportunities, but it also constitutes a space where harm can be perpetrated.
Artificial Intelligence (AI) raises concerns about protecting and promoting human rights. Societal biases linked to gender roles and identities are ingrained in social programmes and services through automated decision-making. Algorithms and devices have the potential to spread and reinforce harmful gender stereotypes. These gender biases pose a risk of further stigmatising and marginalising women on a global scale.
Click here to read the full article published by the United Nations Regional Information Center for Western Europe on 29 November 2023.