Project Participation Statement

Child Abuse Detection Project

Anima Know Yourself Company Ltd. and the Emili Sagol Research
Center at the University of Haifa have developed a computerized artificial
intelligence system aiming to detect child abuse by self-figure drawings.

Child abuse is a worldwide phenomenon with severe long-term mental and physical effects; including depression, anxiety, addiction, self-harm, and chronic disease. Sexually abused victims are often reluctant to disclose their experience which in turn, might prevent them from receiving the appropriate treatment. In addition, professional assessment tools are nonspecific to child abuse. Our aim is to develop a non-invasive assessment system based on client cooperation that will detect child abuse. This assessment report will allow professionals to specifically provide child abuse treatment and not solely treat symptoms as often happens today. With the benefit of a more focused, accurate and brief detection tool, we hope to help victims to get the help they need and assist professionals in providing it. For this purpose, we need your help in donating a self-figure drawing created by you or your child (above the age of 4). All information will be kept anonymous, confidential, and used for improving this system only.

Thank you for taking your time to participate in this project.
Don’t hesitate to contact me with any questions,
Professor Rachel Lev-Wiesel ,

This development system project has promising implications for child abuse victims, professionals and the research community, that cannot be overstated. We appreciate your interest in this project and would not be able to achieve our goal without community volunteers. Your participation in this study is voluntary. It is up to you to decide whether or not to take part in this study. If you decide to take part in this study, you will be asked to sign a consent form. After you sign the consent form, you are still free to withdraw at any time and without giving a reason. Withdrawing from this study will not affect the relationship you have, if any, with the researcher.

At the end of the process you will receive a random username and a secret code (PINCODE). The user name and secret code are unique details that will allow you to view the system’s output based on the drawings you have sent. The more drawings you share with us, the higher the system accuracy will be reached. It should be emphasized that the output does not constitute a professional opinion and/or substitute for diagnosis by an authorized professional.

1. Please keep the PINCODE in a secure place, as we will not be able to display the feedback output without it (We will not save a copy of the PINCODE).
2. All the data collected in the project will be stored in our databases and will be accessible only to the team of researchers. The data backlog will help us improve the system performance and remain in our databases for R & D, including for product improvement.
3. Despite the heavy workloads and manpower constraints, we will make every effort to produce the feedback output as soon as possible. Requests will be answered in order. /
Professor Rachel Lev-Wiesel,