Spotlight:

Ethical AI: whose values?

Leadership insight

Ethics isn't a checkbox - it's a differentiator. Ethical AI practices build trust, reduce risk, and enhance brand equity.

The ethics and values of Artificial Intelligence

by Filippo Sassi, Head of AI Labs, Version 1

Challenges with alignment in a divided tech world.

'Alignment is not just a technical puzzle for engineers. It is a cultural, political, and philosophical challenge that cuts across borders.'

Filippo Sassi

Risks

Bias and representation

Western-centric training data marginalises other cultures
Risk of Western bias in global deployments
Translation systems lose cultural nuance

Content moderation complexity

Regional differences in acceptable content
Multilingual moderation remains unsolved
What's legal in one region may be offensive in another

Regulatory divergence

EU AI Act vs China's AI regulations vs U.S. voluntary frameworks
Enterprises must localise ethical compliance
No universal standard for AI ethics

Emerging solutions

Contextual AI

Systems adapting ethical frameworks by cultural context

Federated ethics

Regional standards with maintained interoperability

Cultural alignment

Training incorporating diverse perspectives

Frontier models

Global governance