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SUMMARY:PhD Defense – Making Sense of Medical AI: The Making of AI Transparencies and Configuration of Expertise
DESCRIPTION:Charlotte Högberg defends her doctoral thesis\, “Making Sense of Medical AI: The Making of AI Transparencies and Configuration of Expertise\,” at Lund University (LTH). \nClick here for a link to the event page at Lund University. \nAbstract\nArtificial Intelligence (AI) technologies are increasingly researched and applied for medical knowledge discovery and to support or automate clinical decision-making. The aim of this thesis is to increase the knowledge on (1) how AI experts\, radiologists\, and standardizers make sense of AI\, in the processes of medical AI development\, clinical use and standardization\, and (2) how this sensemaking contributes to configurations of AI transparencies and expertise in sociotechnical entanglements. Specifically\, I study the research questions: How are AI experts that are involved in developing AI for medical purposes\, and medical professionals\, making sense of medical AI? How is AI transparency made sense of in standardizations? And how are AI transparencies made and expertise (re)configured in these processes and sociotechnical entanglements? In studying these questions\, I focus on different actors’ practices and reasoning about: ground truthing and transparency in the development of medical AI\, integrating and critically engaging with AI in clinical work\, and standardization of AI transparency. \nTheoretically\, this thesis is situated in the fields of Science and Technology Studies (STS)\, sociology\, information science\, communication studies and organization studies. An epistemological underpinning of this thesis is the entanglement of social actions and technological and material artefacts. This entails an understanding of the research topic as involving knowledge-making phenomena where the social and the technical\, the human and the non-human\, are co-constituted in sociotechnical assemblages. Empirically\, the research is conducted in three studies using different methods. In the studies\, different actors are engaged through: interviews and observations with AI experts working with AI development for medicine and healthcare\, a survey study of breast radiologists’ views regarding the integration of AI in breast cancer screening\, and a practice-oriented document analysis focusing standard-making of AI transparency. In total\, this thesis shows how medical AI is as much a sociotechnical matter as a technical or clinical endeavor. It highlights the complexity of making sense of AI\, by different actors’ reasonings and practices and through different processes. Both the role of opacity mitigating practices\, as well as the challenges of making AI transparent\, are made visible. Moreover\, this thesis shows the importance of empirical insights\, and stakeholder and context–sensitive approaches to better understand how medical AI is made sense of and how expertise is reconfigured in the process. \nSupervisor\nStefan Larsson\, Associate Professor of Technology and Social Change at Lund University \nKristina Lång\, Associate Professor in the Division of Diagnostic Radiology\, Lund University \nKatja de Vries\, Associate Professor of Public Law at Uppsala Universitet \nOpponent\nMaja Hojer Bruun\, Associate Professor at Aarhus University\, Denmark.
URL:https://wasp-hs.org/event3/phd-defense-making-sense-of-medical-ai-the-making-of-ai-transparencies-and-configuration-of-expertise/
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DTSTART;TZID=Europe/Stockholm:20250604T010000
DTEND;TZID=Europe/Stockholm:20250604T150000
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CREATED:20250521T164636Z
LAST-MODIFIED:20250521T164636Z
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SUMMARY:Workshop: Girls Just Want to Have Sc(AI)ence – Part 3
DESCRIPTION:Please note that this event is independently organized by a WASP-HS researcher and not the WASP-HS Program Office. \nCreating a research network to foster woman’s partcipation in technoscience.\nTopic: We Should All Be Feminists in Software Engineering \nPractical Information\nThe workshop is arranged in a hybrid format on June 4\, 2025: \n– 13.00 – 14.00: Hybrid lecture on zoom.– 14.15 to 15.00 On-site lecture plus workshop\, Lund Sweden. \nInvited speaker: Letizia Jaccheri –  Professor of Computer Science\,Norwegian University of Science and Technology (NTNU) \nRegistration and more information\nRegister for the workshop here! \nAbstract\nSoftware engineering is a paradigm of human activities that incorporates our problem-solving capabilities\, cognitive aspects\, and social interaction. Software is an infrastructure of all industries and societies around the world\, serving global users of all genders. However\, there is a current gender gap in both the development and operations of software products and services. In 2023\, internet users reached 5.3 billion\, constituting 65.7% of the world population. About 70% of males and 63% of females globally use the internet\, but merely 5.17% of the worldwide software developer population (27 millions) is comprised of women. \n \nGender studies is a growing research topic in software engineering as it re-lates to the diversity and inclusion issues for performing and healthy teamwork. Several studies have been devoted to understanding the relation between gender and software engineering. \nIn the era of Artificial Intelligence (AI) and increasing automation in software industry\, the role of humans is even more emphasized across age\, culture and gender. However\, the engagement of genders in Software Engineering is not uniform. It is important to address the gender gap in software engineering urgently when new AI intensive software systems are being created because there is a risk that AI generated software perpetuates sexist assumptions and ideologies. \n \nFeminism can be defined as both a theoretical perspective and a social move-ment aiming to diminish and ultimately eliminate sexist inequality and oppres-sion. The concept of intersectionality explores the interconnectedness of social differences\, including race\, gender\, class\, ethnicity\, sexuality\, and nationality. Feminism draws attention to the systemic power dynamics emerging from the interaction of various dimensions of social difference across individual\, institu-tional\, cultural\, and societal spheres of influence. \n \nThe goal of this lecture is to learn about software engineering and gender research\, and to discuss the state of the art about gender issues in core topics of software engineering. The lecture will provide participants with a clear definition and understanding of Software Engineering and gender and explain the origins and historical context that led to the emergence of this field. The intended audience for the lecture includes researchers\, software engi-neers\, policy-makers\, educators as well as anyone who is interested in the inter-section of technology and social issues. \n \nThis work is partially supported by the EUGAIN COST Action CA19122 – European Network for Gender Balance in Informatics.
URL:https://wasp-hs.org/event3/workshop-girls-just-want-to-have-scaience-part-3/
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