​AI Tech Circle​

Welcome to your weekly AI Newsletter from ​AITechCircle!

This newsletter has become an essential resource for me and many others in the AI community. It has practical insights that will immediately boost your work or business.

Dive into this week’s updates, and take a moment to share them with a friend or colleague who could gain from these valuable insights!

Today at a Glance:

• AI Governance Framework
• AI Weekly news and updates covering newly released LLMs

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AI Governance Framework in Action

A few months back, I had a chance to work with an organization. Their key question was, what should we be doing to ensure AI governance is in place?

We had a long discussion on the AI Governance areas, starting with regulations and what any organization should be doing.

I thought of expanding this topic and imagining myself as someone responsible for creating AI governance for an organization.

What should I be following?

So here are my steps and the artifacts for creating an AI Governance Framework or guidelines for a Model organization. I have shared these with them, and after a few sittings and conversations, an early version was ready to baseline as AI Governance Framework.

I am sharing the initial work as, in reality, it was improved a lot.

As a First Step:

Before you start reading below, I strongly suggest you read these earlier editions:

1. ​Diaries from the Field—Building Ethically Responsible AI Enterprise Solution​
2. ​Building a Game-Changing AI Strategy: Step-by-Step Guide and Exercises for Your Organization​

Now, it's best to start below:

AI Governance Framework Creation:

Organizations must develop a robust AI governance framework to ensure ethical and responsible deployment of artificial intelligence systems. This framework should align with the organization’s values, comply with legal standards, and address societal expectations.

Here’s a comprehensive approach to building such a framework

Below is a detailed structure for creating an AI Governance Framework, complete with content, exercises, and processes to ensure responsible AI development and deployment, which was followed to create.

Model/Dummy Organization: Public Works Department

1. Define the AI Governance Objectives

AI governance ensures that public sector organizations use artificial intelligence responsibly, effectively, and in a way that benefits society. It provides a structured approach to managing risks, maintaining public trust, and meeting legal and ethical requirements. Governance also ensures that AI aligns with the mission of serving citizens fairly and equitably.

Governance Goals:

• Ethical Compliance: Ensure all AI systems respect privacy, fairness, and transparency standards.
• Risk Mitigation: Minimize biases, inaccurate predictions, and unintended outcomes.
• Alignment with Values: Design AI systems that align with the organization’s goals and uphold its principles.
• Accountability: Clearly define roles and responsibilities to ensure decisions made by AI are traceable and auditable.

Exercises:

• Mission Alignment Workshop: Bring stakeholders together to align governance goals with the organization’s mission.

• Scenario Planning: Identify potential ethical dilemmas AI systems may encounter and document desired outcomes.

2. Establish Ethical Principles

3. Define Governance Structures

4. Develop Policies and Procedures

5. Implement Training Programs

6. Engage Stakeholders

7. Monitor and Evaluate AI Systems

8. Ensure Continuous Improvement

9. Build a Reporting System

Deliverables for the Framework

1. Governance Charter: Document outlining ethical principles, governance structures, and responsibilities.
2. Policies and Procedures Manual: Comprehensive guide for data handling, model validation, and risk management.
3. Training Materials: Interactive modules and guides for AI ethics and governance.
4. Monitoring Dashboard: Real-time dashboard tracking performance and compliance metrics.
5. Stakeholder Engagement Plan: Strategy for involving internal and external stakeholders in governance.

Industry and Regulatory Foundations for AI Governance:

I liked the whitepaper published by the World Economic Forum in partnership with Accenture, 'Governance in the Age of Generative AI: A 360° Approach for Resilient Policy and Regulation.'​

It presents a comprehensive framework to assist in navigating the complexities of generative AI. The framework is structured around three key pillars:

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1. Harness Past: Evaluate and adapt existing regulations to address challenges introduced by generative AI, ensuring current legal structures are effectively applied and any regulatory gaps are identified and filled.
2. Build Present: Promote a collaborative, whole-of-society approach to AI governance, engaging stakeholders across industry, civil society, and academia to foster knowledge sharing and interdisciplinary cooperation.
3. Plan Future: Develop forward-looking strategies incorporating preparedness and agility, including investments in AI upskilling, horizon scanning for emerging risks, and international cooperation to align standards and facilitate knowledge exchange.

Implementing this 360° governance framework aims to balance the promotion of AI innovation with the mitigation of associated risks, ensuring that generative AI serves the public interest while upholding ethical standards and human rights.

Call for Action:

Based on my thoughts, research, and observations, I would like you to reflect on how you are implementing the AI Governance framework in your organization

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Weekly News & Updates...

Last week's AI breakthroughs marked another leap forward in the tech revolution.

1. Nvidia released ​Fugatto​ (Foundational Generative Audio Transformer Opus), which generates or transforms any mix of music, voices, and sounds described with prompts using any combination of text and audio files. link​
2. Llama Guard 3 Vision, a multimodal LLM-based safeguard for human-AI conversations that involves image understanding: it can be used to safeguard content for both multimodal LLM inputs (prompt classification) and outputs (response classification) link​

The Cloud: the backbone of the AI revolution

• Agentic AI: The next evolution of artificial intelligence link​

Chief AI Officer (CAIO) Corner:

Chief Data Officers Call for Governmentwide AI Strategy link​

The Opportunity...

Podcast:

• This week's Open Tech Talks episode 149 is "Tips for Adopting AI and LLMs in Business: Lessons from Michael Vandi" The CEO, Addy AI

Apple | Spotify | Amazon Music ​

Events:

• ​Global AI Show, Dec 12, 13, 2024, Dubai, UAE

Earlier week's Post:

And that’s a wrap!

This week's content is minimized due to the holiday period; thank you, as always, for taking the time to read.

I’d love to hear your thoughts. Hit reply and let me know what you find most valuable this week! Your feedback means a lot.

Until next week,

Kashif Manzoor

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