Project description
Working on a new roadmap for AI
Advances in AI are not only creating employment opportunities but transforming the world of work. While some warn AI will take jobs away and result in massive unemployment, others argue AI will improve working conditions and enable innovation. Both camps seem to ignore that the future of work is still open: this future very much depends on how AI is deployed in organisations. In this context, the EU-funded RESP-AI project will develop a roadmap to guide organisations in responsibly transforming work when adopting AI. Combining cutting-edge qualitative, quantitative and conceptual methods, the project will study AI-driven transformation of work across multiple sectors.
Objective
While there is no doubt that artificial intelligence (AI) will bring about an unprecedented transformation of work, researchers are still hotly debating how AI will transform work. The AI-pessimists warn against massive unemployment and the risks that AI deskills and enslaves humans. The AI-optimists laud AI’s potential to improve working lives and to enable innovating as never before. Both camps seem to ignore that the future of work is still open: this future very much depends on how AI is deployed in organizations. The future of work can be bright for both organizations and workers if organizations start right now responsibly reskilling and retraining workers to collaborate with AI, unleashing the extraordinary innovative potential of this new form of collaborations while providing workers with more meaningful work. Today, there is, however, close to no scientific work to guide organizations in responsibly transforming work when adopting AI. My interdisciplinary research project addresses this urgent gap. Combining innovative and cutting-edge qualitative, quantitative, and conceptual methods, I will deliver three scientific papers and a roadmap to fulfill two broad objectives. My first objective is to provide an in-depth understanding of the state of affairs regarding the AI-driven transformation of work in multiple organizations and across multiple sectors (How is work transforming? How is this transformation affecting workers? How responsible has the transformation been so far?). Then, based on a good grasp of both organizations’ and workers’ needs linked to the AI-driven transformation of work, my second objective is to provide a roadmap to guide managers on how to transform work responsibly to unleash AI innovative potential and ensure a bright future for workers. The project is not only highly scholarly innovative, it is also highly relevant for the competiveness of EU firms and for EU workers (special attention will be paid to women).
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences economics and business economics
- social sciences sociology industrial relations
- social sciences economics and business business and management
- social sciences sociology social issues unemployment
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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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.
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.
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.
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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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.
3062 PA Rotterdam
Netherlands
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.