Navigating the challenges and opportunities in trustworthy AI

Lucia Tealdi is a scientist in the Data Science department at TNO. With a background in mathematics, Lucia has spent her years at TNO working with various machine learning and AI techniques to support decision making and bring innovation to different domains. We interviewed Lucia to find out what challenges she finds most interesting to solve through the project and what she is most looking forward to achieving in the coming months.

How do you think the TrustLLM project could impact the AI field?
In the past years we have assisted to an incredibly fast development of AI, especially within the field of generative AI and large language models. This development is mainly driven by few, big leading companies, but we also see an increasing number of open source, or smaller scale projects emerging. TrustLLM is one of those, and brings the ambition to develop LLMs within the track of the ethical and societal values promoted by the EU.

Which challenges do you find most interesting to solve through the project?

The biggest challenge is to collect enough good quality data, while complying with all the privacy and intellectual property rule.

What are you most looking forward to achieving in the coming months?

We are going to have a first version of the TrustLLM model; most likely it will be far from perfect, but it will be our baseline to start working on use cases, and demonstrate the added value of this technology.

What new insights have you gained from being part of this research project so far?

Language is one of the most important and complex aspects of our societies, and now that we have AI models that are ‘able’ to speak, this gives us another angle to think and appreciate the value of meaningful, and trustworthy language.

 

Lucia Tealdi, scientist, TNO