speaker-info

Elizabeth Maria Renieris

Global policy counsel at Evernym, Inc.

In this presentation, I will argue that the “new” Regulation isn’t so new from at least three perspectives – historical, technological, or structural.

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Listen to Elizabeth on MyData Podcast here!

BIO
Elizabeth M. Renieris (CIPP/US, CIPP/E) is an entrepreneurial attorney, thought-leader and strategic consultant who is passionate about emerging technologies and their impact on privacy, identity, society, and collective consciousness. She is particularly interested in blockchain and distributed ledger technologies (DLT), artificial intelligence (AI) and machine learning, and frequently advises clients on these subjects. Elizabeth began her career as a government attorney focused on cyber and data security before moving to the private sector where her work with cutting-edge technology clients sparked a deeper interest in the challenges posed by big data, data ownership, and distorted economic incentives around data. As Global Policy Counsel to Evernym, Inc., Elizabeth is helping to strike a new deal on data – one that puts the individual at the center of his/her data universe and in control of decisions about the use of that data. In addition to her legal and consulting work, Elizabeth is actively involved in a number of academic initiatives attempting to foster legal innovation to enable this vision, including through projects with the MIT Media Lab, the Stanford CodeX Project, and various Legal Hackers chapters. As a polyglot who has lived and worked in five countries on three continents, Elizabeth has a global perspective on law and policy.

My Sessions

Legal Landscape

Main Stage

For who? Legal experts, politicians, activists Technology develops so fast, that GDPR may already be outdated. Willem Debeuckelaere and Elizabeth Renieris explain what kind of regulation we need for the era of decentralised blockchain technologies and personal data ecosystems. We know about the content of EU General Data Protection Regulation, and other personal data related […]

Main Stage
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