Hi, I'm Milda Norkute

At the moment I'm in between websites. However, I've summarized some of the highlights below --

I'm currently Lead UX and Product Consultant at Thomson Reuters Labs. I specialize in designing for data and AI/ML products. My CHI2021 paper Towards Explainable AI: Assessing the Usefulness and Impact of Added Explainability Features in Legal Document Summarization is a pretty good representation of what kind of work I do at the labs, as well as this paper on Human-in-the-Loop Information Extraction System . Designing and coding interactive data visualizations for Trustlaw's Pro Bono Index is another example project, though a bit less common. A lot of my design work on TR products is confidential. I also have led many design thinking workshops with customers & internally to identify AI innovation opportunities and published paper on what works and what doesn't when running such workshops: Cognitive Strategy Prompts: Creativity Triggers for Human Centered AI Opportunity Detection.

Before Thomson Reuters I worked as Designer and Front End Developer at CERN (2018-2019) and Nokia (2017 summer).

2016-2018, I completed a double masters in Human Computer Interaction and Design at Aalto University and KTH Royal Institute of Technology.

Before starting my career in technology, 2014-2016 I worked in media research at Newsworks, in London. I graduated with bachelors degree in Psychology from University Bath with first class honours in 2014. I also spent a year working in academic research at New Zealand Institute of Language Brain and Behaviour between 2012-2013.

You can contact me through email, or find me online on twitter.

Publications

  • Milda Norkute, Nadja Herger, Leszek Michalak, Andrew Mulder, and Sally Gao. 2021. Towards Explainable AI: Assessing the Usefulness and Impact of Added Explainability Features in Legal Document Summarization. In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (CHI EA '21). Association for Computing Machinery, New York, NY, USA, Article 53, 1–7. Preprint
  • Milda Norkute. 2021. AI Explainability: Why One Explanation Cannot Fit All. In The 2021 ACM CHI Workshop on Operationalizing Human-Centered Perspectives in Explainable AI (CHI 2021 HCXAI Workshop) Preprint
  • Milda Norkute. 2021. The Role of Explanations of AI Systems: Beyond Trust and Helping to Form Mental Models. In: Wienrich, C., Wintersberger, P. & Weyers, B. (Hrsg.), Mensch und Computer 2021 - Workshopband. Bonn: Gesellschaft für Informatik e.V. Preprint
  • Johannes Schleith, Milda Norkute, Mary Mikhail, and Daniella Tsar. 2022. Cognitive Strategy Prompts: Creativity Triggers for Human Centered AI Opportunity Detection. In Creativity and Cognition (C&C ’22), June 20–23, 2022, Venice, Italy. ACM, New York, NY, USA, 9 pages. Preprint
  • Johannes Schleith, Hella Hoffmann, Milda Norkute, and Brian Cechmanek. 2022. Human-in-the-Loop Information Extraction Increases Efficiency and Trust. In: Marky, K., Grünefeld, U. & Kosch, T. (Hrsg.), Mensch und Computer 2022 - Workshopband. Bonn: Gesellschaft für Informatik e.V. Preprint
  • Aileen Nielsen, Laura Skylaki, Milda Norkute, and Alexander Stremitzer. 2023. Effects of XAI on Legal Process. In Nineteenth International Conference on Artificial Intelligence and Law (ICAIL 2023), June 19–23, 2023, Braga, Portugal. ACM, NewYork, NY, USA, 5 pages. Preprint
  • Sally Gao, Milda Norkute, and Abhinav Agrawal. 2024. Evaluating Interactive Topic Models in Applied Settings. In Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems (CHI EA '24). May 11–16, 2024, Honolulu, HI, USA. ACM, New York, NY, USA, 8 pages Preprint

Speaking engagements

I had the pleasure to present at various academic and industry conferences, events and meetups. The list below does not cover internal presentations.

2023

  • 1st Workshop on Legal Information Retrieval at ECIR 2023; Milda Norkute; Keynote talk: Evaluating legal search from the perspective of the users; April 2 2023.

2022

  • 1st Workshop on Measuring the Quality of Explanations in Recommender Systems (QUARE) at SIGIR 2022; Milda Norkute; Explainability considerations for summarization, HCI perpective; July 15 2022. link
  • Podcast; Milda Norkute; Explainable AI in the Legal Domain; January 27 2022. link

2021

  • Data Innovation Summit; Milda Norkute and Nina Hristozova; Explainability for Text Summarization of Legal Documents, Virtual, October 14 2021. promo link
  • UCAI ’21: Workshop on User-Centered Artificial Intelligence; Milda Norkute; The Role of Explanations of AI Systems: Beyond Trust and Helping to Form Mental Models, Virtual, September 5 2021. link
  • Summer Institute in Computational Social Science at ETHZ; Milda Norkute, Nadja Herger, Aileen Nielsen; Deep Learning-Driven Summarization and the Added Benefit of Explainable AI for Legal Tasks, Virtual, June 23 2021. link
  • ACM CHI 2021; Milda Norkute; Towards Explainable AI: Assessing the Usefulness and Impact of Added Explainability Features in Legal Document Summarization; Virtual, May 10 2021. link
  • ACM CHI 2021 Workshop on Human-Centered Explainable AI (HCXAI); Milda Norkute; AI Explainability: Why One Explanation Cannot Fit All; Virtual, May 8 2021. link
  • Machine Learning x UX meetup; Milda Norkute , Designing AI Explainability Features ; Virtual, April 28 2021. video
  • Legal Geek, Thomson Reuters takeover; Nadja Herger, Milda Norkute, Andrew Fletcher, Eric Wood; AI Ethics; Virtual; March 10 2021. article