Responsible AI Beyond Compliance: Designing AI-Enabled Work That Humans Can Trust - Dr Ashwin Mehta

As AI capabilities advance from assistive tools toward autonomous systems and agents, organisations face a new challenge: responsibility is no longer just about what AI can do, but about how it reshapes human work.

In this session, Dr. Ashwin Mehta explores why many current approaches to responsible AI fall short. Rather than focusing on ethics principles or regulatory compliance, he examines responsibility as an emergent property of organisational systems shaped by decision rights, data flows, incentives, and the interaction between humans and intelligent machines. Drawing on research and real-world examples across industries, the session highlights how AI can unintentionally concentrate power, obscure accountability, alter skill requirements, and change what “good performance” means. It also explores what organisations must do to ensure AI augments human capability rather than eroding trust, agency, or safety.

Attendees will gain a clearer understanding of how responsible AI must be designed into work itself, not layered on afterwards, and what this means for learning, skills development, and organisational capability in an AI-enabled future.

Key Topics Include:

• Why ethics frameworks alone cannot ensure responsible AI outcomes
• How AI changes decision-making, autonomy, and accountability in practice
• The hidden organisational risks of deploying autonomous systems
• Designing workflows where humans and AI collaborate safely and effectively
• What responsible AI means for skills, capability building, and learning functions
• How L&D can help organisations adopt AI without undermining trust or performance