Achieving AI Trust

⏱️ Your Morning Brief (TL;DR)

Welcome back,

We focus a lot on AI experimentation and deployments here.

But many times, AI projects are held back due to concerns around data accuracy, privacy, and regulations. 

Addressing these areas are key to building trusted systems and unlocking opportunities with customers and stakeholders.

This week, we unpack Deloittes recent report and discuss the frameworks for deploying trusted and secure AI systems.

If you’re among the 38% of executives who highlight regulations and risks as the top blockers to deploying AI, then buckle up.

In this email, you’ll find:

• A brief AI governance framework

• 4 focus areas for AI governance

• Is the AI experimentation era over?

• 8 curated reads on AI

Let’s dive in 💦

 💡 This Week’s Deep Dive

A framework for managing AI risks

While many executives claim to have AI governance frameworks, fewer have fully operationalized them.

ISO 42001 is the first global framework for AI governance and risk management across the AI development life cycle and overlap with requirements found in other regulations and standards in the EU and NIST. .

The frameworks essential areas for managing AI:

1. Governance structures: Establish clear oversight and accountability.

2. Risk management protocols: Defining processes to identify, assess, and mitigate potential risks and impacts.

3. Guidelines: Establish criteria for designing AI systems that are transparent, fair, and unbiased

4. Compliance mechanisms: Maintain adherence to evolving legal and regulatory standards

GPTLDR Takeaways

Getting certified demonstrate your companies maturity with AI and gives you and your board peace of mind. —

The report shows common themes between AI governance frameworks that are centered around transparency, accountability, robustness.

Additionally, it sets clear standards and operating procedures that will unblock your teams to run and deploy AI initiatives.

Early alignment on certs like ISO 42001 will pay long term dividends.

Get the tools, gain a teammate

• Impress clients with online proposals, contracts, and payments.

• Simplify your workload, workflow, and workweek with AI.

• Get the behind-the-scenes business partner you deserve.

Try HoneyBook for free

📚 Interesting Reads

• Slack introduces 25+ AI apps into its marketplace (Link)

• FT - AI is moving from co-pilot to autopilot (Link)

• How AI focused change management can build trust and accelerate business value (Link)

• AI’s biggest opportunity isn’t new models, it’s unlocking old data (Link)

• 5 creative AI use cases for customer engagement (Link)

• Video - Why the future favours ‘learn-it-alls’ over ‘know-it-alls’ (Link)

• Bain on GenAI’s uptake is unprecedented despite roadblocks (Link)

• Duolingo adds 148 courses as AI replaces human contractors (Link)

 🤔 AI Thoughts

GPTLDR’s take - Armand leads the AI Platform product at IBM. Sure, the statement above may be selling us on IBMs capabilities, but if you read between the lines, operationalization depends on 5 connected dimensions:

1. Focus on business results, not technology demos. Deploy pre-built AI agents for specific departments like HR and sales where they can immediately solve real problems.

2. Connect everything. The value multiplies when your AI agents work with your existing business systems rather than sitting apart from them.

3. Watch what they're doing. You wouldn't deploy human workers without supervision and feedback systems - the same applies to AI agents.

4. Stay flexible. Build in ways to switch AI models and providers as the technology evolves without starting over.

5. Meet your needs, your way. Deploy where it makes sense for your business whether it’s cloud, on-premise, or hybrid.

🗳️ This Week’s Poll

 ➜ Until Next Week

Aligning to ISO 42001 is a strategic step towards managing the evolving landscape of AI risks and regulation, demonstrating maturity, and building trust with customers and the market

Stay curious,
The GPTLDR team

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