A Queen’s Law intensive for all professionals on exploring the emerging directions in privacy law, law reform, and AI governance.

Online: November 19-20, 2026

The rapid development and adoption of artificial intelligence (AI) technologies pose fresh challenges for Canada’s privacy laws. This two-day course will explore five contemporary themes: governing data; adopting AI-enabled technologies without breaching privacy law; using personal data for innovation and AI; emerging & global privacy challenges; and key developments to watch in upcoming privacy reform. Taught by leading experts in Canadian privacy law, the course will combine presentations and discussion using real-world examples at the cutting edge of AI and privacy law. The program runs November 19–20, 2026, and costs $1,400.

Registration closes November 5, 2026.

Develop your knowledge across a spectrum of issues

Designed for non-lawyers as well as legal practitioners, the Emerging Directions in AI and Privacy Law Intensive brings theory and practice together. It will give participants a fundamental understanding of myriad legal issues surrounding AI and Privacy Law, ranging from governing data to key developments to watch in upcoming privacy reform.

*Please note speakers are subject to change.

Time of Session

Speaker

Topic

Day 1

10:30 AM – 11:25 AM

Chantal Bernier

Governing data - Session 1

Cross-border data flows
Data sovereignty
Data sharing agreements
Data deletion

Day 1

11:25 AM – 11:35 AM

Break

Day 1

11:35 AM – 1:00 PM

Tayyaba Iftikhar

Governing data - Session 2

IPC Ontario’s guidelines on Anonymization, de-identification, types of data sharing, and synthetic data issues.

Day 1

1:00 PM – 2:00 PM

Lunch

Day 1

2:00 PM – 3:25 PM

Samuel Dahan

Adopting AI-enabled technologies without breaching privacy law - Session 1

Generative AI in practice, protecting firm knowledge, maintaining client confidentiality, and challenges of agentic AI.

Day 1

3:25 PM – 3:35 PM

Break

Day 1

3:35 PM – 5:00 PM

Kevin Banks

Adopting AI-enabled technologies without breaching privacy law - Session 2

AI in the workplace, employee surveillance risks, data privacy issues, and management policies

Day 2

10:00 AM – 11:25 AM

Eloise Gratton

Using Personal Data for Innovation and AI

Consent v. legitimate interests
Predictions/inferences

Day 2

11:25 AM – 11:35 AM

Break

Day 2

11:35 AM – 1:00 PM

Amanda Maltby

Emerging & Global Privacy Challenges

Bigger-picture, forward-looking exploration of upcoming privacy law challenges in Canada, the US, EU, and globally.

Day 2

1:00 PM – 2:00 PM

Lunch

Day 2

2:00 PM – 3:25 PM

Teresa Scassa

Things to look for in upcoming privacy reform - Session 1

Automated decision-making
Changes to the consent model

Day 2

3:25 PM – 3:35 PM

Break

Day 2

3:35 PM – 5:00 PM

Teresa Scassa

Things to look for in upcoming privacy reform - Session 2

De-identified and anonymized data
New enforcement powers

If you have questions about the Emerging Directions in AI and Privacy Law Intensive, contact us lawprofessionalcertificates@queensu.ca

Intensive at a glance

Taught by experts

Leading legal researchers from Queen’s Law and, the University of Ottawa will be joined by privacy law practitioners and technology experts to take a deep look at privacy law issues and their intersections with artificial intelligence technologies.

Virtual format

The program runs full-time over two days on Zoom. Active participation (camera on) is required in all sessions to be awarded the Certificate at the end of the program.

Open to all learners

This program is designed to bridge the gap between lawyers and experts in the field, with both groups learning from each other. Learners without a legal background will be provided with an introductory module.

Professional Development

Students who complete the course will receive a certificate of completion and a digital badge from Queen’s Law. Continuing Professional Development credit hours are available to those who are eligible.

What you will learn

This two-day virtual e-learning program delivers in-depth understanding of the many ways that technology intersects with privacy law. It is taught by interdisciplinary experts from both the legal and professional fields.

Understand the practical and legal issues involved in governing data, including cross-border data flows, data sovereignty, sharing arrangements, deletion, and de-identification.
Understand strategies for adopting AI-enabled technologies without breaching privacy law, including Generative AI (internal and shadow use), agentic AI, and AI in the workplace.
Understand the legal and policy issues raised by using personal data for innovation and AI, including consent, legitimate interests, predictions and inferences, and forward-looking privacy law challenges.
Identify the major issues likely to shape upcoming privacy reform, including automated decision-making, consent reform, deidentified/anonymized data, and enforcement powers.

Who should attend

All learners are welcome to two days of e-learning sessions, with no prior legal experience required. A short introductory module will be provided to participants with no legal background to familiarize them with key legal concepts and terminology that will be covered in the course.

This course is for both non-lawyer professionals and practicing lawyers. Whether you work in the non-profit sector, the private sector, technology, government, or private legal practice, this course is for you. Diverse professional backgrounds are represented among our subject-matter experts – and encouraged among our students.

Fees

The fee for the Emerging Directions in AI and Privacy Law Intensive is $1,400 and is payable upon acceptance of an offer of admission.

Are you part of a larger organization? Contact lawprofessionalcertificates@queensu.ca for details.

Substitution, Cancellation and Refund Policies

Content experts

Chantal Bernier

Co-chair, Global Privacy and Cybersecurity Group, Dentons

Chantal Bernier is a Distinguished Privacy Practitioner in Residence at the University of Ottawa and co-chair of Dentons’ Global Privacy and Cybersecurity Group. She is a former head of the Office of the Privacy Commissioner of Canada and has extensive experience advising on privacy, cybersecurity, and data governance issues.

Tayyaba Iftikhar

Senior Technology and Policy Advisor, Information and Privacy Commissioner of Ontario (IPC)

Tayyaba Iftikhar has over a decade of experience in digital governance, privacy, and online safety. Prior to joining the Ontario IPC, she served as Assistant Director at the Pakistan Telecommunication Authority (PTA), leading national digital literacy and platform governance initiatives. She holds an LLB from the University of London and an MSc from the London School of Economics.

Kevin Banks

Associate Dean (Faculty and Academic Policy) & Professor Faculty of Law, Queen's University.

Kevin Banks is a Professor of Law and the Associate Dean of Faculty and Academic Policy at Queen's Law. He is the Editor-in-Chief of the Canadian Labour and Employment Law Journal. His research specializes in labour and employment law, workplace technological change, and surveillance. He has served in several senior leadership roles within the Public Service of Canada and holds an S.J.D. from Harvard Law School.

Samuel Dahan

Associate Professor of Law & Director, Conflict Analytics Lab Faculty of Law, Queen's University

Samuel Dahan is an Associate Professor and Queen's National Scholar at Queen's University Faculty of Law, and a Visiting Professor of Law at Cornell Law School. He is the founding Director of the Conflict Analytics Lab, an international research consortium on legal AI and dispute resolution, and the founder of OpenJustice, an AI infrastructure company for law and conflict resolution. His work focuses on how dispute settlement, institutional problem-solving, and legal reasoning can be encoded into AI systems while protecting client confidentiality and proprietary firm knowledge. He has worked with industry partners such as Deel and leading international law firms. Prior to joining Queen's, he served as a référendaire at the Court of Justice of the European Union and holds a PhD in Law from the University of Cambridge.

Eloise Gratton

Partner and National Co-Chair, Privacy and Data Management Osler, Hoskin & Harcourt LLP

Éloïse Gratton is a partner and National Co-Chair of Osler’s Privacy and Data Management practice. Widely recognized as a pioneer in privacy law, she advises corporations and boards on cyber incident response, artificial intelligence ethics, and data governance. She holds a double doctorate in law, is ranked Band 1 by Chambers Canada, and has authored several leading books cited by academic journals and the Supreme Court of Canada.

Amanda Maltby

Chief Privacy Officer, Environics Analytics

Amanda Maltby is the Chief Privacy Officer at Environics Analytics, where she leads organization-wide privacy strategies and compliance in the design, development, and delivery of data products and services. Prior to this role, she served as the Chief Privacy Officer at Canada Post Corporation, where she established its enterprise privacy program and its AI governance framework. Her extensive background includes serving as Senior Vice-President of Public Affairs at both Ipsos Reid and the Canadian Marketing Association, where she represented the association globally on data privacy, digital marketing, and consumer protection. Notably, she served on the federal government's expert committee that established Canada's first private sector privacy law (PIPEDA) and its foundational protection principles.

Teresa Scassa

Full Professor, Faculty of Law, University of Ottawa

Teresa Scassa is the Canada Research Chair in Information Law and Policy and a Full Professor in the Faculty of Law, Common Law Section at the University of Ottawa. She is a member of the Strategic Advisory Council of Ontario’s Information and Privacy Commissioner, a member of the Law Commission of Ontario's Advisory Panel on the AI in Civil and Administrative Justice Project, and has written widely on artificial intelligence, data governance, and data privacy issues.