Educating software and AI stakeholders about algorithmic fairness, accountability, transparency and ethics

V Bogina, A Hartman, T Kuflik, A Shulner-Tal - International Journal of …, 2022 - Springer
This paper discusses educating stakeholders of algorithmic systems (systems that apply
Artificial Intelligence/Machine learning algorithms) in the areas of algorithmic fairness …

On the concept of transparency: A systematic literature review

P Ofem, B Isong, F Lugayizi - IEEE Access, 2022 - ieeexplore.ieee.org
Over a decade since transparency was introduced as a first-class concept in computing,
transparency is still an emerging concept that is quite poorly understood. Also, despite …

Toward a maturity model for digital business ecosystems from an it perspective

R Ehrensperger, C Sauerwein… - 2021 IEEE 25th …, 2021 - ieeexplore.ieee.org
The digital transformation affects longstanding business models and leads to competition
not only between enterprises but also between supply chains and networks. The concept of …

Assessing transparency in eGovernment electronic processes

J Hochstetter, J Diaz, M Dieguez, R Espinosa… - IEEE …, 2021 - ieeexplore.ieee.org
Context. The electronic government has become a trend for transforming public
management to comply with the performance of an efficient, modern state. The processes for …

A transparency maturity model for government software tenders

J Hochstetter, C Vairetti, C Cares, MG Ojeda… - IEEE …, 2021 - ieeexplore.ieee.org
Over the last two decades, governments have increased their investment in information
technology to improve the use of public resources, using public electronic procurement …

Nfrfinder: a knowledge based strategy for mining non-functional requirements

RLQ Portugal, T Li, L Silva, E Almentero… - Proceedings of the …, 2018 - dl.acm.org
A challenge in requirements elicitation is to identify quality requirements, ie non-functional
requirements (hereafter, NFR). In general, stakeholders need NFRs, but these requirements …

Honest Computing: Achieving demonstrable data lineage and provenance for driving data and process-sensitive policies

F Guitton, A Oehmichen, É Bossé, Y Guo - arXiv preprint arXiv:2407.14390, 2024 - arxiv.org
Data is the foundation of any scientific, industrial or commercial process. Its journey typically
flows from collection to transport, storage, management and processing. While best …

Explainability in a time of socially responsible software

RLQ Portugal, LM Cysneiros… - 2022 IEEE 30th …, 2022 - ieeexplore.ieee.org
[Context & Motivation] Satisficing Explainability, as a Non-Functional Requirement, is posed
to be an increasing social demand.[Question/Problem] Exploring how this quality should be …

Stakeholders' transparency requirements in the software engineering process

P Ofem, B Isong, F Lugayizi - IECON 2022–48th Annual …, 2022 - ieeexplore.ieee.org
Transparency remains a new and emerging concept in software engineering that the
stakeholders of a software system, especially developers, must deal with during the software …

[PDF][PDF] Implementing Accuracy for Responsible AI in Newsrooms

RLQ Portugal, J Delle Ville, L Antonelli - wer.inf.puc-rio.br
This paper explores the intersection between software development and journalism,
highlighting the fundamental importance of implementing nonfunctional requirements to …