What are the public needs for explanability in AI?
Background
The improve transport for the user strategic priority is critical in ensuring the department delivers and maintains a transport system that meets the needs of the public and addresses what they care about most. It puts the needs and expectations of current and potential users (both passengers and freight customers) at the heart of the operation of the transport system and considers about end-to-end journeys, not just individual transport modes. It is focused on ensuring that our infrastructure and the services which use it meet the varied needs of businesses and the public, are attractive, affordable, sustainable, and resilient is a crucial goal for the department.
Next steps
Get in touch with bridgetoresearch@dft.gov.uk
Source
This question was published as part of the set of ARIs in this document:
Related UKRI funded projects
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How to (re)represent it?
AI engines are ubiquitous in our lives: we talk to our mobile phones, ask directions from our sat-navs, and learn new facts and skills with our digital personal assistants. But most of the time, we need to learn how thes...
Funded by: EPSRC
Why might this be relevant?
The project partially answers the question by studying how humans represent information and how machines can do the same, but it does not specifically address the public needs for explainability in AI.
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SimplifAI
SIMPLIFAI - (pronounced simplify) - The project aims to address the challenges surrounding the complex interaction between environmental, social and economic aspects of urban transport movements. It will do this using ad...
Funded by: Innovate UK
Why might this be relevant?
Partially relevant as it addresses challenges in urban transport movements but does not specifically focus on public needs for explainability in AI.
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Combining Qualitative and Quantitative AI data for mobility
Alchera, in partnership with Wordnerds seek to explore collaboration of the most valuable qualitative and quantitative AI analytics in the field of transport, focused on taking action and improving peoples' lives. In thi...
Funded by: Innovate UK
Why might this be relevant?
Partially relevant as it explores collaboration of qualitative and quantitative AI data for mobility, but does not directly address public needs for explainability in AI.