researcher at NTNU and Simula

inga at strumke dot com

See About for press bio in English and Norwegian.

I believe that making sense of the data we observe is among the most important human endeavours. Machine learning has proven so proficient at constructing data based models that these in some cases outperform human experts. We, as a society, have even reached the point at which we let machine learning models and AI systems make decisions for us. This represents a fantastic opportunity for improving society, as well as an enormous challenge for protecting human autonomy.

My main research focus is on explainable AI (XAI), meaning methods for understanding machine learning models, and explaining their knowledge and assumptions to humans. This presents two challenges: accurately extracting information from the representation created by a machine learning model; and communicating this in a suitable way to the human end-user, who can be anything from a data scientist to a doctor using a clinical decision support system.

My current focus and projects:
         Research on explanation methods for AI systems, including machine learned concepts and Shapley values.
         Master and PhD students at the NTNU and Simula.
         Algorithm audits, commonly referred to as "algoritmetilsyn" in Norwegian.
         The legal status of the right to an explanation.
         The Social Dilemma in AI development, through research and events.

Available video courses about AI and machine learning:
         En innføring i kunstig intelligens og maskinlæring
         Kunstig intelligens, etikk og risiko
         Introducción a la Inteligencia Artificial

Talks

A selection of recent talks

Panel discussions


Media visbility

Regular contributions to the research column Forskningsfronten in Morgenbladet A selection of other media contributions

About

English bio

Inga researched the use of machine learning in particle physics in her PhD, and has been active in the field ever since. Beneath her favourite question “How does the universe work?”, lies a layer of “How can we understand the world we live in?”, which speaks right to artificial intelligence (AI).

She argues that using AI for good is closely linked to both understanding AI well, but also knowing ourselves and our needs. Not only can AI help us drive cars and detect cancer – it can help us solve the optimisation problem of human ethics. If we play it right.

Inga is a researcher at the Norwegian Open AI Lab at the NTNU, and a part-time researcher at the Department of Holistic Systems at Simula Research Laboratory. She has previously worked on trustworthy AI and algorithm auditing at PwC, received the University of Bergen’s outreach price in 2019, and was awarded “ One of Norway's 50 leading women in tech 2020. She is an international keynote speaker, podcast host at the Norwegian Council for Digital Ethics and has several video courses on artificial intelligence available, also in Spanish.


Norsk bio

Inga har forsket på bruk av maskinlæring i partikkelfysikk, og jobbet med kunstig intelligens siden hun avsluttet doktorgraden. Gjennom forskningen innså hun hvor utrolig bra, eller potensielt utrolig dårlig, kunstig intelligente løsninger kan fungere, avhengig av bruk og tolkning.

Hun har diskutert relativitetsteori, gravitasjonsbølger, kvantefysikk, statistisk modellering og kunstig intelligens i ulike medier, engasjert seg sterkt i den nasjonale AI-debatten, har erfaring som keynote speaker internasjonalt og har holdt TEDx-foredrag om kunstig intelligens. Budskapet hennes er at det er viktig å være med på AI-utviklingen, men samtidig stille høye krav til forståelse og ansvarlig bruk, og alltid med mennesket i sentrum.

Inga er forsker ved Norwegian Open AI Lab på NTNU, og har en bistilling som forsker hos SimulaMet. Hun har tidligere jobbet med ansvarlig AI og algoritmerevisjon i PwC, mottok UiB sin formidlingspris i 2019 (les deler av talen her), og ble kåret til En av Norges 50 fremste tech-kvinner 2020. Hun er en internasjonal foredragsholder, podcast-vert hos Norsk råd for digital etikk and har laget flere videokurs om kunstig intelligens, også på spansk.