FINAL WORD are being used for appropriate use cases by AI experts , but it also enables stakeholders to understand and use these tools .
How can we improve AI trustworthiness ?
Up and down the value chain , all stakeholders benefit from transparent AI . That is why at NVIDIA , we recognise that the most effective way to enhance AI transparency and demonstrate trustworthiness is to use AI model cards , short documents that provide key information at a glance about machine learning models .
AI model cards can learn a lot from food labels . They should be easy to understand and offer clear insights into the AI model . You don ’ t need to be a chef to see if a certain food product is healthy and you shouldn ’ t have to be an AI developer to understand how a certain AI model works . This means that model cards should be jargon-free and standardised . While we ’ ve seen some progress in the area , we must strive for greater harmonization across the industry . AI tools are already playing a foundational role in our society and therefore it is vital that these tools are democratized .
Without model cards , it is difficult to determine whether a model is suitable for a particular organisation ’ s desired use . Model cards prevent time being needlessly wasted , working backwards to obtain information that should have been passed down the value chain . They also empower organisations and users to make informed decisions according to their needs .
It ’ s true that knowledge begets knowledge . With reference to model cards , there is nothing to be gained from withholding knowledge or attempting to use it as leverage . In fact , we ’ re seeing companies increasingly demand and expect explainability when it comes to AI . When we ’ re dealing with such powerful tools , it ’ s
important to recognise the responsibility that each part of the value chain holds .
Building a transparent and trustworthy future
While there ’ s still progress to be made , we ’ re pleased to see a consensus among those in the industry to implement model cards . NVIDIA ’ s own market research found that 90 % of developers agree that model cards are important . That is why NVIDIA is investing in helping improve model card accessibility and understandability .
NVIDIA is championing the use of model cards , through initiatives such as Model Card ++ in a push to make AI models more transparent . Research has shown that model cards increase model usage . To get the most out of current and future models we need to understand their limits , have visibility on the data they ’ ve been trained on and have clarity on ethical considerations . Model Card ++ also contains information on model version identifiers , license restrictions and other qualitative information . Above all , we must be able to trust AI tools . This is possible through enhancing transparency for users .
When we were younger , we would pick which cereal we wanted based on how colorful the box was or the free toy that came inside . As adults , we understand that to make an informed decision we need to take a look at the underlying information about what ’ s really in the box . In the context of AI models , accessible model cards enable these informed decisions and ultimately empower greater levels of trust in development and deployment . p
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