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3653. The 'je ne sais quoi' of algorithms that foster human centric analytics design
Invited abstract in session TC-13: Impact of AI on Soft OR - B, stream Soft OR and Problem Structuring Methods.
Tuesday, 12:30-14:00Room: 15 (building: 116)
Authors (first author is the speaker)
| 1. | Christina Phillips
|
| LBS, Liverpool John Moores University |
Abstract
There have been developments recently in interpretable and explainable AI as well as moves to understand ways to do human centred analytics design. As technology and the use of algorithms in business become more ubiquitous we need to understand what parameters in algorithm design can facilitate human centred approaches. Ways to do this ethically and sustainably become ever more pressing as business moves into a world of ESG reporting and increasingly cybernetic systems.
This talk initially outlines the parameters (defined by prior research) needed by algorithms and AI/ML techniques that make them amenable to integration with human practice. We then take a quick look at the philosophical underpinnings needed by research into cross paradigm work. This sets the stage for a tour of some currently available mathematical tools and techniques that can work with human practice and the contexts they are likely to work under.
Keywords
- Analytics and Data Science
- Practice of OR
- Ethics
Status: accepted
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