Building Fairer and More Explainable Solutions With AI Verify

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Dell Technologies is a leading American multinational technology company that develops, manufactures, sells, and supports computers and related products and services. The company helps to shape the future of digital transformation by enabling businesses and consumers worldwide to innovate, grow, and succeed.

Dell tested AI Verify on:

  • AI Model: Light GBM AI model
  • Use Case: This AI model was built for an institution conducting frequent donation drives. The model helps predict the likelihood of recipients contributing funds, considering factors such as their donation history and demographic attributes. Recognising the variability in donor behaviour, where not all are repeat donors and new donors have different propensities for giving, the focus was on identifying prospects – both new and existing – to receive targeted mail. This approach ensures a higher probability of campaign success, concurrently minimising costs associated with mail distribution for the organisation.

Dell Technologies’ positive experience with AI Verify

Utilising sensitive demographic data like race, gender, and age as input features poses the risk of machine learning models associating these factors with specific outcomes. This could potentially result in unfair bias being directed towards marginalised groups. As an organisation that strives to provide trustworthy AI solutions, AI Verify serves as a good starting point in evaluating fairness and performance across different use cases. The relevant metrics churned by AI Verify has helped the Dell team to identify potential biases for the existing and future models.

Dell believes that demonstrating trustworthy AI is important because it helps to build and maintain customer confidence, to reduce compliance costs, and most importantly to mitigate the risk of harm to end users. The AI Verify toolkit provides a unified framework for organisations to implement honest, fair and equitable systems.

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Preview all the questions

1

Your organisation’s background – Could you briefly share your organisation’s background (e.g. sector, goods/services offered, customers), AI solution(s) that has/have been developed/used/deployed in your organisation, and what it is used for (e.g. product recommendation, improving operation efficiency)?

2

Your AI Verify use case – Could you share the AI model and use case that was tested with AI Verify? Which version of AI Verify did you use?

3

Your reasons for using AI Verify – Why did your organisation decide to use AI Verify?

4

Your experience with AI Verify – Could you share your journey in using AI Verify? For example, preparation work for the testing, any challenges faced, and how were they overcome? How did you find the testing process? Did it take long to complete the testing?

5

Your key learnings and insights – Could you share key learnings and insights from the testing process? For example, 2 to 3 key learnings from the testing process? Any actions you have taken after using AI Verify?

6

Your thoughts on trustworthy AI – Why is demonstrating trustworthy AI important to your organisation and to any other organisations using AI systems? Would you recommend AI Verify? How does AI Verify help you demonstrate trustworthy AI?
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