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Augmenting Human and Artificial Intelligence to Scale Innovation

Project description

Game-based technologies to scale innovation

European business investment in AI applications has long been sub-optimal due to limited capability and know-how. This has just recently been identified by the EU Commission as a key focus area for coordinated action and investment. The EU-funded AUGMENTED-HUMANS project will provide for 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. The project will focus, among others, on game-based technologies as mediators of engaging interactions.

Objective

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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Keywords

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Programme(s)

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Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-MSCA-IF-2020

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Coordinator

TAMPEREEN KORKEAKOULUSAATIO SR
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 202 680,96
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 202 680,96
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