Webinar: Who Owns AI Risk in Your Business?
Who Owns AI Risk in Your Business? Many small and medium-sized companies use AI and digital systems in their daily operations. But who is responsible when data is wrong, systems fail, or AI-driven decisions create risk?
This webinar explains what Trustworthy AI means in practice and how companies can stay secure, resilient and compliant when using AI and connected systems.
About the event
As AI and connected systems become part of business-critical operations, responsibility for security and reliability often spans across IT, operations, suppliers and cloud providers — creating hidden risks and unclear ownership.
Based on insights from the TRUST research project, this webinar explores practical challenges related to Trustworthy AI, resilient wireless communication and connected systems.
The webinar also highlights emerging threats targeting Global Navigation Satellite Systems (GNSS), which provide positioning, navigation and timing (PNT) services used in smartphones, transportation and critical infrastructure.
Using a Deep Q-Network (DQN)-based machine learning approach, the presentation demonstrates how GNSS spoofing attacks and signal disturbances can be detected and classified, using examples from recent real-world incidents.
What is Trustworthy AI?
Trustworthy AI means AI systems you can understand, control and take responsibility for.
In practice, this means:
- Understanding why AI makes a decision
- Knowing who is responsible across systems and suppliers
- Verifying data, signals and AI outputs
- Having fallback solutions when systems or connectivity fail
- Trustworthy AI is about reducing business and security risk, not advanced technology.
What you will learn
- Key security challenges in AI‑enabled and connected systems
- What operational resilience means in practice
- Why unclear ownership increases cyber risk
- How explainable AI improves trust and control
- What the EU AI Act means for SMEs
- How machine learning can detect GNSS spoofing and signal disturbances
- Lessons learned from recent real-world GNSS disruption incidents
This event is part of the research project TRUST- Enhancing Wireless Communication & Sensing with Secure, Resilient, and Trustworthy Solutions, funded with support from Interreg Aurora EU programme. The project is a collaboration between Mid Sweden University and University of Vaasa.
📅 Date: May 26
🕒 Time: 09:00 CET and 10:00 EET
📝 Register: Sign up using the registration form below to receive information on how to join the webinar.
Speakers
Kyi Thar, Mid Sweden University
Kyi Thar works as a senior lecturer in computer engineering at Mid Sweden University's research center STC. Expert in machine learning and deep learning and one of the driving forces behind the research project TRUST - which develops the secure data communication of the future using AI.
Noman Chowdhury, University of Vaasa
Noman Chowdhury is a doctoral researcher at the University of Vaasa, focusing on spoofing detection, navigation integrity, and resilient positioning systems. His research addresses critical challenges in securing satellite-based navigation against interference and manipulation, particularly in real-world environments. He works on developing advanced machine learning and multi-sensor solutions to ensure the reliability of positioning systems used in transportation, autonomous technologies, and safety-critical applications.
