anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

A collaborative effort among higher education data providers to improve the quality and accuracy of information provided across institutions through the development of clear, standard data items and ...

Research data comes in many guises and can be described in various ways. Monash's definition of research data is from the Research Data Management: Staff, Adjuncts and Visitors Procedure Research Data ...

Abstract: Any program that reads formatted input relies on parsing software to check the input for validity and transform it into a representation suitable for further processing. Many security ...

Editor's note: The IAPP is policy neutral. We publish contributed opinion and analysis pieces to enable our members to hear a broad spectrum of views in our domains. The latest installment in Brussels ...

Risk Description: Involves data that poses a reasonable risk and may lead to civil liability. Often tied to contracts or regulatory compliance. Data Types: Individually identifiable, confidential, ...

Unlock the power of your data with an effective data governance framework for security, compliance, and decision-making. Data governance frameworks are structured approaches to managing and utilizing ...

Learn the definition of data quality and discover best practices for maintaining accurate and reliable data. Data quality refers to the reliability, accuracy, consistency, and validity of your data.

(4) An investment agreement. Under PADFA, it is unlawful for a data broker to sell, license, rent, trade, transfer, release, disclose, provide access to, or otherwise make available personally ...