(AI) and/or Machine Learning (ML) algorithms developed to detect online risks and/or promote the online safety of youth and young adults. This code will be released as open source but only as untrained algorithms for the ethical and legal protection of youth.
Peer-reviewed research and/or technical white papers on topics related to youth and young adult online safety, well-being, and risks (e.g., cyberbullying, sexual solicitations, and mental health).
Donated personal data directly from end users, as well as annotated and anonymized training data sets from academics and online platforms in which to improve online safety and risk detection. This data will not be open source for the ethical and legal protection of youth.
A forum that serves to connect academics, industry professionals, policy makers, and government officials who are jointly dedicated to the online safety and well-being of youth and young adults.