Privacy risk assessments and ethical considerations in the collection and use of data are now more important than ever. Their great significance is driven by the collection of data via mobile and IoT devices; low cost cloud storage; and more useful and powerful machine learning and AI technology. This session examines the intersection of privacy and data ethics; the new types of risks and broader group of impacted stakeholders; and the need to move from general principles and guidelines to a practicable and repeatable methodology. This session will present thinking on a practical methodology/framework for data ethics that can be integrated into existing privacy risk assessments.
H. Leigh Feldman, Managing Director, Privacy & Data Protection, Promontory Financial Group, an IBM Company
Nicolas Economou, CEO, H5
Ben Zevenbergen, Visiting Professional Specialist, Princeton University’s Center for Information Technology Policy
Yoomi Lee, Head of Enterprise Data Partnership Strategy, American Express