World ethical data foundation publishes "Me-We-It: Open standard for responsible AI"

The World Ethical Data Foundation has published an open standard for responsible AI designed to “clarify the process of building AI by exposing the steps that go into creating it responsibly”.

The Open Suggestions Framework is a free online forum allowing users, developers, technologists, data scientists and others to build upon suggestions, approaches and share knowledge, clarifying processes and information relating to the build, testing and development of AI to ensure accountability without restricting innovation.

It is hoped the Framework will act as considerations that will be used by everyone to ensure ethical development of AI, evolving and updating with suggestions and amendments and setting an actionable standard.

Key Takeaways

Here are some key points to note:

• Me-We-It is defined as:

Me - The questions each individual who is working on the AI should ask themselves before they start and as they work through the process.

We - The questions the group should ask themselves — in particular, to define the diversity required to reduce as much human bias as possible.

It - The questions we should ask individuals and the group as they relate to the model being created and the impact it can have on our world.

• These are split into 3 key steps and the Me-We-It questions to be asked at each Step are:

Me - what are the questions asked of you and how do the answers evolve?

We – what are the questions asked of the group and how do the answers evolve?

It - what are the questions asked of the algorithm and how do the answers evolve?

• Steps:

1. Training – Data Selection and Ingestion
2. Building – Creation or Selection of Algorithms
3. Testing – Managing Test Data and Tagging

Our View

The new open suggestions framework is available for immediate use and is hope will encourage developers, users and other interested parties to engage and develop the framework to provide a consistent standard for responsible AI and promoting discussion and engagement throughout the life cycle of the process.

It is designed to ensure accountability for the development of AI, providing an open and transparent source code repository with open access and contribution.

Other companies have their own standards for AI currently and this is hoped to bring a standardised, developing way of working with AI with openness and transparency allowing suggestions, contributions and achieving better AI solutions. This is a new framework and the engagement remains to be seen.