The most comprehensive, pragmatic (and free) framework for #generative #AI

The most comprehensive, pragmatic (and free) framework for #generative #AI


The UK Releases Comprehensive GenAI Framework for Government Use

This is an amazing document?and? a great effort by the UK Government

Although its UK Government specific, the principles apply in general

Its really nice to see this with team led by David Knott ? and?

This is exactly the type of approach we need. Not AI scepticism. Not heavy handed regulation or Banning?AI or Setting limits in?foundation models but a?Pragmatic, forward thinking yet aware of risks and how to mitigate them. UK shows the way globally on this?

Great to see

Interesting my network in US Federal govt pointed me to this?

Thanks thanks to Chris Kraft #fema for sharing

I like the?Principles?

Principle 1: You know what generative AI is and what its limitations are?

Principle 2: You use generative AI lawfully, ethically and responsibly?

Principle 3: You know how to keep generative AI tools secure?

Principle 4: You have meaningful human control at the right stage?

Principle 5: You understand how to manage the full generative AI lifecycle?

Principle 6: You use the right tool for the job?

Principle 7: You are open and collaborative?

Principle 8: You work with commercial colleagues from the start?

Principle 9: You have the skills and expertise that you need to build and use generative AI?

Principle 10: You use these principles alongside your organisation’s policies and have the right assurance in place?

and the approach for?Building generative AI solutions?

Defining the goal?

Identifying use cases?

Use cases to avoid?

Building the team?

Acquiring skills?

Creating the generative AI support structure? and the

approach to building the actual solution?

Core concepts?

Patterns?

Picking your tools?

Getting reliable results?

Testing generative AI solutions?

Data management?

and the use of? generative AI safely and responsibly?

Legal considerations? Example legal issues?

Ethics? Transparency and explainability? Accountability and responsibility? Fairness, bias and discrimination? Information quality and misinformation? Maintaining appropriate human involvement in automated processes? Sustainability and environmental considerations?

Data protection and privacy? Accountability? Lawfulness and purpose limitation? Transparency and individual rights? Fairness? Data minimisation? Storage limitation? Human oversight? Accuracy?

Security? How to deploy generative AI securely? Security risks?

Governance? AI governance board or AI representation on an existing board? Ethics committee? Creating an AI/ML systems inventory? Programme governance in teams and what should be considered

There is a lot of detail

The download link is

The UK Releases Comprehensive GenAI Framework for Government Use


Kevin Hoffman

Making your data meaningful @ Glyde Data Consulting

1 年
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Shanthababu Pandian

Director- Data and AI | Data, AIML and Gen AI Architect | National and International Speaker | Author | Tech Book Reviewer| Blogger( Shantha's AI Views!): Indian Achievers Award 2025 Winner

1 年

Great stuff

Saeed Al Dhaheri

Commissioner| UNESCO co-Chair | AI Ethicist | Thought leader | Author | Certified Data Ethics Facilitator | LinkedIn Top Voice | Public Speaker

1 年

This is really a great step forward towards developing and adopting Generative AI in governments. The principles are all common and based on ethical and responsible development and use of generative AI. I like to see other government adopting this or similar framework. Thanx Ajit Jaokar for sharing

Nicolas Waern - Digital Twin Specialist

Strategy & Innovation Creator - Helping Leaders succeed in the age of AI | Thought Leader | Digital Twins | IoT | Smart Cities | Smart Buildings | Manufacturing | Data Strategies | Healthcare | AI |

1 年

Great share!

Anjali Jain

Author | Co-founder@Erdos Research | AI & machine learning Senior Tutor at University of Oxford| Data architect at Metro Bank

1 年

Thank you Ajit Jaokar , its really useful

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