IBM, the multinational technology giant headquartered in Armonk, New York, is renowned for many of its innovative technology solutions, including AI. One of IBM's key offerings is Industry Accelerators, a comprehensive set of tools that enable users to analyse data, build models, and display results to tackle common business issues.
IBM is dedicated to developing and promoting trustworthy AI – AI that is transparent, explainable, fair, and secure. The company believes that ethical AI practices are essential for building public trust in AI systems. IBM also advocates for the adoption of industry-wide standards and best practices for AI development and deployment. As part of its ongoing commitment to ethical AI, joining AI Verify international pilot was a natural step for IBM.
Singapore Airlines (SIA), the national carrier of Singapore, is one of the world's leading airlines dedicated to providing air transportation services of the highest quality. Innovation is at the heart of SIA's brand promise, enabling them to offer world-leading products and services while creating new business opportunities. To enhance customer experience and operational efficiency, the airline developed AI-powered solutions for customer-facing and operational applications. One such solution is Joey.
SIA piloted AI Verify testing framework on Joey:
UBS, an international financial institution, implements AI solutions in various areas including fraud detection, trade, activity surveillance, and more to improve operational efficiency. To build trust with its clients and investors, UBS participated in the international pilot of AI Verify, aligning with its values to manage risks and gain the benefits of responsible and ethical AI The bank believed that it could:
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)?
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?
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?
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?