Talks & Use Cases Library

Integrating quantum computing into AI raises questions about capability, cybersecurity, governance and equitable access.

Designing AI across cultures to reduce bias, empower local communities and avoid reinforcing global inequalities.

Boards can use AI standards to identify hidden AI use, assign responsibility and oversee organisational risks.

Responsible AI starts by asking whether AI should be used, before deciding how to use it.

Embedding privacy and data-protection responsibilities into AI governance.

Using AI to detect money laundering while maintaining reliable data, accountable governance and meaningful human review.

Measuring AI investment value through governance, regulatory readiness and technical quality, rather than financial returns alone.

How EU and California AI transparency rules can shape shared standards for companies operating across borders.

Bringing diverse voices, especially women’s leadership, into AI governance to support trustworthy, equitable, human-centred systems.

Grounding AI governance in evidence and digital rights rather than hype, metaphors and geopolitical competition.

Governing AI, blockchain and quantum technologies to clarify responsibility, protect data rights and serve the public interest.

Governing AI in space requires clear responsibility, security safeguards and transparency across overlapping jurisdictions.