Building an AI Solution to Prevent Sexual Harassment at Work

Building an AI Solution to Prevent Sexual Harassment at Work

  • The Results
Challenge solved!

In this two-month challenge, the community and the Zero Abuse Project is working on an AI tool that evaluates the risk factors that suggest potential predatory individuals within an organization and those associated with the cover-up.

 

The problem

Sexual abuse in the workplace is unwelcome sexual behavior, which could be expected to make a person feel offended, humiliated or intimidated. It can be physical, verbal or written.

Sexual abuse is not consensual interaction, flirtation or friendship. Sexual abuse is covered in the workplace when it happens at work, work-related events, or between people sharing the same workplace.

 

The challenge goal

In this two-month challenge, we will look into different organizational datasets about sexual abuse behavior and build models to identify a) patterns in sexual abusers, b) corrupt practices and policies that institutions take in protecting the bad actors in their organization. Part of the challenge will involve collecting and aggregating data.

Our collaborators are Senator Joe Dunn (US Senator from the State of California) and Neil Sahota (an IBM Master Inventor, United Nations Artificial Intelligence subject matter expert, and Faculty at UC Irvine). The goal is to build an AI tool that will evaluate the risk factors that suggest potential predatory individuals within an organization and those associated with the cover-up.

More information regarding ZeroAbuse.AI technology and vision can be found in the following video.

 

Currently, 40 collaborators from 17 countries are solving this challenge!

 

This challenge is hosted by our friends at