USE CASES

A use case is a practical example of how a technology, like AI, can be applied to solve a specific problem or achieve a desired outcome.

Led by Bosch, ALFIE will showcase the transformative power of AutoML through a series of compelling use cases, which will highlight the platform’s ability to select and deploy AI models in different contexts while prioritizing trust, fairness, and accountability.

Partners will implement three specific use cases, which are as follows:

Led by Catalink Ltd, this use case focuses on developing an AI-powered drowsiness detection accompanied with a mood estimation model to enhance driver safety while eliminating biases and ethical issues. To satisfy the aforementioned, our models will be meticulously co-designed with legal and citizen stakeholders in order to ensure fair and accurate detection across diverse populations, mitigate algorithmic bias, and promote equitable road safety solutions.

Led by the Universitat Autònoma de Barcelona, this use case focuses on developing an AI-powered accessibility checker to assist web designers in evaluating and improving website accessibility for blind users. The tool will identify accessibility issues, ensure compliance with WCAG 2.1 standards, and provide actionable recommendations to promote inclusive web design.

Led by BOSCH this dataset use case involves compliance alert processing from the analysis of the behaviour of external providers. These alerts require verification against Bosch Compliance Regulations. The dataset contains 28k unique alerts with multiple classifications per alert (7 million total entries). The system aims to automatically identify relevant compliance cases, prioritizing high recall to ensure no relevant alerts are missed by compliance officers.