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Technology-facilitated gender-based violence in an era of generative AI Rumman Chowdhury with Dhanya Lakshmi

By: Chowdhury, Rumman.
Contributor(s): Lakshmi, Dhanya [Researcher].
Material type: materialTypeLabelBookPublisher: UNESCO, 2023Description: electronic document (34 pages) ; PDF file.ISBN: 978-92-3-100631-9.Subject(s): SOCIAL MEDIA | JUSTICE | IMAGE-BASED SEXUAL ABUSE | ONLINE HARASSMENT | TECHNOLOGY-FACILITATED ABUSE | VIOLENCE AGAINST WOMEN | INTERNATIONALOnline resources: Click here to access online Summary: Generative AI has amplified existing methods and increased the potential avenues for technology-facilitated gender-based violence (TFGBV) faced by many communities online. Combating TFGBV harms due to generative AI requires a combination of measures by both generative AI developers and the technology companies that platform them, focussed actions by civil society organisations, regulation and policies by governments, and raising awareness at an individual level. It requires expansive education on media and information literacy, allowing individuals to critically examine and engage with the media they encounter and arm themselves with the knowledge needed to navigate this new world of generative AI. (From the document). Record #8451
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Generative AI has amplified existing methods and increased the potential avenues for technology-facilitated gender-based violence (TFGBV) faced by many communities online.

Combating TFGBV harms due to generative AI requires a combination of measures by both generative AI developers and the technology companies that platform them, focussed actions by civil society organisations, regulation and policies by governments, and raising awareness at an individual level. It requires expansive education on media and information literacy, allowing individuals to critically examine and engage with the media they encounter and arm themselves with the knowledge needed to navigate this new world of generative AI. (From the document). Record #8451