Mobile Artificial Intelligence Justice Assistant

In the preceding research project DIGDOK, digitalization potentials of analog, inmate-focused documentation processes were explored. Following the project results, the project MAIJA focuses on researching a mobile digital assistant, the “Mobile Artificial Intelligence Justice Assistant (MAIJA).” The existing data is analyzed in terms of Prison Intelligence to generate new insights. Justice workers should have the possibility to access innovative user interaction patterns directly and contextually on mobile devices in the future. The goal of the MAIJA project is to explore how innovative technologies such as artificial intelligence, object recognition, augmented reality, or biometric identification can be combined in a mobile assistant, especially within the context of a correctional facility.

The intended developments aim to support correctional officers in their everyday work. Therefore, a focus lies in researching technologies that meet the multiple requirements (robustness, authentication, crisis management, etc.) within correctional facilities. This pertains to both the operational domain and the organizational management of processes, along with the associated organization-specific ethical and legal challenges that the use of new technologies particularly entails in corrections.

MAIJA’s objective is to investigate the following artifacts and questions:

1. Object and text recognition through mobile devices and visualization via Augmented Reality (AR)
2. Artificial Intelligence (AI)-based text synthesis
3. AI-based task recognition
4. Context-sensitive assignment of tasks to individuals
5. Situation-based instructions through expert systems
6. Secure, mobile identification of users and validation
7. Automatic briefing for shift handovers

Project Partners

Bundesministerium für Justiz (Bedarfsträger)
FH Technikum Wien
PKE Holding AG
Ascom Deutschland GmbH
VICESSE Research GmbH

Funding

MAIJA is funded by the KIRAS security research program under the program responsibility of the Austrian Research Promotion Agency (FFG) (grant 49450173).