DESIGNING ETHICAL ARTIFICIAL INTELLIGENCE (AI) SYSTEMS WITH MEANINGFUL YOUTH PARTICIPATION: IMPLICATIONS AND CONSIDERATIONS

Abstract

While artificial intelligence (AI) enabled systems have shown impressive accuracy in detecting harmful content online, they are still not perfect and do not take into account the perspective of children in their design. The development of AI systems heavily relies on large datasets for training, and creating such datasets involves annotating vast amounts of data. Studies that involve children in dataset development also have their challenges, such as the possibility of re-traumatisation. Therefore, ethical considerations must be taken into account, such as obtaining informed consent, conducting design sessions with children and young people, and addressing implicit and explicit biases in AI filtering, profiling, and surveillance systems. It is crucial to involve children and young people in the design of AI systems that filter content to ensure ethical considerations are met. In this article we discuss the ethical concerns in AI development with children and young people, and also possible techniques that help mitigate such concerns.