Aligning Superhuman AI with Human Behavior-Reference-Cited by-同舟云学术

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Aligning Superhuman AI with Human Behavior

Published:2020-07-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
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Author:

McIlroy-Young Reid¹,Sen Siddhartha²,Kleinberg Jon³,Anderson Ashton¹

Affiliation:

1. University of Toronto, Toronto, ON, Canada

2. Microsoft Research, New York City, NY, USA

3. Cornell University, Ithaca, NY, USA

Funder

Vannevar Bush Faculty Fellowship Program

CFI grant

NSERC grant

Army Research Office

Simons Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3394486.3403219

Reference16 articles.

1. Measuring Level-K Reasoning, Satisficing, and Human Error in Game-Play Data

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1. Aversion to external feedback suffices to ensure agent alignment;Scientific Reports;2024-09-10

2. Information based explanation methods for deep learning agents—with applications on large open-source chess models;Scientific Reports;2024-08-30

3. XQSV: A Structurally Variable Network to Imitate Human Play in Xiangqi;2024 IEEE Conference on Games (CoG);2024-08-05

4. Processing 2D barcode data with metaheuristic based CNN models and detection of malicious PDF files;Applied Soft Computing;2024-08

5. EK-Chess: Chess Learning System Based on Top-Level Chess Expert Knowledge Graph;International Journal of Human–Computer Interaction;2024-05-29

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