Augmenting Human and Artificial Intelligence to Scale Innovation

Augmenting Human and Artificial Intelligence to Scale Innovation

Acronym

AUGMENTED-HUMANS

Project description

The rise of artificial intelligence is driving the fourth industrial revolution and is steadily disrupting traditional business models, workplace practices and performance management. Despite the astonishing rate of progress with AI technology, problems and challenges in the current business environment cannot be solved by machines alone and require robust human-machine hybrid solutions; however these are still largely experimental with limited business adoption . A further challenge is that European business investment in AI applications has been sub-optimal due to limited capability and know-how and this has just recently been identified by the EU Commission as a key focus area for co-ordinated action and investment . This proposal highlights a key opportunity to take a human-centred approach to building AI applications that incorporate game-based technologies that have shown great empirical and anecdotal promise in creating AI applications that drive business innovation. To address the challenges of the efficacy of human-machine interactions and AI adoption, in Augmented-Humans I will investigate how we can use game-based technologies (games, gamification, virtual and augmented reality) as mediators of engaging interactions and problem solving between human and machine that generate data, develop insights, facilitate business problem solving, and aid both human and machine learning. The outputs of this project will include the development of reusable game-based technology toolkits and applications for (a) Business systems for end-user engagement, stakeholder collaboration and robust decision support systems, (b) AI engineering and data science in utilising game-based technologies for data generation, machine learning, and developing human-machine collaboration systems for problem solving (e.g. ‘citizen science’ games), and (c) Public engagement applications that engage the public with AI meta issues of usability, awareness, trust and participation.
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Starting year

2022

End year

2024

Granted funding

202 680 €
Coordinator

Amount granted

202 681 €

Funder

European Union

Funding instrument

CAR – Career Restart panel

Framework programme

Horizon 2020 Framework Programme

Call

Programme part
EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions ( H2020-EU.1.3. )
Nurturing excellence by means of cross-border and cross-sector mobility (H2020-EU.1.3.2.)
Topic
Individual Fellowships ( MSCA-IF-2020 )
Call ID
H2020-MSCA-IF-2020

Other information

Funding decision number

101023024

Identified topics

artificial intelligence, machine learning