Resources
Support your learning through our searchable research library and discover valuable resources about many topics in artificial intelligence and data analytics, such as AI ethics, bias and data tools.
Select the We Count at Large tag to view a selection of speaking engagements and presentations by IDRC team members. Many of these resources showcase the efforts of IDRC Director Jutta Treviranus, whose pioneering work and insights in AI and inclusive AI continue to inspire and lead the field.
Ethical AI in the Data Ecosystem Environmental Scan (Slides)
- Intermediate
A slide deck presentation of key findings from a data ecosystem environmental scan conducted by the We Count team. The scan covers three areas: post-secondary education, data service providers and AI Firms.
Ethical AI Isn’t the Same as Trustworthy AI, and That Matters
- Intermediate
An article that asserts that while ethics can determine whether a given AI solution sees the light of day, trust will determine its adoption and realized value.
Ethically Aligned Design: A Vision for Prioritizing Human Well-Being with Autonomous and Intelligent Systems (Version 2)
A report that highlights the importance of establishing societal and policy guidelines for ensuring that autonomous and intelligent systems systems remain human-centric, serving humanity’s values and ethical principles.
Ethics and AI: 3 Conversations Companies Need to Have
- Intermediate
This Harvard Business Review article breaks down the three most important discussions companies should be having around AI ethics and the implementation of new guidelines.
Ethics‑Based Auditing of Automated Decision‑Making Systems: Intervention Points and Policy Implications
- Expert
Automated decision-making systems (ADMS) can improve the accuracy and efficiency of decision-making processes, but they are also coupled with ethical challenges. This article outlines the conditions under which ethics-based auditing (EBA) procedures can be feasible and effective.
Ethics Guidelines for Trustworthy AI
- Intermediate
The European Commission's guidelines for trustworthy AI offers a framework for fostering ethical and robust AI.
Ethics, Identity, and Political Vision: Toward a Justice-Centered Approach to Equity in Computer Science Education
- Intermediate
This essay takes a critical look at current computer science curriculum and argues for a justice-centred approach to public school computer science education to ensure issues of equity and any ethical and political implications are addressed.
Ethics, Machine Learning and Disability
- Beginner
A panel discussion at Techshare Pro with accessibility experts on social and technological machine learning issues that need to be addressed.
Ethics of AI
- Intermediate
Learn about AI ethics in a new free online course created by the University of Helsinki. Discover what AI ethics means, what can and can’t be done to develop AI in an ethically sustainable way, and how to start thinking about AI from an ethical point of view.
Ethics of AI‑Enabled Recruiting and Selection: A Review and Research Agenda
- Expert
The authors in this piece presents the ethical dilemmas of AI-enabled recruiting by reviewing scores of papers that have been written about it.