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Invisible risk: Algorithms, implications and the new scope of personal data

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Contributors:

Emmi Bane

CIPP/US

Principal, Data Ethics and Emerging Technologies

HP

Carl Mathis

Privacy Architect

HP

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This webinar is designed to address privacy risks that arise from implicative data — information which, though not directly or indirectly identifying, has the potential to shape perceptions, decisions or outcomes for individuals or groups. Implicative data includes inferred, derived or aggregated datasets that enrich profiles and influence data narratives.

Invisible risk Algorithms, implications and the new scope of personal data

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Contributors:

Emmi Bane

CIPP/US

Principal, Data Ethics and Emerging Technologies

HP

Carl Mathis

Privacy Architect

HP

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