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Explainability as a Requirement for Hardware: Introducing Explainable Hardware (XHW)

Title data

Speith, Timo ; Speith, Julian ; Becker, Steffen ; Zou, Yixin ; Biega, Asia ; Paar, Christof:
Explainability as a Requirement for Hardware: Introducing Explainable Hardware (XHW).
In: Liebel, Grischa ; Hadar, Irit ; Spoletini, Paola (ed.): 2024 IEEE 32nd International Requirements Engineering Conference (RE). - Piscataway, NJ : IEEE , 2024 . - pp. 354-362
ISBN 979-8-3503-9511-2
DOI: https://doi.org/10.1109/RE59067.2024.00042

Official URL: Volltext

Project information

Project title:
Project's official title
Project's id
EXC 2092 CASA
390781972
TRR 248
389792660
Explainable Intelligent Systems (EIS)
AZ 9B830, AZ 98509, and AZ 98514

Project financing: Deutsche Forschungsgemeinschaft
VolkswagenStiftung

Abstract in another language

In today's age of digital technology, ethical concerns regarding computing systems are increasing. While the focus of such concerns currently is on requirements for software, this article spotlights the hardware domain, specifically microchips. For example, the opaqueness of modern microchips raises security issues, as malicious actors can manipulate them, jeopardizing system integrity. As a consequence, governments invest substantially to facilitate a secure microchip supply chain. To combat the opaqueness of hardware, this article introduces the concept of Explainable Hardware (XHW). Inspired by and building on previous work on Explainable AI (XAI) and explainable software systems, we develop a framework for achieving XHW comprising relevant stakeholders, requirements they might have concerning hardware, and possible explainability approaches to meet these requirements. Through an exploratory survey among 18 hardware experts, we showcase applications of the framework and discover potential research gaps. Our work lays the foundation for future work and structured debates on XHW.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: hardware requirements; explainable hardware; explainability; explainable systems; non-functional requirements; explainable artificial intelligence; XAI; trustworthiness
Institutions of the University: Faculties > Faculty of Cultural Studies > Department of Philosophy
Faculties > Faculty of Cultural Studies > Department of Philosophy > Chair Philosophy, Computer Science and Artificial Intelligence
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
100 Philosophy and psychology > 100 Philosophy
Date Deposited: 10 Apr 2025 05:12
Last Modified: 10 Apr 2025 05:12
URI: https://eref.uni-bayreuth.de/id/eprint/93267