Trustworthy AI:
case studies
Client wanted to evaluate and understand the decisions behind their newly built AI model that was supporting the Network Monitoring service component of their Analytics platform.
code4thought was asked to test and explain Client’s AI model in order to fulfill the following goals:
- Define whether Client follows best-practices regarding:
- The fairness and transparency of the AI model behind their service, and
- Their ability to hold their model accountable.
- Deploy code4thought’s AI explanation mechanism for the decisions made by Client’s AI model (i.e., AI for AI).
Kepler Vision Technologies, a Dutch company specializing in computer vision and AI, focuses on enhancing healthcare delivery efficiency and ensuring patient safety. Their Kepler Night Nurse AI application is crucial in preventing falls, detecting patient wandering, and monitoring other behaviors. In order to build trust and ensure regulatory compliance in the highly regulated healthcare sector, Kepler partnered with code4thought. The collaboration involved a comprehensive assessment methodology, including validation and verification of AI algorithms, systematic risk management, and technical audits to ensure quality and trustworthiness.
QUALCO is a leading technology company that provides a wide range of data-driven solutions to help enterprises efficiently manage customers and assets. Recently, the company was considering acquiring an AI startup and needed a trusted partner to conduct the Due Diligence process and assess the company’s assets in a fact-based and independent way.
FURTHER READING
How Leaders Should Measure Success in AI-Driven Software Engineering
Imagine celebrating that 60% of your code is written by AI — only to realize your product still ships late....
Read MoreCode, Comply, Repeat: Why Human Oversight is Essential in AI-Assisted Code Development
From GitHub Copilot to ChatGPT plugins and IDE-integrated assistants, AI fundamentally changes how developers write and ship code. What once...
Read MoreIs there an (easy) way of detecting bias and fairness in Computer Vision AI systems?
Computer Vision AI systems are much more complicated than AI systems using tabular datasets (typically extracted from databases) as the...
Read More