Archives: IEEE Whitepapers


IEEE IC Big Data Governance and Metadata Management: Standards Roadmap

This document focuses on forming a community of interest from industry, academia, and government, intending to develop a standards roadmap for Big Data Governance and Metadata Management (BDGMM). The approach includes the following: *Review BDGMM-related technology trends, use cases, general requirements, and reference architecture; * Gain an understanding of what…

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Measuring What Matters in the Era of Global Warming and the Age of Algorithmic Promises

The future has already arrived in the form of our children. These children are raising their voices all around the world, demanding policy makers and technologists take the necessary steps to secure their futures. This includes utilizing emerging technologies in a way that prioritizes people and planet over power and…

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IEEE SA 3D Body Processing Industry Connections--Functional Anatomy, Terms, and Common Foot Conditions

This paper provides a brief overview of some important functional anatomy terms and concepts from a medical perspective. The scope of this paper is not to serve as a comprehensive review of all the factors that are important in footwear design but to introduce functional anatomical and biomechanical terms and…

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IEEE SA 3D Body Processing Industry Connections--Comprehensive Review of Foot Measurements Terminology in Use

Digital foot measurements are typically obtained from foot scanners or digital measuring software providers and they are consumed (or used) by footwear brands, orthotic workshops, size recommendation platforms, or even directly by footwear and orthotics users. IEEE SA Industry Connections (IC) 3D Body Processing (3DBP) Footwear Subgroup recommends that each…

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Trusted Data and Artificial Intelligence Systems (AIS) for Financial Services - IEEE Finance Playbook Version 1.0

An industry-specific implementation playbook that encourages technologists in the financial services to prioritize human wellbeing and ethical considerations in the application of data regarding Artificial Intelligence Systems (AIS). The Playbook incorporates IEEE’s Ethically Aligned Design (first edition), IEEE 7000™ series of standards, and ECPAIS certifications to provide a theoretical framework…

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IEEE Federated Machine Learning

Data privacy and information security pose significant challenges to the big data and artificial intelligence (AI) community as these communities are increasingly under pressure to adhere to regulatory requirements, such as the European Union’s General Data Protection Regulation. Many routine operations in big data applications, such as merging user data…

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A Landscape for the Development of Dependable Machines

This white paper, developed in the framework of the IEEE P2851 standardization project, describes a landscape of activities to be performed to address the dependability of intelligent machines during their development and usage in the field. In this context, the landscape is intended as the definition of the entirety of…

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