Problém sladění
PDF (Czech)

Keywords

strojové učení
umělá inteligence
sladění hodnot
lidské chování

How to Cite

Matějková, T. (2024). Problém sladění. Teorie vědy Theory of Science. https://doi.org/10.46938/tv.2024.631

Abstract

Book review:

Christian, Brian. The Alignment Problem: How Can Artificial Intelligence Learn Human Values? London: Atlantic Books, 2021. 476 stran.

PDF (Czech)

References

Christian, Brian. The Most Human Human. New York: Doubleday, 2011.

Christian, Brian. Algorithms to Live By. New York: Henry Holt, 2016.

Han, Hu, and Anil K. Jain. Age, Gender and Race Estimation from Unconstrained Face Images. MSU Technical Report (MSU-CSE-14-5), East Lansing: Michigan State University, July 2014.

Knight, Will. „OpenAI’s Long-Term AI Risk Team Has Disbanded.“ Wired, May 17, 2024. https://www.wired.com/story/openai-superalignment-team-disbanded/.

Mitchell, Melanie. Artificial Intelligence: A Guide for Thinking Humans. London: Macmillan, 2019.

Russell, Stuart J. Human Compatible: AI and the Problem of Control. New York: Viking, 2019.

Tegmark, Max. Life 3.0: Being Human in the Age of Artificial Intelligence. New York: Knopf, 2017.

Tesauro, Gerald. „TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play.“ Neural Computation 6, no. 2 (1994): 215–19. https://doi.org/10.1162/neco.1994.6.2.215

Zeiler, Matthew D., Dilip Krishnan, Graham W. Taylor, and Rob Fergus. „Deconvolutional Networks.“ In 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2528–35. San Francisco, CA: IEEE, 2010. https://doi.org/10.1109/CVPR.2010.5539957

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright (c) 2024 Tereza Matějková

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