References
- Brennen, J. S., Howard, P. N., & Nielsen, R. K. (2018). An industry-led debate: How UK media cover artificial intelligence.
- Cave, S., Coughlan, K., & Dihal, K. (2019). “Scary robots”: Examining public responses to ai. In V. Conitzer, G. Hadfield, & S. Vallor (Eds.), Proceedings of the 2019 aaai/acm conference on ai, ethics, and society (pp. 331–337). ACM. https://doi.org/https://doi.org/10.1145/3306618.3314232
- Elzayn, H., & Fish, B. (2020). The effects of competition and regulation on error inequality in data-driven markets. In M. Hildebrandt, C. Castillo, E. Celis, S. Ruggieri, L. Taylor, & G. Zanfir-Fortuna (Eds.), Proceedings of the 2020 conference on fairness, accountability, and transparency (pp. 669–679). ACM. https://doi.org/https://doi.org/10.1145/3351095.3372842
- European Commission. (2021). Proposal for a regulation of the European parliament and of the council: Laying down harmonised rules on artificial intelligence (artificial intelligence act) and amending certain union legislative acts. https://ec.europa.eu/newsroom/dae/document.cfm?doc_id=75788
- Hancock, P. A. (2021). Avoiding adverse autonomous agent actions. Human–Computer Interaction, 1–26. https://doi.org/https://doi.org/10.1080/07370024.2021.1970556
- Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of ai ethics guidelines. Nature Machine Intelligence, 1(9), 389–399. https://doi.org/https://doi.org/10.1038/s42256-019-0088-2
- Kelley, P. G., Yang, Y., Heldreth, C., Moessner, C., Sedley, A., Kramm, A., Newmann, D. T., & Woodruff, A. (2021). Exciting, Useful, Worrying, Futuristic: Public Perception of Artificial Intelligence in 8 Countries. In M. Fourcade, B. Kuipers, S. Lazar, & D. Mulligan (Eds.), Proceedings of the 2021 aaai/acm conference on ai, ethics, and society (pp. 627–637). ACM. https://doi.org/https://doi.org/10.1145/3461702.3462605
- Kelly, A. (2021). A tale of two algorithms: The appeal and repeal of calculated grades systems in england and Ireland in 2020. British Educational Research Journal, 47(3), 725–741. https://doi.org/https://doi.org/10.1002/berj.3705
- Kieslich, K., Lünich, M., & Marcinkowski, F. (2021). The threats of artificial intelligence scale (tai). International Journal of Social Robotics, 13 (7), 1563-1577. https://doi.org/https://doi.org/10.1007/s12369-020-00734-w
- Liang, Y., & Lee, S. A. (2017). Fear of autonomous robots and artificial intelligence: Evidence from national representative data with probability sampling. International Journal of Social Robotics, 9(3), 379–384. https://doi.org/https://doi.org/10.1007/s12369-017-0401-3
- Long, D., & Magerko, B. (2020). What is ai literacy? Competencies and design considerations. In R. Bernhaupt, F. Mueller, D. Verweij, J. Andres, J. McGrenere, A. Cockburn, I. Avellino, A. Goguey, P. Bjørn, S. Zhao, B. P. Samson, & R. Kocielnik (Eds.), Proceedings of the 2020 chi conference on human factors in computing systems (pp. 1–16). ACM. https://doi.org/https://doi.org/10.1145/3313831.3376727
- Srivastava, M., Heidari, H., & Krause, A. (2019). Mathematical notions vs. Human perception of fairness. In A. Teredesai, V. Kumar, Y. Li, R. Rosales, E. Terzi, & G. Karypis (Eds.), Proceedings of the 25th acm sigkdd international conference on knowledge discovery & data mining (pp. 2459–2468). ACM. https://doi.org/https://doi.org/10.1145/3292500.3330664
- Sun, S., Zhai, Y., Shen, B., & Chen, Y. (2020). Newspaper coverage of artificial intelligence: A perspective of emerging technologies. Telematics and Informatics, 53, 101433. https://doi.org/https://doi.org/10.1016/j.tele.2020.101433
- Zhang, B., & Dafoe, A. (2019). Artificial intelligence: American attitudes and trends. SSRN. https://doi.org/https://doi.org/10.2139/ssrn.3312874