Hybrid machine/human ML



Placeholder to discuss the details of designing algorithms that learn to augment humans.

Additional distinction will they complement or compete with our existing faculties.

References

Agarwal, Chirag, Daniel D’souza, and Sara Hooker. 2021. Estimating Example Difficulty Using Variance of Gradients.” arXiv:2008.11600 [Cs], September.
Carter, Shan, and Michael Nielsen. 2017. Using Artificial Intelligence to Augment Human Intelligence.” Distill 2 (12): e9.
Charusaie, Mohammad-Amin, Hussein Mozannar, David Sontag, and Samira Samadi. 2022. Sample Efficient Learning of Predictors That Complement Humans.” In Proceedings of the 39th International Conference on Machine Learning, 2972–3005. PMLR.
Danaher, John. 2018. Toward an Ethics of AI Assistants: An Initial Framework.” Philosophy & Technology 31 (4): 629–53.
Donahue, Kate, Kostas Kollias, and Sreenivas Gollapudi. 2023. When Are Two Lists Better Than One?: Benefits and Harms in Joint Decision-Making.” arXiv.
Fügener, Andreas, Jörn Grahl, Alok Gupta, and Wolfgang Ketter. 2021. Will Humans-in-the-Loop Become Borgs? Merits and Pitfalls of Working with AI.” MIS Quarterly 45 (3): 1527–56.
Hilgard, Sophie, Nir Rosenfeld, Mahzarin R. Banaji, Jack Cao, and David C. Parkes. 2020. Learning Representations by Humans, for Humans.” arXiv:1905.12686 [Cs, Stat], October.
Hohenstein, Jess, Rene F. Kizilcec, Dominic DiFranzo, Zhila Aghajari, Hannah Mieczkowski, Karen Levy, Mor Naaman, Jeffrey Hancock, and Malte F. Jung. 2023. Artificial Intelligence in Communication Impacts Language and Social Relationships.” Scientific Reports 13 (1): 5487.
Meyer, Julien, April Khademi, Bernard Têtu, Wencui Han, Pria Nippak, and David Remisch. 2022. Impact of Artificial Intelligence on Pathologists’ Decisions: An Experiment.” Journal of the American Medical Informatics Association, June, ocac103.

No comments yet. Why not leave one?

GitHub-flavored Markdown & a sane subset of HTML is supported.