[HTML][HTML] Requirements practices and gaps when engineering human-centered Artificial Intelligence systems
Abstract Context: Engineering Artificial Intelligence (AI) software is a relatively new area with
many challenges, unknowns, and limited proven best practices. Big companies such as …
many challenges, unknowns, and limited proven best practices. Big companies such as …
Requirements Practices and Gaps When Engineering Human-Centered Artificial Intelligence Systems
K Ahmad, M Abdelrazek, C Arora, M Bano… - arXiv e …, 2023 - ui.adsabs.harvard.edu
Abstract [Context] Engineering Artificial Intelligence (AI) software is a relatively new area
with many challenges, unknowns, and limited proven best practices. Big companies such as …
with many challenges, unknowns, and limited proven best practices. Big companies such as …
[引用][C] Requirements practices and gaps when engineering human-centered Artificial Intelligence systems
K Ahmad, M Abdelrazek, C Arora, M Bano, J Grundy - 2023 - dro.deakin.edu.au
[PDF][PDF] Requirements practices and gaps when engineering human-centered Artificial Intelligence systems
K Ahmad, M Abdelrazek, C Arora… - Applied Soft …, 2023 - researchmgt.monash.edu
abstract Context: Engineering Artificial Intelligence (AI) software is a relatively new area with
many challenges, unknowns, and limited proven best practices. Big companies such as …
many challenges, unknowns, and limited proven best practices. Big companies such as …
Requirements practices and gaps when engineering human-centered Artificial Intelligence systems
K Ahmad, M Abdelrazek, C Arora… - Applied Soft …, 2023 - research.monash.edu
Abstract Context: Engineering Artificial Intelligence (AI) software is a relatively new area with
many challenges, unknowns, and limited proven best practices. Big companies such as …
many challenges, unknowns, and limited proven best practices. Big companies such as …
Requirements practices and gaps when engineering human-centered Artificial Intelligence systems
K Ahmad, M Abdelrazek, C Arora, M Bano… - Applied Soft …, 2023 - opus.lib.uts.edu.au
Context: Engineering Artificial Intelligence (AI) software is a relatively new area with many
challenges, unknowns, and limited proven best practices. Big companies such as Google …
challenges, unknowns, and limited proven best practices. Big companies such as Google …
Requirements Practices and Gaps When Engineering Human-Centered Artificial Intelligence Systems
K Ahmad, M Abdelrazek, C Arora, M Bano… - arXiv preprint arXiv …, 2023 - arxiv.org
[Context] Engineering Artificial Intelligence (AI) software is a relatively new area with many
challenges, unknowns, and limited proven best practices. Big companies such as Google …
challenges, unknowns, and limited proven best practices. Big companies such as Google …
Requirements practices and gaps when engineering human-centered Artificial Intelligence systems
K Ahmad, M Abdelrazek, C Arora, M Bano, J Grundy - 2023 - dl.acm.org
Abstract Context: Engineering Artificial Intelligence (AI) software is a relatively new area with
many challenges, unknowns, and limited proven best practices. Big companies such as …
many challenges, unknowns, and limited proven best practices. Big companies such as …
[引用][C] Requirements practices and gaps when engineering human-centered Artificial Intelligence systems
K Ahmad, M Abdelrazek, C Arora, M Bano, J Grundy - 2023 - dro.deakin.edu.au