Facebook said on Friday it would use artificial intelligence to combat the spread of intimate photos shared without people’s permission, sometimes called “revenge porn,” on its social networks.

When those images are reported to Facebook, the company is using photo-matching technology to keep them from being re-shared. To find this content more quickly and better support victims, Facebook is now using new detection technology and an online resource hub to help people respond when this abuse occurs.

By using machine learning and artificial intelligence, Facebook says it can now proactively detect near nude images or videos that are shared without permission on Facebook and Instagram.

Members of Facebook's Community Operations team will review the content found by the new technology. If the image or video violates Facebook's Community Standards, the company will remove it, and in most cases will also disable an account for sharing intimate content without permission. An appeals process is also available if someone believes a mistake has been made.

This new detection technology is in addition to Facebook's pilot program jointly run with victim advocate organizations. This program gives people an emergency option to securely submit a photo to Facebook. Facebook then creates a digital fingerprint of that image and stop it from ever being shared on Facebook's platform in the first place.

Facebook is also launching “Not Without My Consent,” a victim-support hub developed together with experts. Here victims can find organizations and resources to support them, including steps they can take to remove the content from Facebook's platform and prevent it from being shared further. Facebook is also going to make it easierfor victims to report when their intimate images were shared on Facebook. And over the coming months, Facebook plans to build a victim support toolkit to give people around the world more information with locally and culturally relevant support. THat will be created in partnership with the Revenge Porn Helpline (UK), Cyber Civil Rights Initiative (US), Digital Rights Foundation (Pakistan), SaferNet (Brazil) and Professor Lee Ji-yeon (South Korea).