Ann Cavoukian - The Time to Embed Privacy, by Design is Now: Into IoT, AI, and Big Data

Conference Website: http://saiconference.com/Computing

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argues that the limiting paradigm of “zero-sum” – that you can either have privacy or innovation, but not both – is an outdated, win/lose model of approaching the question of privacy in the age of Big Data and IoT.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.

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