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Anna-Mari Rusanen

Anna-Mari Rusanen
Finnish Government · Ministry of Finance

PhD, University lecturer

About

27
Publications
5,629
Reads
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61
Citations
Citations since 2016
12 Research Items
36 Citations
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201620172018201920202021202202468
201620172018201920202021202202468
201620172018201920202021202202468
Introduction
Anna-Mari Rusanen works as an university lecturer in Cognitive Science at Department of Digital Humanities, University of Helsinki. Anna-Mari does research in in the intersection of Philosophy of Science and Cognitive Science. She also works as a fixed term senior specialist in Ministry of Finance, Finnish Governance. In ministry, her work focuses on scientific, ethical and societal aspects of algorithms and AI.
Additional affiliations
August 2007 - December 2010
University of Helsinki
Position
  • Researcher

Publications

Publications (27)
Preprint
Full-text available
Tekoälyalgoritmien kehityksestä, tietokoneiden laskentatehon ja muistikapasiteetin kasvamisesta huolimatta-tai osittain juuri niiden takia-tekoälyyn ja sen kehittämiseen liittyy useita avoimia kysymyksiä. Osa on perustavia ja syvällisiä tieteellisiä kysymyksiä inhimillisen älyn ja koneälyn luonteesta, osa tekoälysovelluksiin liittyviä laajoja yhtei...
Preprint
Full-text available
Syväoppivien koneoppimissovellusten tutkimus on ollut viimeiset vuodet suhteellisen insinöörivetoista. Tutkimusta ohjaa usein lähinnä ohjelmistokehitys, ja teoreettiset kysymykset ovat jääneet vähemmälle huomiolle. Monesti myös vierastetaan ajatusta, että tietoteknisten ongelmien ratkaisua varten haettaisiin vetoapua poikki- tai monitieteisestä tut...
Article
Full-text available
According to radical enactivists, cognitive sciences should abandon the representational framework. Perceptuomotor cognition and action control are often provided as paradigmatic examples of nonrepresentational cognitive phenomena. In this article, we illustrate how motor and action control are studied in research that uses reinforcement learning a...
Chapter
Full-text available
Algoritmeihin perustuvia ohjelmistoja voidaan käyttää monenlaisiin tarkoituksiin, ja sovelluskehitys on viime vuosina ollut nopeaa. Algoritmisaatio etenee vauhdilla myös yhteiskunnan eri osa-alueilla. Tulevaisuudessa yhä useampi yksityisen ja julkisen sektorin palvelu tullaan toteuttamaan algoritmien avulla. Algoritmit eivät kuitenkaan vain korvaa...
Chapter
Full-text available
In AI and algorithmic-driven societies, well-designed visualizations provide epistemic resources for decision-making. At the same time, they also introduce epistemic risks by hiding design and algorithmic processes of data behind the visual display. This creates a paradox of data literacy. We know how to use visual interfaces, but we are not able t...
Article
Full-text available
The fundamental cognitive problem for active organisms is to decide what to do next in a changing environment. In this article, we analyze motor and action control in computational models that utilize reinforcement learning (RL) algorithms. In reinforcement learning, action control is governed by an action selection policy that maximizes the expect...
Chapter
Full-text available
Vahvistusoppimisalgoritmit ovat nykyisin hyvin suosittu tutkimuksessa käytettävien algoritmien ryhmä. Vahvistusoppimisalgoritmit etsivät mahdollisimman hyviä lopputuloksia tuottavia toimintakäytäntöjä (engl. ”action policy”). Niitä on sovellettu esimerkiksi robottikäsien liikkeiden suunnitteluun, autonomisten ajoneuvojen reittien valintaan ja pörss...
Preprint
Full-text available
Tekoälyjärjestelmien nopea kehitys monimutkaistaa niiden roolia tieteellisessä tiedonmuodostuksessa. Tässä kirjoituksessa analysoimme ensin lyhyesti nykyisten tekoälyjärjestelmien asemaa tiedollisina toimijoina. Sitten pohdimme tekoälyjärjestelmiin liittyviä tiedollisia riskejä ja niiden suhdetta tiedolliseen läpinäkymättömyyteen. Lopuksi tarkastel...
Article
Full-text available
We analyse Hutto and Myin´s three arguments against computationalism (Hutto and Myin 2012, 2017; Hutto et al. forthcoming). The Hard Problem of Content targets computationalism that relies on semantic notion of computation, claiming that it cannot account for the natural origins of content. The Intentionality Problem is targeted against computation...
Article
Full-text available
Computational explanations focus on information processing required in specific cognitive capacities, such as perception, reasoning or decision-making. These explanations specify the nature of the information processing task, what information needs to be represented, and why it should be operated on in a particular manner. In this article, the focu...
Conference Paper
Full-text available
Computational explanations focus on information processing tasks of specific cognitive capacities. In this paper, we argue that there are at least two different kinds of computational explanations; the interlevel and the intralevel ones. Moreover, it will be argued that neither interlevel nor intralevel computational explanations can be subsumed un...
Thesis
Full-text available
Academic dissertation to be publicly discussed, by due permission of the Faculty of Arts at the University of Helsinki in auditorium XV (University Main Building, Fabianinkatu 33) on the 5th of December, 2014 at 12 o'clock.
Article
Conceptual change is one of the most studied fields in science education and psychology of learning. However, there are still some foundational issues in conceptual change research on which no clear consensus has emerged. Firstly, there is no agreement on what changes in belief and concept systems constitute conceptual change and what changes do no...
Conference Paper
There are certain theoretical issues in conceptual change research that are still puzzling researchers. First, there is no agreement on what kinds of changes in belief and concept systems constitute conceptual change. Second, there is no consensus on what the mechanisms of conceptual change are. Third, there is no common understanding how to e...
Article
Full-text available
In this article we focus on the concept of concept in conceptual change. We argue that (1) theories of higher learning must often employ two different notions of concept that should not be conflated: psychological and scientific concepts. The usages for these two notions are partly distinct and thus straightforward identification between them is un...
Conference Paper
Full-text available
The increasing use of computational modeling and simulation methods offers interesting epistemic and theoretical challenges for the philosophy of science. One of the main questions discussed in the philosophical literature relates to the explanatory role of false, unrealistic and sometimes even fictional models. In this paper we argue that (i)...
Chapter
Full-text available
An information-semantic account of models as scientific representations is presented, in which scientific models are considered information carrying artifacts, and the representational semantics of models is based on this information-theoretic relation between the model and the external world. In particular, the semantics of models as scientific re...
Conference Paper
Full-text available
This paper reports on work in progress on student conceptions regarding the relation of the mind and matter. Explorative methods of data analysis and visualization were applied to uncover patterns of variation in student conceptions at the upper secondary and university undergraduate level. Our finding is that there is variety in commonsense ontolo...
Chapter
Full-text available
A body of recent literature has proposed that explanation in neurosciences, including cognitive neuroscience, is mechanistic. It has also been argued that the mechanistic model could be extended to cover explanations in computer sciences and cognitive sciences. Mechanistic explanation as standardly conceived is a form of causal explanation, and it...
Article
Full-text available
We present an information theoretic account of models as scientific representations, where scientific models are understood as information carrying artifacts. We propose that the semantics of models should be based on this information coupling of the model to the world. The information theoretic account presents a way of avoiding the need to refer...
Article
There is a newer version of this eprint, available at: http://philsci-archive.pitt.edu/archive/00005218/
Article
Full-text available
We present a framework for research on coherence of student conceptions in philosophy education. Commonsense conceptions of philosophical novices were studied. Students of a Finnish upper secondary school with no prior background in philosophy were asked to evaluate statements on conceptual issues in the domains of philosophy of mind, metaphysics a...
Conference Paper
Full-text available
In this article we approach neural networks as computational templates that travel across various sciences. Traditionally, it has been thought that models are primarily models of some target systems: they are assumed to represent partially or completely their target systems. We argue, instead, that many computational models cannot easily be conceiv...
Conference Paper
Full-text available
The wide applicability of neural networks poses an interesting challenge for the philosophy of science. This paper argues that when used for explanatory purposes, the interpretation of the neural network's computational template is crucial. The dynamics of debate about the interpretation of a model are illustrated with examples from the recent hist...
Conference Paper
In this paper we discuss the nature of computational explanation in the neurocognitive sciences. We ask whether current models of mechanistic explanation can do justice to some important charasteristics of computational explanation. What we argue is that if one considers neurocognitive systems at a genuinely cognitive level, where explanations refe...

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Projects

Projects (2)
Project
Philosophy of Intelligent Cognitive Systems (PICS) studies the philosophical and theoretical aspects of contemporary cognitive science and artificial intelligence (AI) research. Our work is centered around the topics of computational explanations and models; nature and role of cognitive representations; explainability of AI; cognitive dynamics in human-machine interaction; machine learning, deep learning, dissection and manipulation methods.
Archived project
We live in a complex world where the ability to assess relevance (filter out irrelevant information and focus on the relevant) is one of the factors that underlie the remarkable flexibility and impressive capability of the human mind. This series of workshops bring together scholars, who work on different aspects of relevance in an effort not only to understand how relevance can be characterized theoretically, but also to explore how relevance can be studied empirically in a variety of scientific domains, such as in science and technology studies, in cognitive science, in robotics, in information studies and in philosophy.