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Record linkage refers to the task of integrating data from two or moredatabases without a common identifier. MINDFIRL (MInimum Necessary DisclosureFor Interactive Record Linkage) is a software system that demonstrates thetradeoff between utility and privacy in interactive record linkage. Due to theneed to access personally identifiable information (PII) to accurately assesswhether different records refer to the same person in heterogeneous databases,privacy is a major concern in interactive record linkage. MINDFIRL supportsinteractive record linkage while minimizing the privacy risk by (1) usingpseudonyms to separate the identifying information from the sensitiveinformation, (2) dynamically disclosing only the minimum necessary informationincrementally, as needed on-demand at the point of decision, and (3) quantifiesthe risk due to the needed information disclosure to support transparency, thereasoning, communication, and decisions on the privacy and utility trade off.In this paper we present an overview of the MINDFIRL system and thek-Anonymized Privacy Risk (KAPR) score used to measure the privacy risk basedon the disclosed information. We prove that KAPR score is a norm meeting allthe desirable properties for a risk score for interactive record linkage.

Increasing Transparent and Accountable Use of Data by Quantifying the Actual Privacy Risk in Interactive Record Linkage