FINAL WORD
What do we mean by trust and transparency , in relation to AI ?
As the adage goes , trust is earned in drops and lost in buckets . Trust in AI cannot be boiled down to just one action or approach ; it is a framework which continually builds and maintains trust . Trustworthy AI is an approach to AI development that prioritizes safety and transparency as the foundation – it must be built into every aspect of the value chain and cannot be left as an afterthought .
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 .
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
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