These resources focus on responses to AI harms. They draw on Equity, Diversity, Inclusion, Decolonization, and Accessibility (EDIDA) frameworks to address bias, accessibility, and data injustice in AI systems, and to advance more just and inclusive approaches to AI technology design and use. 

Abundant Intelligences. Jason Edward Lewis and Hēmi Whaanga. Indigenous Futures Research Centre, Concordia University; Massey University.  

Accessible and Equitable Artificial Intelligence Systems. (2024) Accessibility Standards Canada. 

Addressing ethical risks in generative AI through a data justice lens. (2024) Smera Jayadeva. The Alan Turing Institute.  

Addressing gender bias in AI: Insights from Canada’s algorithmic impact assessments and beyond. (2025). Habibe Deniz Seval and Renan Gadoni Canaah. AI + Society Initiative, University of Ottawa. 

Advancing data justice research and practice project. The Alan Turing Institute. 

Building an accessible future for all: AI and the inclusion of Persons with Disabilities. (2024) Regional Information Centre for Western Europe, United Nations.  

AI for all: Addressing bias, discrimination and ethics in artificial intelligence. (2024) Bernard Rizk. University of Ottawa.  

Artificial Intelligence and gender equality. (2024) UN Women.  

Building a Feminist toolkit to question A.I. systems. (2021) Joana Varon and Paz Peña. Coding Rights.  

Indigenous-Led AI: How Indigenous Knowledge Systems Could Push AI to be More Inclusive. (2023) Government of Canada.  

Red Teaming Artificial Intelligence for Social Good. (2025) Dr. Rumman Chowdhury, Theodora Skeadas, Dhanya Lakshmi, and Sarah Amos. UNESCO.  

wâsikan kisewâtisiwin. Shani Gwin. pipikwan pêhtâkwan. 

Why data is one of the biggest challenges to leveraging AI for social good – and how the social sector can address it. Nithya Ramanthan and Jim Fruchterman. Standford Social Innovation Review. 

These resources focus on the use of AI in monitoring, border control, and other forms of digital surveillance. 

AI at the Border: A Conversation on Migration Management from the Ground Up. (2020) Jamie Chai Yun Liew and Petra Molnar. AI + Society Initiative, University of Ottawa. 

The consequences of experimenting AI and emerging technologies on migrant communities at the border. (2021) Muriam Fancy. AI + Society Initiative, University of Ottawa. 

The Walls have Eyes: Surviving Migration in the Age of Artificial Intelligence. (2024) Petra Molnar. 

Use of Artificial Intelligence in Canadian (and foreign) border controls, with Petra Molnar. (2024) Petra Molnar, Deanna Okun-Nachoff, and Steven Meurrens. Borderlines – Canadian Immigration Law Podcast. 

News Media 

Detroit Police Chief: Facial Recognition Software Misidentifies 96% of the Time. (2020) Jason Keobler. Vice. 

Microsoft joins Amazon, IBM in pausing face scans for police. (2020) CBC. 

Students have been called to the office – and even arrested – for AI surveillance false alarms. (2025) Sharon Lurye. Halifax City News. 

These resources discuss the role of AI and how it intersects with the environment, climate change, sustainability, energy use, and environmental policy. 

AI and the Planet: Balancing Innovation with Environmental Responsibility. (2024) Community Foundations of Canada. 

AI Could Delay the Green Transition (2025) Policy Horizons Canada.  

AI Strategy for the Federal Public Service 2025-2027: Engagement and consultation  (2025) Government of Canada. 

Artificial Intelligence and Climate Justice (2025) Faculty of Education, The University of British Columbia.  

Artificial Intelligence and the Environment (2024) Sustainability in the Digital Age.  

Beyond the Cloud: What's AI's True Environmental Cost? Part 2 (2025) Alex Walker and Aliénor Rougeot, Environmental Defense.  

CIFAR Symposium on AI for Energy and the Environment: Summary Report (2023) Johnny Kung and Kira Lussier, CIFAR.  

Climate Change AI  

Project on AI Health Humans and Environments Florian Martin-Bariteau, Colleen Flood, Keely Bronson, Michael Da Silva, and Mascha Gugganig, Institute for Science, Society, and Policy, Centre for Law, Technology and Society, and the Centre for Health Law, Policy and Ethics.  

The Unsettling Environmental Footprint of Artificial Intelligence and Some Options (2024) Centre for Teaching and Learning, Western University.  

Towards Measuring and Mitigating the Environmental Impacts of Large Language Models (2023) Dr. Sasha Luccioni, CIFAR 

News Media 

AI-related data centres use vast amounts of water. But gauging how much is a murky business. (2025) Johnathan Montpetit and Yvette Brend. CBC. 

This Dal researchers wants to ensure AI doesn't ruin the environment: Dr. Tushar Sharma explores how to make artificial intelligence greener. (2024) Emily MacKinnon, Dal News 

This section gathers reports, policy documents, and research focused on ethical considerations, privacy, and governance in relation to AI. 

Accountable AI. (2022) Law Commission of Ontario. 

AI: Transformative power and governance challenges.  (2023) Regional Information Centre for Western Europe, United Nations. 

Artificial Intelligence in the public sector: Building trust now and for the future. (2024) Patricia Kosseim, Information and Privacy Commissioner of Ontario. 

Digital and Artificial Intelligence Ethics: Reference Directory. (2024) First Nations of Quebec and Labrador Health and Social Services Commission. 

Principles for responsible, trustworthy and privacy-protective generative AI technologies. (2023) Office of the Privacy Commissioner of Canada, Information and Privacy Commissioner of Ontario, Commission d'accès à l'information du Québec, Office of the Information & Privacy Commissioner Nova Scotia, Ombud New Brunswick, Manitoba Ombudsman, Office of the Information & Privacy Commissioner for British Columbia, Office of the Information & Privacy Commissioner for Prince Edward Island, Office of the Saskatchewan Information and Privacy Commissioner, Office of the Information and Privacy Commissioner of Alberta, Office of the Information and Privacy Commissioner Newfoundland and Labrador, Office of the Information and Privacy Commissioner Northwest Territories, Yukon Information and Privacy Commissioner, and Office of the Information and Privacy Commissioner of Nunavut. 

Privacy in an AI Era: How Do We Protect Our Personal Information? (2024) Katharine Miller, Human-Centered Artificial Intelligence, Stanford University. 

Rethinking Privacy in the AI Era: Policy Provocations for a Data-Centric World. (2024) Jennifer King and Caroline Meinhardt, Human-Centered Artificial Intelligence, Stanford University.  

The governance of artificial intelligence in Canada: Findings and opportunities from a review of 84 AI governance initiatives (2024), Blair Attard-Frost, Ana Brandusescu, and Kelly Lyons, Government Information Quarterly.  

These resources discuss considerations, impacts and use of AI for Mental Health. 

A ChatGPT Therapist Prompt for Customized Mental Health Conversations and Therapeutic Support. (2024) PromptOpti. 

AI & Mental Health: Navigating Support, Safety, and Stigma Dr. Saed D. Hill , EndTAB. 

AI Prompts for Therapists CheckpointEHR. 

An E-Mental Health Strategy for Canada (2024) Mental Health Commission of Canada. 

Canada Gets its First National Guidance on AI for Mental and Substance Use Health (2025) Mental Health Commission of Canada. 

Dr. Jodi Halpern on why AI isn't a magic bullet for mental health (2024) Kaplan, UC Berkeley Public Health.  

Kids and AI: Aura Finds Kids Turning to AI in Disturbing Ways (2025) Aura 

These resources from and for nonprofit and community organizations discuss the role, use and impacts of AI. 

AI and Nonprofits: What Boards Need to Know. (2024) Kathleen Vail. BoardEffect. 

AI Equity Project. (2025) Meena Das & Michelle Flores Vryn. Namaste Data.  

AI For Nonprofits Resource Hub. NTEN.  

AI Hub for Nonprofits. Nonprofit Tech for Good.  

AI in Nonprofit Finance: AI’s Growing Impact on your Mission. (2025) Katherine Bandeniece and Marija Temelkovski. CharityVillage. 

AI with Purpose: How Foundations and Nonprofits Are Thinking About and Using Artificial Intelligence. (2025) Elisha Smith Arrillaga, Seara Grundhoefer, and Christina Im. The Centre for Effective Philanthropy. 

CharityVillage Connects: AI for Impact: How Nonprofits are Turning Tech into Social Good. (2025) Mary Barroll, Dan Kershaw, Tim Lockie, Anne-Marie Netwon, Jason Shim, Jessica Vestergaard, and Elena Yunusov. CharityVillage.  

Demystifying AI for Non-profit Organizations. (2025) Amanda Henry, Scott Vaughan. Alberta Community Development. 

Episode #87 | Ethical AI for Nonprofits: Data Equity Strategies with Meena Das. (2025) Samantha Swaim, Kristin Steele, and Meena Das. The Fundraising Elevator.  

How Nonprofits can Market Their Cause with AI. (2025) Deepa Chaudhary. CharityVillage. 

Leveraging AI for Canadian NPOs: How Canadian Leaders are Using AI to Strengthen Financial Operations and Decision-Making. (2025) Omar Visram, Ravi Virpal and Melissa Sariffodeen. CharityVillage. 

Nonprofit AI Impact Hub. Canadian Centre for Nonprofit Digital Resilience. 

Nonprofits’ Use of AI Exceeds For-Profit Implementation. (2024) The NonProfit Times.  

Should I Be Using AI for This? Jim Fruchterman. Tech Matters.  

The Future of Nonprofits: Advancing Social Justice Through AI Development and Participation. (2025) Tina Crouse. CharityVillage.  

What AI equity for nonprofits really looks like. (2025) Meena Das. Candid.

These resources explore how AI intersects with gender, race, disability, Indigeneity, sexuality, and human rights. They discuss how bias and social inequities are produced and embedded in data and AI systems, along with how these technologies can reproduce or intensify existing systemic inequities.  

AI generates covertly racist decisions about people based on their dialect. (2024) Valentin Hofmann, Pratyusha Ria Kalluri, Dan Jurafsky, and Sharese King. Nature.   

AI, gender bias and development. (2025) Maria Burbach and Illaria Mariotti. United Nations Development Programme Europe and Central Asia. 

AI and Gender Equality. (2023) Hazel T. Biana, Paola Ricaurte, and Paulette Senior. Canadian Women’s Foundation. 

Facebook Knew I was Gay Before I Did: Queer Data and the Generative Capacities of AI – Panel. (2024) Katie Goh, Eddie L. Ungless, Kevin Guyan, and Nicola Osborne. Scottish AI Alliance. 

First Nations and Artificial Intelligence. (2024) Benjamin Wald. Chiefs of Ontario. 

IDA B. WELLS Just Data Lab. Department of African Studies, Princeton University 

Racism and AI: “Bias form the past leads to bias in the future”. (2024) Office of the High Commissioner for Human Rights, United Nations. 

When Artificial Intelligence Gets It Wrong. (2023) Christina Swarns. Innocence Project. 

News Media 

Amazon ditched AI recruiting tool that favored men for technical jobs. (2018) The Guardian. 

‘The Computer Got It Wrong’: How Facial Recognition Led To False Arrest Of Black Man. (2020). Bobby Allyn. NPR. 

These resources from social work scholarship and professional bodies, explore how AI is being discussed within the social work field, including implications for education, research, ethics, and practice. 

AI Governance and Policy for Social Work Agencies (2025) Dr. Marina Badillo-Diaz, The AI Social Worker 

A Primer on Word Embeddings: AI Techniques for Text Analysis in Social Work. (2025) Brian E. Perron, Kelley A. Rivenburgh, Bryan G. Victor, Zia Qi, and Hui Luan. Journal of the Society for Social Work & Research. 

Artificial Intelligence (AI) Literacy for Social Work: Implications for Core Competencies (2025) Eunhye Ahn, Moon Choi, Patrick Fowler, and In Han Song, Journal of the Society for Social Work & Research. 

ChatGPT for Social Work Science: Ethical Challenges and Opportunities (2023) Desmond Upton Patton, Aviv Y. Landau, and Siva Mathiqazhagan, Journal of the Society for Social Work & Research. 

Demystifying Application Programming Interfaces (APIs): Unlocking the Power of Large Language Models and Other Web-Based AI Services in Social Research  (2025) Brian E. Perron, Hui Luan, Zia Qi, Bryan G. Victor, and Kavin Goyal, Journal of the Society for Social Work & Research. 

Recommendations for Social Work Researchers and Journal Editiors on the Use of Generative AI and Large Language Models (2023) Bryan G. Victor, Rebeccah L. Sokol, Lauri Goldkind, and Brian E. Perron, Journal of the Society for Social Work & Research.  

School Social Workers Explore Ethical AI Use in Ontario Classrooms Ontario Association of Social Workers 

The Use of Artificial Intelligence in Practice (2024) Ontario College of Social Workers and Social Service Workers.