Machine learning and AI have a great theoretical potential to make public service delivery faster, more accurate, and smarter. It opens up avenues to design services hitherto not possible and make the state function in a smoother manner. To properly understand the opportunities and threats, we need actual use cases of such services being designed, deployed, and evaluated.
The goal of the Machine learning and AI-powered public service delivery project is to prototype such services in domains that are of importance to the state. The project will use cases that allow us to learn what are the intended and unintended consequences of deploying self-learning algorithms in public service delivery, how accurate they are and how will public servants react when they are assisted by machine learning and AI-powered support tools. The lessons learned will show if and how fast will the next leap in e-Estonia be driven by smart algorithms.
The Machine learning and AI-powered public service delivery project is funded under the Strengthening of sectoral research and development (RITA, a European Regional Development Fund), Activity 1 “Support for strategic R&D activities” and is conducted by the University of Tartu, Tallinn University of Technology. STACC OÜ and Cybernetica AS. The main role of Cybernetica is to provide its knowledge in privacy-preserving technologies and consult on technical and development-related issues.
The project is funded by the European Regional Development Fund.