The Challenge of AI and Machine Learning
Today, industry and government are being transformed by ML and Big Data Analytics. This has created new challenges for privacy and data science ethics, and has led to new privacy policies and laws such the General Data Protection Regulations enacted in the EU. Although de-identified databases are standard practice in protecting privacy, ML and big data analytic techniques have been used to re-identify large numbers of individuals in very large databases. In light of these failures, differential privacy and other paradigms have emerged as new privacy defenses. This talk will cover some of the research that we are conducting in differential privacy, privacy by design, and AI-ethics.
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