Knowledge Capture for the Design of a Technology Assessment Tool

Daniela Oliveira, Kimiz Dalkir

2022

Abstract

The design of technology assessment tools is an important Knowledge Management endeavour. Technology assessment is a subject where consensus is far from being achieved. Any project intended to create a technology assessment tool is expected to generate a lot of discussion or criticism. Among the most critical kinds of technology, Artificial Intelligence (AI) is a highly polemic kind of technology. Its impacts are important and multidisciplinary. Moreover, the technology evolves quickly and so do the attitudes toward that technology. Therefore, business owners intending to produce an AI assessment tool should expect extensive discussion of different points of view, but also support the continuation of the discussion throughout time and with different stakeholders. Surprisingly, technology assessment tools developed by business owners have been particularly neglected in the coalescent discussion about AI documentation, not to mention the support to create those tools. To foster a continuous innovation flow, business owners should pay particular attention to how discussions are captured. This paper explores the foundations of knowledge management initiatives to support the design of an artificial intelligence assessment tool at the business owner, in a process that supports continuous discussion and innovation. This article also suggests project aspects and supporting document structure.

Paper Citation

in Harvard Style

Oliveira D. and Dalkir K. (2022). Knowledge Capture for the Design of a Technology Assessment Tool. In Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 2: KEOD; ISBN 978-989-758-614-9, SciTePress, pages 185-192. DOI: 10.5220/0011551400003335

in Bibtex Style

@conference{keod22,
author={Daniela Oliveira and Kimiz Dalkir},
title={Knowledge Capture for the Design of a Technology Assessment Tool},
booktitle={Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 2: KEOD},
year={2022},
pages={185-192},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011551400003335},
isbn={978-989-758-614-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 2: KEOD
TI - Knowledge Capture for the Design of a Technology Assessment Tool
SN - 978-989-758-614-9
AU - Oliveira D.
AU - Dalkir K.
PY - 2022
SP - 185
EP - 192
DO - 10.5220/0011551400003335
PB - SciTePress