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Human-AI Engineering for Adults

Authors: André Meyer-Vitali; Wico Mulder;

Human-AI Engineering for Adults

Abstract

The engineering of reliable and trustworthy AI systems needs to mature. While facing unprecedented challenges, there is much to be learned from other engineering disciplines. We focus on the five pillars of (i) Models & Explanations, (ii) Causality & Grounding, (iii) Modularity & Compositionality, (iv) Human Agency & Oversight, and (v) Maturity Models. Based on these pillars, a new AI engineering discipline might emerge, which we aim to support using corresponding methods and tools for ‘Trust by Design’. A use case concerning mobility and energy consumption in an urban context is discussed.

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Netherlands
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Keywords

Software Engineering, Trust, Explainability, Context-Aware Pervasive Systems, Modules, Multi-Agent Systems, Causality, Human-Computer Interaction, Agency, Smart Cities, Artificial Intelligence, Models, Robustness, Maturity Model

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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