Collaborative AI Partnerships for Justice: Lessons from Multi-Sector Security Research Projects in Austria (PID074)

1.30pm – 2pm GMT, 29 October 2026 ‐ 30 mins

Room: Meeting Room 2B (Level 3)

Parallel Workshops

How can artificial intelligence support safer, more efficient and more rehabilitative correctional systems — without compromising legal, ethical or human rights standards?

This presentation explores lessons from Austrian multi-sector security research projects. These projects bring together TU Wien, the Federal Ministry of Justice, the Federal Ministry of Finance, industry partners and social science expertise to develop AI-supported solutions for correctional and justice-related environments.

Rather than presenting AI as a standalone technology, the session focuses on how collaborative partnerships can turn innovation into practical, trusted and implementable solutions. Drawing on concrete project experience, it will show how secure digital communication, multilingual speech recognition, automated transcription, intelligent monitoring, interoperable information systems and video analytics can reduce workload, improve information availability and support consistent decision-making.

The session will also address the conditions that make such innovation possible: early practitioner involvement, clear governance and data-sharing frameworks, legal and ethical oversight, social-scientific evaluation and long-term cooperation between public authorities, research institutions and industry.

Participants will gain insight into a practical partnership model for responsible AI in correctional settings, aligned with the conference theme of partnerships in a modern corrections landscape. The session will show how collaboration between public authorities, academia, industry and social science partners can strengthen operational capacity, support evidence-informed practice, improve information sharing and help correctional systems respond to growing complexity. It will be relevant for practitioners, policymakers, researchers and technology partners interested in digital transformation, correctional innovation, institutional trust and responsible AI in sensitive justice environments.