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Minimum Levels of Interpretability for Artificial Moral Agents

Minimum Levels of Interpretability for Artificial Moral Agents

2 July 2023
Avish Vijayaraghavan
C. Badea
    AI4CE
ArXivPDFHTML

Papers citing "Minimum Levels of Interpretability for Artificial Moral Agents"

5 / 5 papers shown
Title
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
Jingfeng Yang
Hongye Jin
Ruixiang Tang
Xiaotian Han
Qizhang Feng
Haoming Jiang
Bing Yin
Xia Hu
LM&MA
123
593
0
26 Apr 2023
Fairness via Explanation Quality: Evaluating Disparities in the Quality
  of Post hoc Explanations
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations
Jessica Dai
Sohini Upadhyay
Ulrich Aivodji
Stephen H. Bach
Himabindu Lakkaraju
35
55
0
15 May 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
315
8,261
0
28 Jan 2022
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
220
3,054
0
23 Jan 2020
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
185
2,079
0
24 Oct 2016
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