HvA, HR and HU: Building the Centre for Responsible Applied AI
Artificial Intelligence (AI) is developing rapidly with far-reaching consequences for the whole of society (all sectors, professions and citizens). Although AI offers new opportunities for institutions and (SME) companies, there are also many questions.
For example, there is demand for research methods to meaningfully implement AI technology in a specific context (e.g. retail and care), taking into account the user and other stakeholders. There are also questions about the design process of AI solutions: how can you take ethical and social issues into account?
Methodology for Responsible Applied AI
Current AI research is mostly fundamental and focused on technology. As such, it hardly provides answers to the questions mentioned above. The three universities of applied sciences in the SPRONG group conduct practice-oriented research into responsible AI solutions for companies and institutions. With these research experiences and results, the SPRONG group aims to develop a Responsible Applied AI methodology that helps to design, develop and implement responsible AI solutions.
Co-creation in Hybrid Learning Environments
To develop this methodology, knowledge building and sharing is needed, which the universities of applied sciences develop together with companies and organisations. The starting point of the project is the development of three hybrid learning environments around the application areas of retail, business services and media. AI developers, problem owners, end users, researchers and students work together in these environments.
The goal is to develop practical tools, instruments, education and training from the learning environment that can be widely used for the application of AI in the relevant sector. Each learning environment is linked to specific courses of the participating universities and practical partners who contribute to the programme. During the SPRONG programme, the number of application areas will be expanded and, where possible, scaled up nationally.
A central supporting infrastructure will be developed, including processes and facilities for data management and strategic human resource management, an IT infrastructure, training courses and an impact model.
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