Dani Shanley, Assistant Professor (D.A.)

Shanley, D., Hogenboom, J., Lysen, F., Wee, L., Lobo Gomes, A., Dekker, A., & Meacham, D. (2024). Getting real about synthetic data ethics: Are AI ethics principles a good starting point for synthetic data ethics? Embo Reports, 25(5), 2152-2155. https://doi.org/10.1038/s44319-024-00101-0

Shanley, D., & Meacham, D. (2024). A place where “You can be who you've always wanted to be…” Examining the ethics of intelligent virtual environments. Journal of Responsible Technology, 18, Article 100085. https://doi.org/10.1016/j.jrt.2024.100085

Shanley, D., & Roßmann, M. (2023). Can the history of Responsible Innovation help us live better with hype? Interview with Danielle Shanley. Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis, 32(3), 86-89. https://doi.org/10.14512/tatup.32.3.86

Stahl, B. C., Alcardi, C., Brooks, L., Craigon, P. J., Cunden, M., Datta Burton, S., De Heaver, M., De Saille, S., Dolby, S., Dowthwaite, L., Eke, D., Hughes, S., Keene, P., Kuh, V., Portillo, V., Shanley, D., Smallman, M., Smith, M., Stilgoe, J., ... Webb, H. (2023). Assessing responsible innovation training. Journal of Responsible Technology, 16, Article 100063. https://doi.org/10.1016/j.jrt.2023.100063

Shanley, D., Cohen, J. B., Surber, N., & Stack, S. (2022). Looking beyond the 'horizon' of RRI: moving from discomforts to commitments as early career researchers. Journal of Responsible Innovation, 9(1), 124-132. Article 2049506. https://doi.org/10.1080/23299460.2022.2049506

Shanley, D. (2021). Imagining the future through revisiting the past: the value of history in thinking about R(R)I's possible future(s). Journal of Responsible Innovation, 8(2), 234-253. https://doi.org/10.1080/23299460.2021.1882748

Shanley, D., & Meacham, D. (2024). A place where “You can be who you've always wanted to be…” Examining the ethics of intelligent virtual environments. Journal of Responsible Technology, 18, Article 100085. https://doi.org/10.1016/j.jrt.2024.100085

Ravn, L., Galanos, V., Archer, M., & Shanley, D. (2025). Unraveling the Regimes of Synthetic Data Metrics: Expectations, Ethics, and Politics. Digital Society. https://doi.org/10.1007/s44206-025-00200-y