Taewan Kim

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with John N. Hooker

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Publications

2021
[j45]
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Tae Wan Kim, John N. Hooker, Thomas Donaldson:
Taking Principles Seriously: A Hybrid Approach to Value Alignment in Artificial Intelligence. J. Artif. Intell. Res. 70: 871-890 (2021)
[i11]
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  - journals/corr/abs-2103-05434
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Tae Wan Kim, Tong Lu, Kyusong Lee, Zhaoqi Cheng, Yanhan Tang, John N. Hooker:
When is it permissible for artificial intelligence to lie? A trust-based approach. CoRR abs/2103.05434 (2021)
2020
[i9]
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  - journals/corr/abs-2012-11705
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Tae Wan Kim, John N. Hooker, Thomas Donaldson:
Taking Principles Seriously: A Hybrid Approach to Value Alignment. CoRR abs/2012.11705 (2020)
2019
[j39]
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  - journals/aim/HookerK19
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John N. Hooker, Tae Wan Kim:
Truly Autonomous Machines Are Ethical. AI Mag. 40(4): 66-73 (2019)
[i7]
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  - journals/corr/abs-1907-05447
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Tae Wan Kim, Thomas Donaldson, John N. Hooker:
Grounding Value Alignment with Ethical Principles. CoRR abs/1907.05447 (2019)
2018
[c59]
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  - conf/aies/HookerK18
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John N. Hooker, Tae Wan Kim:
Toward Non-Intuition-Based Machine and Artificial Intelligence Ethics: A Deontological Approach Based on Modal Logic. AIES 2018: 130-136
[i5]
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  - journals/corr/abs-1810-11116
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Tae Wan Kim, Thomas Donaldson, John N. Hooker:
Mimetic vs Anchored Value Alignment in Artificial Intelligence. CoRR abs/1810.11116 (2018)

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