As digital twins and industrial AI become more embedded in operations, the ethical and legal implications are coming sharply into focus. Panel 8 examined the privacy challenges and regulatory consequences of moving towards more visual and data-driven ways of working, stressing the importance of adopting a systems perspective to define clear boundaries for responsible AI strategies.
The conversation addressed the concept of “safe generative AI”, with a strong focus on risks such as data and intellectual property leakage, misinformation, and cyber security threats. Panellists emphasised the need for effective governance frameworks, particularly around privacy and data management, to ensure accountability and encourage collaboration across the industry.
Discussions also highlighted how technical robustness and safety can be supported through structured approaches like barrier or “bow tie” models for prevention and mitigation. By tackling issues such as data bias, diversity, and representation, the panel underscored that avoiding AI misrepresentation is just as important as advancing its technical capabilities. The session reinforced that ethical considerations must underpin every step of digital twin and AI adoption.
Speakers
- Michael Hotaling, Technology Scouting, Innovations & Ventures Executive Advisor, ExxonMobil
- Dr Michael Wiedau, Chairman of the Board, Data Excellence Expert, DEXPI & Evonik
- Meaghan Snethlage, VP of Business Development, VEERUM
- Rishabh Chopra, AI & Emerging Digital Technologies Lead, Shell
Moderator
