Talks & Use Cases Library

Generative AI can amplify election misinformation, challenging democratic trust while demanding safeguards that protect free expression.

Using generative AI in communications while protecting trust, creative rights, privacy and inclusive representation.

AI helps test and tune 18,000 Candy Crush levels while balancing operational efficiency, human creativity and player wellbeing.

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

Enterprises use content provenance and cybersecurity controls to identify AI-generated material and protect it against evolving threats.

Addressing how AI can concentrate power, deepen global inequality and weaken democratic institutions.

Integrating AI into innovation while protecting privacy, reducing unfair bias and making its use transparent and inclusive.

Helping teenagers use AI chatbots safely while building the skills to question answers and protect personal information.

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

Using generative AI for brand content while respecting copyright, informing audiences and avoiding unfair marketing.

Students build AI prototypes for social and environmental challenges while learning to embed ethics into design.

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.

Using AI in work and education while protecting fairness, human agency and opportunities to learn.

Human-like AI in games and interfaces can improve engagement while risking manipulation, emotional dependency and reduced human agency.

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.

Helping young people critically assess AI and develop leadership grounded in human rights and ethical responsibility.

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

Turning shared reflection on AI ethics into practical guidance for responsible AI development and use.

AI companions and emotion-responsive interfaces test whether consent remains meaningful when systems subtly influence users’ choices.

Using AI to identify and support vulnerable financial customers without undermining privacy, fairness or human judgment.

Building public-sector AI agents that protect personal data, preserve institutional control and keep consequential decisions under meaningful human oversight.

Equipping young people to help shape responsible AI through human rights, safety and ethics education.

Using AI to detect manipulative interface design and support consumer protection compliance and remediation.

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.