Intelligent CIO North America Issue 51 | Page 83

FINAL WORD
The key principles of trustworthy AI are privacy , safety and security , transparency and nondiscrimination . Trustworthy AI models should avoid unintended biases and discrimination , comply with regulations and safeguard data , and perform as intended . 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 .
Transparency is a characteristic of trust . For creators , users , and stakeholders to trust AI models , they must understand how they work . Best practice is to describe how the model was trained and identify any known risks . Not only does this ensure that the correct models 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 ?
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 .
Up and down the value chain , all stakeholders benefit from transparent AI . That is why at NVIDIA ,
Without model cards , it is difficult to determine whether a model is suitable for a particular
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