Foundation Models

Author:

Schneider Johannes,Meske Christian,Kuss Pauline

Funder

University of Liechtenstein

Publisher

Springer Science and Business Media LLC

Subject

Information Systems

Reference50 articles.

1. Asatiani A, Malo P, Nagbøl PR, Penttinen E, Rinta-Kahila T, Salovaara A (2021) Sociotechnical envelopment of artificial intelligence: an approach to organizational deployment of inscrutable artificial intelligence systems. J Assoc Inf Syst 22(2):325–252

2. Benbya H, Davenport TH, Pachidi S (2020) Artificial intelligence in organizations: current state and future opportunities. MIS Q Exec 19(4)

3. Bender EM, Gebru T, McMillan-Major A, Shmitchell S (2021) On the dangers of stochastic parrots: can language models be too big? In: Proceedings of the 2021 ACM conference on fairness, accountability, and transparency, pp 610–623

4. Bommasani R, Creel KA, Kumar A, Jurafsky D, Liang PS (2022) Picking on the same person: does algorithmic monoculture lead to outcome homogenization? Adv Neur Inf Proc Syst 35:3663–3678

5. Bommasani R, Hudson DA, Adeli E et al (2021) On the opportunities and risks of foundation models. arXiv preprint arXiv:2108.07258

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