KPN Responsible AI Lab is a collaboration between KPN and JADS. The lab will focus on developing technologies that allow Artificial Intelligence to be used in a responsible way. The lab is be based in Den Bosch.
JADS scientists work together with KPN CRM & Analytics on PhD research trajectories in the areas of data science, decision-making, privacy, and compliance, the results of which will be used in practice to realize responsible AI solutions. KPN CRM & Analytics is the department within KPN that, based on available data, draws up reports and analyses and develops customer insights that help the organization in improving its services.
The goal of the Responsible AI Lab is to develop transparent, privacy-aware, and personalized AI solutions for businesses that address topics of the KIA ICT roadmap. For five years, six PhD students work in the lab on projects contributing to the technical and legal aspects of transparency on, data engineering approaches that ensure privacy by design, personalized and responsible offerings through text analytics, and responsible up-lift modeling. The main research question will be: “how can we create more transparent, robust, fair and sustainable deep learning architectures through simplification?”. A set of guidelines will be defined to identify the most suitable simplification methods and metrics to apply in practice.
Winifred Andriessen, Director of Advanced Analytics at KPN, is a large advocate of Responsible AI. Winifred: “Responsible AI requires multidisciplinary research that looks at both the AI technology itself and how to use it in a way that is responsible and fits into our society. For KPN, the advantage of this is that it not only gives us insight into the potential power of AI but also allows us to responsibly convert it into added value for our customers and wider society. Think of examples like deploying AI for energy efficiency, or rolling out a fiber-optic network.”
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Eric PostmaResearch lead LaRA – JADS
Eric is a professor in Artificial Intelligence at the Cognitive Science & AI department at Tilburg University and the Jheronimus Academy of Data Science in ‘s-Hertogenbosch. His specialty is in Cognitive modelling, Image analysis and understanding and Machine learning.
Gianluigi BardelloniResearch lead LaRA – KPN
Gianluigi is an Experimental Physicist turned Software Engineer at KPN. He has 20 years work experience as Developer, Business Analyst, Architect, Consultant and finally Data Engineer/Scientist.
Damian TamburriAI Scientist LaRA – JADS
Damian is an Associate Professor at the Eindhoven University of Technology and the Jheronimus Academy of Data Science (JADS). His research interests rotate around DevOps ad DataOps architectures, properties, and tools from a technical, social, and organisational perspective.
Renato CalzoneLaRA Management – JADS
Renato is a Program Manager Data Science for Social Good at JADS. He is an all-round business professional and a strong and driven networker with considerable experience in ecosystem creation, new venture creation and strategic business development.
Daan KolkmanResearch lead LaRA – HU
Daan Kolkman is a senior researcher in decision making at the Jheronimus Academy of Data Science. His research revolves around the sociology of quantification, intelligent decision support decision systems (e.g. machine learning, artificial intelligence), and organizational decision making.
Martin van den BergAssociate lector AI – HU
Martin van den Berg works as a researcher within Artificial Intelligence and conducts research in the field of “explainable artificial intelligence“. He has co-authored several books on enterprise architecture and co-authored the Dynamic Architecture (DyA) approach. In 2012, he received the NAF medal for his special significance for the ICT architecture community in the Netherlands.
Stefan LeijnenLector AI – HU
Stefan Leijnen is lecturer of the Artificial Intelligence lectorate, where he researches applications of artificial intelligence and data-driven innovation. Human-centred values such as transparency, trust, creativity and autonomy are central to his work.
Winifred AndriessenDirector Advanced Analytics – KPN
Winifred Andriessen is an eperienced Director Of Analytics with a demonstrated history of working in the telecommunications industry. Skilled in Marketing Management, Innovation Management, Team Building, Management, and Interactive TV. All organizations are looking to reap the benefits of AI, but few have succeeded in delivering it at the speed of business. KPN would like to make a difference.
KPN is a leading telecommunication and IT provider and market leader in the Netherlands, serving both consumer and business customers with its fixed and mobile networks for telephony, broadband, and television. KPN offers small-, medium-, and large-size business customers a portfolio of services including fixed and mobile telephony and internet, and solutions in core connectivity and close to core IT services such as cloud, security and workspace. In addition, KPN offers third-party telecom providers access to its widespread fixed and mobile networks.
JADS provides innovative data science programs at undergraduate, graduate and postgraduate level, conducts cutting edge data science research and offers great business opportunities with a continually growing ecosystem. From startups to SMEs, NGOs and large corporates, our business partners gain access to talent, high level knowledge and business opportunities.
HU University of Applied Sciences Utrecht sees opportunities where different disciplines and viewpoints intersect. In our ever-changing world, we are faced with challenges in health, technology, safety, climate and sustainability. Answers to these issues require an innovative approach, and we provide education for young students as well as professionals to contribute to this approach.