Charlotte Högberg
Biographic Data
| ID | 5985069 |
|---|---|
| NAME | Charlotte Högberg |
| GIVEN NAMES | Charlotte |
| FAMILY NAME | Högberg |
| SIGNATURE | HÖGBERG C |
| AFFILIATIONS | Lund University |
| ORCID | 0000-0002-1462-6325 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Transparency tinkering
Artificial Intelligence (AI) technologies are increasingly researched and applied in medicine and healthcare. The high stakes of these applications have raised a particular demand for them to be, to some degree, transparent. Yet, how AI experts consider transparency and turn it into practice in the development of medical AI remains underexplored. As the notion of AI technologies as black boxes persists, more empirical and conceptual understanding…
Digital phantoms in medical research
Digital phantoms are virtual representations of the human body used in medical research to test equipment, train medical professionals and develop or validate algorithms. These models can be created from ‘real-world’ clinical data or from ‘synthetic data’. Phantoms derived from clinical data often serves as ‘ground truth’ reference values anchored in empirical observations. However, there is growing demand for synthetic digital phantoms and datas…
This ground truth is muddy anyway”
This article explores assemblages of ground truth datasets for the development of medical artificial intelligence (AI). By drawing from interviews and observations, I examine how AI experts developing medical AI relate to the referential truth basis of their work, their ground truths, as an epistemic concern. By addressing how datasets are assembled from different sources, and produced, augmented and synthesised, this study shows how ground truth…
Stabilizing translucencies
Standards are put forward as important means to turn the ideals of ethical and responsible artificial intelligence into practice. One principle targeted for standardization is transparency. This article attends to the tension between standardization and transparency, by combining a theoretical exploration of these concepts with an empirical analysis of standardizations of artificial intelligence transparency. Conceptually, standards are underpinn…
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Stabilizing translucencies
Standards are put forward as important means to turn the ideals of ethical and responsible artificial intelligence into practice. One principle targeted for standardization is transparency. This article attends to the tension between standardization and transparency, by combining a theoretical exploration of these concepts with an empirical analysis of standardizations of artificial intelligence transparency. Conceptually, standards are underpinn…
This ground truth is muddy anyway”
This article explores assemblages of ground truth datasets for the development of medical artificial intelligence (AI). By drawing from interviews and observations, I examine how AI experts developing medical AI relate to the referential truth basis of their work, their ground truths, as an epistemic concern. By addressing how datasets are assembled from different sources, and produced, augmented and synthesised, this study shows how ground truth…
Transparency tinkering
Artificial Intelligence (AI) technologies are increasingly researched and applied in medicine and healthcare. The high stakes of these applications have raised a particular demand for them to be, to some degree, transparent. Yet, how AI experts consider transparency and turn it into practice in the development of medical AI remains underexplored. As the notion of AI technologies as black boxes persists, more empirical and conceptual understanding…
Digital phantoms in medical research
Digital phantoms are virtual representations of the human body used in medical research to test equipment, train medical professionals and develop or validate algorithms. These models can be created from ‘real-world’ clinical data or from ‘synthetic data’. Phantoms derived from clinical data often serves as ‘ground truth’ reference values anchored in empirical observations. However, there is growing demand for synthetic digital phantoms and datas…
Artificial Intelligence in Healthcare and Education (3 works) · Ethics and Social Impacts of AI (3 works) · Computer Science (2 works) · Ground truth (2 works) · Applications of artificial intelligence (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Big data (1 work) · Common ground (1 work) · Communication (1 work)