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Courses/Technology, Privacy & Intellectual Property/Technology & Blockchain

AI Literacy Series: Where Your Prompts Go

What AI providers do with the information you paste, what privacy law and professional codes require, and how to use AI safely with client work.

Created byJason Deanworkspace_premium
BeginnerUpdated Sep 27, 2026
AI Literacy Series: Where Your Prompts Go

What You'll Learn

check_circleAnalyze the data handling practices of major AI providers across personal and business accounts
check_circleApply de-identification strategies to protect confidential client information in prompts
check_circleEvaluate the risks associated with using consumer-grade AI tools for professional tasks
check_circleImplement verification protocols to prevent errors in AI-generated output
check_circleAssess organizational compliance with privacy laws regarding AI service providers

About This Course

When you paste a client email, a contract or a set of figures into an AI tool, a readable copy lands on someone else's computers. What happens to it next depends on the account you are signed into, the settings you have chosen, and the legal and professional rules you work under. This course follows that copy step by step.

Dr. Jason Dean starts with the route a prompt takes after you press Enter and the four things that can happen to the copy: training, human review, safety logging and legal holds. He then compares, in plain language, how ChatGPT, Claude, Gemini and Microsoft Copilot treat personal accounts and business accounts, including retention, human access, feedback buttons, memory and share links. Real settings screens show where the training controls are.

The course then separates documented incidents, such as search-indexed share links and the Samsung source-code case, from fears that the public record does not support, and explains shadow AI, legal holds and data residency. The legal section uses Canada as the worked example and shows how the same question is handled under the EU and UK GDPR, United States sector rules, Australia's Privacy Act and professional codes such as the IESBA Code and ABA Formal Opinion 512. It closes with practical tools: a data ladder, a green-amber-red sorting rule, a de-identification exercise, sample client-disclosure wording and seven working habits.

By the end of the course, learners should be able to:

  • trace where a prompt goes after it is submitted and identify which copies their own settings control;
  • compare how major AI providers treat personal and business accounts for training, retention, human review and sharing;
  • explain why account type, settings, agreements and data location change what a provider may do with information;
  • distinguish documented AI privacy incidents from unsupported fears, and recognise shadow AI;
  • apply privacy-law and professional-confidentiality principles to AI use, using Canada as a worked example and recognising how other jurisdictions differ;
  • sort a work task as green, amber or red using sensitivity, account and task; and
  • de-identify a prompt while recognising the limits of de-identification.


Note: General educational information only. Laws and professional rules vary by jurisdiction and change over time.

Your Instructor

Jason Dean
Jason Dean

Associate Professor of Economics | King's University College at Western

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star123 reviews

#Dr. Jason Dean **Associate Professor of Economics and Applied Economist** Dr. Jason Dean is an Associate Professor of Economics at King’s University College at Western University and holds a PhD in Economics from McGill University. He teaches university students and working professionals, drawing on experience in academic research, economic consulting, public policy and the practical use of artificial intelligence. His CPD work covers applied economics and emerging AI tools. His approach is practical and evidence-based: explain how something works, identify the assumptions and limitations, and give learners a framework they can use in their own work. Jason has worked extensively with generative AI since the emergence of ChatGPT, incorporating it into teaching, research and professional education. He has delivered three presentations for Haver Analytics, most recently a June 2026 session on Model Context Protocol (MCP) servers. He has also presented on AI for the Canadian Chamber of Commerce and the Toronto Association for Business and Economics. His presentations have covered AI productivity tools, copyright, privacy, emerging capabilities and the practical implications of using AI in professional work. Before joining King’s, Jason worked as an associate and health economist at Analysis Group and as an economic research analyst at CEP News. His consulting work contributed to published studies of healthcare costs and treatment outcomes. He has also taught economics to CPA students at Sheridan College. Jason’s teaching career has taken him across Canada, Japan and China. In 2024, he was a visiting professor in Canadian Studies at Kwansei Gakuin University in Japan, where he taught Canadian Business Culture and Canadian Economic History. He has also taught Labour Economics at Wuhan University of Technology and Labour Economics and International Trade and Finance at Renmin University in Beijing. His experience teaching in China later prompted him to develop his Economics of China course at King’s. His Canadian teaching experience also includes Wilfrid Laurier University, McMaster University Continuing Education and McGill University. Jason has contributed assessment questions, digital learning activities and instructional materials to economics resources for McGraw-Hill and Pearson. His research examines questions with practical consequences for households, workers and employers. What happens when immigrants cannot find work related to their education? How does a fall in income affect a renter’s ability to move? Do Canadian housing and stock markets share a long-run relationship? His work has appeared in journals including *Applied Economics*, *Regional Science and Urban Economics*, *Cliometrica* and the *Journal of Housing Economics*. As an Associate Researcher with the Montreal Economic Institute, Jason studies how taxes and benefit reductions affect the financial return to work. His policy publications examine the circumstances of low-income seniors, people taking second jobs and workers moving off income assistance. He has also provided media commentary on housing, labour markets, artificial intelligence and the Canadian economy. Jason also holds an MA in Economics from the University of Guelph and an Honours BBA from Wilfrid Laurier University. --- ## MONTREAL ECONOMIC INSTITUTE | RESEARCH REPORTS - **“End Penalties That Punish Low-Income Seniors Who Work”** (2026), with the collaboration of Gabriel Giguère. - **“The Benefits of Eliminating the Middle-Income Tax Bracket”** (2025), with the collaboration of Emmanuelle B. Faubert. - **“Full-Time Struggle and Two-Job Juggle: A Tax Holiday for Canadians to Fight Rising Costs”** (2024), with the collaboration of Renaud Brossard. - **“Canada’s Welfare Wall: Enhancing the CWB for Full-Time Employment”** (2023), with the collaboration of Renaud Brossard. - **“Labour Shortages: Helping a Trapped Pool of Potential Workers Help Themselves”** (2023), with the collaboration of Célia Pinto Moreira. --- ## POLICY COMMENTARY - **“It’s time to give the middle class a real tax break.”** *The Hamilton Spectator*, March 17, 2025. - **“Hey Ottawa, workers with two jobs could use a break.”** *The Hamilton Spectator*, January 13, 2024. - **“Workers Benefit not working for workers.”** *Financial Post*, May 4, 2023. --- ## PEER-REVIEWED RESEARCH | ECONOMICS - Dilmaghani, M., and Dean, J. **“Sexual orientation and intra-household specialization before and after the legal recognition of same-sex marriage in Canada.”** *Applied Economics*, 56(29), 3460–3484 (2024). - Singh, A., McFarlane, A., Dean, J., and Erenburg, G. **“Are Canadian Residential Real Estate and Stock Markets Segmented or Integrated?”** *Empirical Economics Letters*, 23(7) (2024). - Dean, J., and Steele, M. **“Income decline, financial insecurity, landlord screening and renter mobility.”** *Regional Science and Urban Economics*, 95, 103797 (2022). - Dean, J., and Geloso, V. **“The linguistic wage gap in Quebec, 1901 to 1951.”** *Cliometrica*, 16, 615–637 (2022). - Dilmaghani, M., and Dean, J. **“Sexual orientation and homeownership in Canada.”** *Journal of Housing Economics*, 49, 101688 (2020). - Dean, J. **“Does it matter if immigrants work in jobs related to their education?”** *IZA Journal of Development and Migration*, 8, Article 7 (2018). - Dilmaghani, M., and Dean, J. **“Labor Market Attainment of Canadian Jews During the First Two Decades of the 20th Century.”** *Contemporary Jewry*, 38, 49–77 (2018). - Dean, J., and Dilmaghani, M. **“Economic Integration of Pre-WWI Immigrants from the British Isles in the Canadian Labour Market.”** *Journal of International Migration and Integration*, 17(1), 55–76 (2016). - Dilmaghani, M., and Dean, J. **“Religiosity and female labour market attainment in Canada: the Protestant exception.”** *International Journal of Social Economics*, 43(3), 244–262 (2016). --- ## COAUTHORED RESEARCH | HEALTH ECONOMICS AND OUTCOMES - **“Systematic review of long-acting injectables versus oral atypical antipsychotics on hospitalization in schizophrenia.”** *Current Medical Research and Opinion*, 30(8), 1643–1655 (2014). - **“Burden of schizophrenia on selected comorbidity costs.”** *Expert Review of Pharmacoeconomics & Outcomes Research*, 14(2), 259–267 (2014). - **“Impact of omalizumab on emergency-department visits, hospitalizations, and corticosteroid use among patients with uncontrolled asthma.”** *Annals of Allergy, Asthma & Immunology*, 109(1), 59–64 (2012). --- ## OTHER RESEARCH REPORTS - Dean, J., and Dilmaghani, M. **“Religious Diversity and Labour Market Attainment: Nova Scotia and New Brunswick, 1911–2011.”** Atlantic Research Group on Economics of Immigration, Aging and Diversity (2015).

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