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Finding a quantitative evaluation metric that can be used to estimate the usefulness of ML model explanations. That wil be the goal of your research in this thesis.
As machine learning (ML) systems take a more prominent and central role in contributing to life-impacting decisions, ensuring their trustworthiness and accountabilityis of utmostimportance. Explanations sit at the core of these desirable attributes of a ML system. The emerging field is frequently called “Explainable AI (XAI)” or “Explainable ML.” The goal of explainable ML is to intuitively explain the predictions of a ML system, while adhering to the needs to various stakeholders. Many explanation techniques were developed with contributions from both academia and industry. However, there are several existing challenges that have not garnered enough interest and serve as roadblocks to widespread adoption of explainable ML.
It is difficult to determine which explainable AI technique (XAI) is most useful in a given scenario. A proper quantitative evaluation metric to determine this does not exist at the moment. As a result, it is unknown whether the explanations created for a certain model are sufficient and usable.
The goal of your research is to find a quantitative evaluation metric that can be used to estimate the usefulness of ML model explanations. This should be a stable metric that could even be utilized in an automated MLOps flow, to give the best possible set of explanations for a given ML model. Your results will assist us in implementing XAI solutions at our clients.
We anticipate on upcoming and future challenges and ensures our engineers develop cutting-edge solutions based on the latest scientific insights. Our research community proactively tackles emerging technologies. We do this in cooperation with renowned scientists, making sure that research teams are positioned and embedded throughout our organisation and our community, so that their insights are directly applied to our business. We truly believe in sharing knowledge, so we want to do this without any restrictions.
Of course, we offer you an excellent package of graduation conditions with various options. These include:
During your graduation internship, you will be included in one of our business units and in our Research Center. This will give you a good understanding of the developments within our projects and our research projects.
In addition, Info Support offers you:
About Info Support
Info Support specializes in custom software, data/AI solutions, management, and training and is active in the Finance, Industry, Agriculture, Food & Retail, Mobility & Public, and Healthcare sectors. We provide solid and innovative solutions for complex and critical software issues. Our headquarters are located in Veenendaal (NL) and Mechelen (BE). At present, approximately 500 employees are employed by Info Support.
Info Support’s working method is characterized by a number of core values: solidity, integrity, craftsmanship, and passion. These core values are intertwined in our work and the way we interact with each other. This year, we were also named a Top Employer in the Netherlands!
To ensure that all employees are always up to date with the latest developments, Info Support has an in-house knowledge center that eagerly satisfies the hunger for more or different knowledge and skills.
B2 language proficiency in Dutch is required.
Maatwerksoftware bouwen waar miljoenen mensen dagelijks gebruik van maken. Dat is ons werk. Voor grote gerenommeerde klanten in Nederland en België. Betrouwbaar, schaalbaar en onderhoudbaar. Wij gaan voor software oplossingen van zeer hoge kwaliteit. Binnen de afgesproken tijd en het budget.
Door samen continu te vernieuwen helpen we klanten en de wereld significant vooruit. Onze ambitie en drive maakt ons vastberaden om topkwaliteit te leveren en voorop te lopen. Can you do IT?
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