Step1

Strudents from the 2nd P.S of Nea Erythraia were asked to draw pictures of children in order to train a robot (more here) .

Step2

We create a survey based on those pictures and ask the students of our partner's schools to vote if those pictures were clear enough to make a human or a machine to decide if it'a a boy or a girls (quality data, stereotypes). They were also asked to reflect on those data, especially if all cases of children were included (African, Asian, with disabilities, glasses...) 

Step3

Schools' survey participation

2nd P.s of Nea Erythraia: St1 Class

Aristotelio college

Germantas progymnasium

II. OŠ Čakovec - Croatia

Mustafa Kiriş Ortaokulu Efeler/Aydın/Turkey

Tekkeköy İmam Hatip Ortaokulu

8th PS of Nea Filadelfeia, Athens

Evren Paşa Ortaokulu

8th P.S. Kifissia

Step4

the results:

Based on the results of the questionnaire, students have realized how important are Data (well defined, quality, diversity, without misunderstandings) to train a Machine Learning program. They also realized that they have reproduced some  Unconscious Biases (girls have long hair and boys short hair) and have taken into account children with their own characteristics (European, no glasses, no fat children, no or very little children with handicaps, no African nor Asian children...).