Unintended Consequences (50m)

Presented by

Nainesh Ramjee, TrustArc; Dr. Paul Root Wolpe, Emory University; Dennis Hirsch, Ohio State University, Barbara Lawler, Looker

About this talk

(50m) The advanced analytics and greater use of Big Data in today’s world has unlocked information, insights, and new uses that we could never have imagined: good, bad, and unintended altogether. As data analytics, AI, and Machine Learning continue to be leaned on more, organizations must start thinking of a different way forward, and how to navigate uncharted and unanticipated ethical waters. Embedding data ethics into a privacy management framework requires both going beyond the box-checking of compliance, and a deeper understanding of our relationship to data and its purpose. In this session, you will: • Be introduced to the emerging concept and philosophy of ‘data ethics’ as it pertains to Big Data and advanced analytics such as AI and Machine Learning • Learn about the related social benefits, harms, and risks that arise from Big Data analytics • Become familiarized with some best practices and strategies to embed data ethics into a privacy management framework Speaker: Nainesh Ramjee, Senior Counsel, CIPP/US, Privacy Intelligence, TrustArc Dr. Paul Root Wolpe, Director, Center of Ethics, Emory University Dennis Hirsch, Professor of Law; Director, Program on Data and Governance, The Ohio State University Moritz College of Law Barbara Lawler, Chief Privacy and Data Ethics Officer, Looker (Google Cloud)

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