‘We have opened a can of worms’: using collaborative ethnography to advance responsible artificial intelligence innovation

Figures & data

Figure 1. An early mind map of algorithmic contingencies.

Figure 2. Schematic of the process of an ML misinformation detection model. Reproduced from (Domínguez Hernández et al. 2023).

Domínguez Hernández, A., R. Owen, D. S. Nielsen, and R. McConville. 2023. “Ethical, Political and Epistemic Implications of Machine Learning (Mis)Information Classification: Insights from an Interdisciplinary Collaboration Between Social and Data Scientists.” Journal of Responsible Innovation 10 (1): 2222514. https://doi.org/10.1080/23299460.2023.2222514.

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