AI Safety Connect in New Delhi: What CX and EX Leaders Must Learn About Trust, Governance, and the Future of AI
Picture this.
Your team rolls out a new AI-powered assistant.
It promises faster resolution and lower costs.
Your board celebrates.
But customers hesitate.
Employees bypass it.
Regulators start asking questions.
Trust breaks before value lands.
Now zoom out.
On 18 February 2026, nearly 250 global leaders gathered in New Delhi at AI Safety Connect (AISC) to address a similar risk—at planetary scale. The convening, co-hosted with the International Association for Safe and Ethical AI and supported by Minderoo Foundation, focused on advancing international AI safety coordination during the India AI Impact Summit.
For CX and EX leaders, this was not a policy event.
It was a warning signal.
Because AI safety is becoming a customer experience issue.
AI safety ensures AI systems are reliable, aligned, secure, and trustworthy. Without it, customer trust collapses before ROI materializes.
At the New Delhi convening, Nicolas Miailhe, Co-Founder of AISC, set the tone:
That statement should concern every CX leader deploying generative AI in support, marketing, analytics, or personalization.
If your customers sense unpredictability, bias, or opacity, they disengage.
And disengagement is the most expensive failure in customer experience.
It marked the first major global AI safety convening in the Global South, signaling a shift toward inclusive governance.
This wasn’t another Silicon Valley conversation.
India’s scale, linguistic diversity, and digital public infrastructure positioned it as a central actor in shaping AI’s global trajectory.
Former India G20 Sherpa Amitabh Kant emphasized equitable deployment:
For CX leaders, that translates into a core truth:
If your AI excludes segments of customers, it fails strategically.
Inclusion is not branding.
It is market expansion.
The risk is not just model failure. It is trust fragmentation across journeys, teams, and markets.
The convening highlighted five themes. Three are directly relevant to CX/EX leaders:
Dr. Eileen Donahoe, Founder of Sympatico Ventures, reframed safety:
Trust is no longer a soft metric.
It is a prerequisite for AI adoption.

To move from theory to execution, CX leaders need operational structure.
Here is a five-layer model inspired by themes from AI Safety Connect.
Make AI explainable at every touchpoint.
Customers must understand:
Action:
Embed AI disclosure language into journey maps.
Update scripts and digital interfaces proactively.
Adopt proportionate evaluation methods aligned to use-case risk.
Lucilla Sioli of the European AI Office noted voluntary codes and risk-targeted evaluations are emerging standards.
CX implication:
Create a risk-tier matrix:
| AI Use Case | Customer Impact | Required Oversight |
|---|---|---|
| FAQ Bot | Low | Periodic QA review |
| Personalization Engine | Medium | Bias testing quarterly |
| Decision Automation | High | Human-in-loop + audit logs |
Break silos between CX, legal, IT, compliance, and data science.
Journey fragmentation often stems from internal fragmentation.
Establish:
Dr. Andrew Forrest of Minderoo Foundation warned:
Translate safety into measurable CX metrics:
What gets measured gets resourced.
Netherlands Prime Minister Dick Schoof highlighted the role of middle powers in shaping governance.
For global CX teams, this means:
Consistency builds brand equity.
Fragmentation destroys it.
Employees are your first AI customers. If they distrust it, external adoption fails.
During a fireside chat, Turing Award laureate Yoshua Bengio warned AI systems may soon perform most cognitive tasks.
That shifts employee psychology.
EX risks include:
Mitigation playbook:
Safety is cultural before technical.
Across industries, CXQuest has observed a repeating failure loop:
AI Safety Connect signals a shift toward governance-first design.
The companies represented—Microsoft, Google DeepMind, AWS, and the Frontier Model Forum—are now integrating safety frameworks earlier in development cycles.
CX leaders must do the same.
1. Treating AI safety as compliance only
Safety is a growth enabler, not a constraint.
2. Over-relying on vendors
Third-party AI still impacts your brand trust.
3. Ignoring edge cases
Rare failures become viral crises.
4. Lack of executive ownership
AI governance without a C-level sponsor fails.
The message from AI Safety Connect was clear:
The future of AI is not about speed alone.
It is about coordination.
Unsafe AI erodes trust. Trust erosion reduces repeat engagement and lifetime value.
Yes. Risk scales with exposure, not size. Governance can be lightweight but must be structured.
Track disclosure clarity, escalation rates, sentiment analysis, and trust-index surveys.
They shape standards collectively. Global brands must align with these emerging norms.
Absolutely. These forums shape regulatory and trust expectations that impact customer strategy.
AI Safety Connect in New Delhi brought 250 global leaders together to coordinate AI safety standards. For CX leaders, the message was urgent: AI trust determines adoption.
As AI systems accelerate toward AGI-level capabilities, governance gaps widen. Speakers emphasized inclusion, transnational cooperation, and measurable safety standards.
For customer experience teams, AI safety is no longer optional. It shapes trust, loyalty, and brand resilience.
Implement risk-tier frameworks. Break internal silos. Measure safety metrics. Align globally.
Because the future of AI will not be decided by capability alone.
It will be decided by trust.
The post AI Safety Connect: Why Global AI Governance Now Matters for CX Leaders appeared first on CX Quest.


