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Mathematical understanding of training data and AI: a lesson plan for critical thinking and ethical perspectives
Malmö University, Faculty of Education and Society (LS), Department of Natural Science, Mathematics and Society (NMS). Malmö University, Disciplinary literacy and inclusive teaching.ORCID iD: 0000-0002-8534-6320
Malmö University, Faculty of Education and Society (LS).
Malmö University, Faculty of Education and Society (LS).
2024 (English)In: Quaderni di Ricerca in Didattica" QRDM (Mathematics), ISSN 1592-5137, E-ISSN 1592-4424, Vol. 13, p. 681-685Article in journal (Refereed) Published
Abstract [en]

AI and machine learning are increasingly being applied to solve complex societal issues. One approach is to train algorithms on training data that describes human behavior. This is not without potential problems though. For example, historical human behavior may contain biases, and then algorithms may reproduce social injustices. This workshop contained lesson elements from a study where pre-service mathematics teachers conducted lessons to first conceptually teach how mathematical modelling based on machine learning works, and then to broaden the scope to consider critical thinking in relation to ethics and democratic values. The participants were invited to test and discuss the lesson elements.

Place, publisher, year, edition, pages
Palermo, Italy: University of Palermo , 2024. Vol. 13, p. 681-685
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Didactics
Identifiers
URN: urn:nbn:se:mau:diva-68950OAI: oai:DiVA.org:mau-68950DiVA, id: diva2:1871213
Conference
CIEAEM 74, Malmö , Sweden, 15-19 August 2023
Available from: 2024-06-17 Created: 2024-06-17 Last updated: 2025-02-14Bibliographically approved

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Andersson, Christian H.

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Department of Natural Science, Mathematics and Society (NMS)Disciplinary literacy and inclusive teachingFaculty of Education and Society (LS)
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Quaderni di Ricerca in Didattica" QRDM (Mathematics)
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