Abstract
AbstractOn the whole, the US Algorithmic Accountability Act of 2022 (US AAA) is a pragmatic approach to balancing the benefits and risks of automated decision systems. Yet there is still room for improvement. This commentary highlights how the US AAA can both inform and learn from the European Artificial Intelligence Act (EU AIA).
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Philosophy
Reference25 articles.
1. Bradford, A. (2020). The Brussels Effect [Bookitem]. The Brussels Effect. Oxford University Press. https://doi.org/10.1093/oso/9780190088583.003.0003
2. Clouser McCann, P. J., & Shipan, C. R. (2022). How many major US laws delegate to federal agencies? (almost) all of them. Political Science Research and Methods, 10(2), 438–444. https://doi.org/10.1017/PSRM.2021.32
3. Danks, D., & London, A. J. (2017). Algorithmic bias in autonomous systems. IJCAI International Joint Conference on Artificial Intelligence, 0(January), 4691–4697. https://doi.org/10.24963/ijcai.2017/654
4. European Commission (2021). Proposal for 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
5. EU-US Trade and Technology Council (2022). https://ec.europa.eu/commission/presscorner/detail/en/IP_22_3034
Cited by
40 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献