Annotated list of additional educational resources

This annotated list contains educational resources that might be useful in further developing algorithmic literacy educational resources. 

AI Myths website addresses some common misconceptions about AI by offering realistic views of AI in different scenarios.


Algorithm & Data Literacy project contains a collection of resources and activities for learners, including videos, discussion guides, AI card game, and more.


Algorithm Watch is an organization that is committed to envisioning just and inclusive algorithmic systems. Through their research projects, they uncover how algorithmic injustice impacts society and individuals.


Big Data Literacy is an international network of professionals committed to understanding how literacies can shape our understanding of data. The members maintain a database of educational resources in different languages.


Citizen Literacy is an open-access collection of modules to promote key information skills for democratic citizenship. It includes information on algorithm literacy, news literacy, misinformation, and more.


Digital Detox Kit provides practical information on how to keep secure and private one’s online behaviours and avoid misinformation online.


Digital Literacies Toolkit contains a list of activities organized by skills and different topics.


Digital Shred contains a privacy literacy toolkit and a book “Practicing Privacy Literacy.” It provides many teaching materials, such as lesson plans and learning objects.


Digital Tattoo project is a collaborative initiative at the UBC and contains tutorials and quizzes on privacy and surveillance, among other topics.


Do Not Track is a personalized documentary series about privacy, which allows users to experience the tracking that is happening online during their regular internet use. It contains seven episodes about targeted ads, social media algorithms, privacy and smartphone use, as well as scenarios for the future.


Elements of AI is a series of free online self-paced courses, created by MinnaLearn and the University of Helsinki. The courses deal with understanding artificial intelligence (AI), including machine learning, neural networks, and their implication for society.


Gender Shades is a research project developed by Joy Buolamwini, who explored how gender and racial classification by algorithms, describing stong biases these algorithmic systems contain.


Me & My Shadow is a project created to help users control their data and understand how they are being tracked online.


Privacy Workshop & Toolkit was developed by  Penn State Berks for Privacy Workshop Series. It contains resources to help you build your personal data plan and build a basic understanding of privacy issues when it comes to algorithms.


Social Media Collective contains a selection of readings on critical algorithm studies specifically in the social context.


Tech We Trust is a platform that provides activities for learners to improve their digital skills, understanding data practices, and how to adopt ethical thinking online.



Unbias provides resources like Unbias awareness cards & facilitator’s toolkit to help bring awareness to algorithmic biases.


We and AI is an organization committed to spreading awareness about AI. They provide a collection of educational resources to help users reflect on how AI can perpetuate biases and inequalities



We Need to Talk AI is a comic essay on Artificial Intelligence that provides readers with important insights into the impact of AI on society and individuals.