tgroenwals shared this post · Jun 6

Vinod Bijlani

Jun 5 · archived Jun 6

𝐂𝐨𝐫𝐫𝐞𝐥𝐚𝐭𝐢𝐨𝐧 𝐛𝐞𝐭𝐰𝐞𝐞𝐧 𝐀𝐈 𝐦𝐚𝐭𝐮𝐫𝐢𝐭𝐲 𝐚𝐧𝐝 𝐀𝐈 𝐠𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 𝐢𝐬 𝐡𝐚𝐫𝐝 𝐭𝐨 𝐢𝐠𝐧𝐨𝐫𝐞.

Leading Insurance organizations are not necessarily deploying the most AI Models.

They are building the strongest foundations for trust, oversight, accountability and scale.

Here’s what the leaders are doing differently:

𝐀𝐗𝐀
→ Responsible AI Circle built around fairness, transparency and human oversight
→ Dedicated AI fairness and explainability research teams
→ Governance embedded into every AI project from day one…

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Aslam Ahamed The Intact Financial stat is the one that jumps out - a decade of governed AI in pricing means they've been through three complete model generations under the same framework. Most organisations haven't finished their first governance policy before the model they wrote it for has already been deprecated. The companies treating governance as a constraint are already behind the ones treating it as institutional memory. Jun 5 1 like

Matt Reinsch I increasingly see governance as a competitive advantage rather than a compliance exercise.

The organizations moving fastest with AI are often the ones that have already answered questions around ownership, accountability, validation, and risk.

The goal isn't to govern more AI.

It's to make AI trustworthy enough to deploy at scale. Jun 5 2 likes

tgroenwals shared this post · Jun 3

Vinod Bijlani

Jun 2 · archived Jun 3

𝐖𝐡𝐚𝐭 𝐀𝐈 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 𝐂𝐚𝐧 𝐋𝐞𝐚𝐫𝐧 𝐅𝐫𝐨𝐦 𝐃𝐚𝐭𝐚 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞?

The same mistake.

The same pattern.

Higher stakes.

Twenty years ago, organizations rushed to unlock value from data.

Many scaled before establishing ownership, standards, catalogs, lineage, and governance.

The result?

Years of remediation, compliance challenges, and costly clean-up efforts.

Today, we’re seeing a similar pattern emerge with AI.

Models, copilots, and agents are proliferating across the enterprise, often faster than organizations can establish visibility, accountability, and control.

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Eddie Clifton Well, it's going to have to learn and learn quick because there is legislation from both sides of the Atlantic well, it's going to have to learn and learn quick because there is legislation from both sides of the Atlantic red tape around data governance. If you understand:
Much of what AI delivers is peppered with errors
It can't operate in an air-gapped on-premise environment easily
Rag intensifies the hallucinations.
Jun 2 1 like

Gautam Bhawsar The phrase that stands out: "Governance is what enables scale." Every enterprise wants AI agents, copilots, and automation, but without visibility, accountability, and controls, scaling AI becomes a risk multiplier. The winners won't be those deploying the most AI - they'll be those deploying AI they can trust. Jun 3 1 like

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