The Time to Embed Privacy, by Design is Now: Into IoT, AI, and Big Data, While We Still Can! presented at SAIcompconf 2016

by Ann Cavoukian,

Summary : Executive Director of the Ryerson University Institute for Privacy and Big Data, Canada
Dr. Ann Cavoukian is recognized as one of the world’s leading privacy experts. She is presently the Executive Director of the Privacy and Big Data Institute at Ryerson University. Appointed as the Information and Privacy Commissioner of Ontario, Canada in 1997, Dr. Cavoukian served an unprecedented three terms as Commissioner. 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, thereby achieving the strongest protection possible.
Dr. Cavoukian’s expertise has been recognized in many ways. She was: ranked among the top 25 Women of Influence, recognizing her contribution to the Canadian and global economy; named one of the top 100 City Innovators Worldwide by UBM Future Cities for her passionate advocacy of Privacy by Design; chosen as one of the ‘Power 50’ by Canadian Business magazine for her tireless efforts as a privacy champion; awarded an Honorary Doctor of Laws from the Unviersity of Guelph; she was selected for Maclean’s Magazine’s ‘Power List’ of the top 50 Canadians, and most recently, picked as one of the top 10 women in data security, compliance, and privacy you should follow on Twitter.
Abstract: Privacy is presently under siege. With the growth of ubiquitous computing, online connectivity, social media, and wireless and wearable devices, people are being led to believe they have no choice but to give up on privacy. This is not the case! Dr. Cavoukian will outline a privacy framework called Privacy by Design that will enable our privacy and our freedom, to live well into the future. While some believe that fundamental privacy protections will be challenged by the operation of Big Data analytics, Dr. Cavoukian dispels the notion that privacy acts as a barrier to analytics and the innovations they can spark. She argues that the limiting paradigm of “zero-sum” – that you can either have privacy or innovation, but not both – is an outdated, win/lose model of approaching the question of privacy in the age of Big Data and IoT. Instead a “positive-sum” solution is needed in which the interests of both sides may be met, in a doubly-enabling, “win-win” manner through Privacy by Design (PbD). PbD is predicated on the rejection of zero-sum propositions by proactively identifying the risks and embedding the necessary protective measures into the design and data architecture involved. Dr. Cavoukian will demonstrate how you can embed privacy into virtually any system or operation to achieve positive sum outcomes, enabling both privacy and data utility – not one at the expense of the other.