Good Is Not Good Enough: A Conversation With Global Data Privacy Expert Dr. Ann Cavoukian
August 14, 2018
Why “Good Is Not Good Enough”
In this webinar, global data privacy expert Dr. Ann Cavoukian; and Luk Arbuckle, Chief Methodologist, Privacy Analytics Inc.; examine the controversies and challenges that compel organizations to implement Best Practice in Data Anonymization.
Luk provides strategic leadership to our clients and to our organization on how to responsibly share and use data. He draws from an extensive background in statistics, data science and anonymization, and from having worked on the regulatory side as Director of Technology Analysis at the Office of the Privacy Commissioner of Canada. Clients rely on Luk to help define the architecture that will enable them to meet their privacy obligations while supporting innovative and scalable uses of their data.
Dr. Ann Cavoukian is recognized as one of the world’s leading privacy experts. Dr. Cavoukian served an unprecedented three terms as the Information & Privacy Commissioner of Ontario, Canada. There she created Privacy by Design, a framework that seeks to proactively embed privacy into the design specifications of information technologies, networked infrastructure and business practices. In 2010, International Privacy Regulators unanimously passed a Resolution recognizing Privacy by Design as an international standard. Since then, PbD has been translated into 40 languages. She is presently the Distinguished Expert-in-Residence, leading the Privacy by Design Centre of Excellence at Ryerson University. Dr. Cavoukian is also a Senior Fellow of the Ted Rogers Leadership Centre at Ryerson University, and a Faculty Fellow of the Center for Law, Science & Innovation at Sandra Day O’Connor College of Law at Arizona State University.
Ann Cavoukian, Ph.D.
Executive Director at Global Privacy & Security by Design Centre
Situation: California’s Consumer Privacy Act inspired Comcast to evolve the way in which they protect the privacy of customers who consent to share personal information with them.
Situation: Integrate.ai’s AI-powered tech helps clients improve their online experience by sharing signals about website visitor intent. They wanted to ensure privacy remained fully protected within the machine learning / AI context that produces these signals.
Situation: Novartis’ digital transformation in drug R&D drives their need to maximize value from vast stores of clinical study data for critical internal research enabled by their data42 platform.
Situation: CancerLinQ™, a subsidiary of American Society of Clinical Oncology, is a rapid learning healthcare system that helps oncologists aggregate and analyze data on cancer patients to improve care. To achieve this goal, they must de-identify patient data provided by subscribing practices across the U.S.
Situation: Needed to ensure the primary market research process was fully compliant with internal policies and regulations such as GDPR.
Situation: Needed to enable AI-driven product innovation with a defensible governance program for the safe and responsible use
of voice-to-text data under Shrems II.
This course runs on the 2nd Wednesday of every month, at 11 a.m. ET (45 mins). Click the button to register and select the date that works best for you.