AI Blamed for Moral Violations
This is a Seoul news story, published by ScienceDaily, that relates primarily to Minjoo Joo news.
Seoul news
For more Seoul news, you can click here:
more Seoul newsMinjoo Joo news
For more Minjoo Joo news, you can click here:
more Minjoo Joo newsNews about Ai research
For more Ai research news, you can click here:
more Ai research newsScienceDaily news
For more news from ScienceDaily, you can click here:
more news from ScienceDailyAbout the Otherweb
Otherweb, Inc is a public benefit corporation, dedicated to improving the quality of news people consume. We are non-partisan, junk-free, and ad-free. We use artificial intelligence (AI) to remove junk from your news feed, and allow you to select the best tech news, business news, entertainment news, and much more. If you like this article about Ai research, you might also like this article about
AI blame attribution. We are dedicated to bringing you the highest-quality news, junk-free and ad-free, about your favorite topics. Please come every day to read the latest moral scapegoat news, AI news, news about Ai research, and other high-quality news about any topic that interests you. We are working hard to create the best news aggregator on the web, and to put you in control of your news feed - whether you choose to read the latest news through our website, our news app, or our daily newsletter - all free!
AI mind perceptionScienceDaily
•Human-like artificial intelligence may face greater blame for moral violations
77% Informative
Participants tended to assign greater blame to artificial intelligences involved in real-world moral transgressions when they perceived the AIs as having more human-like minds.
Minjoo Joo of Sookmyung Women's University in Seoul , Korea , presents these findings in the open-access journal PLOS ONE on December 18, 2024 .
VR Score
89
Informative language
97
Neutral language
50
Article tone
formal
Language
English
Language complexity
56
Offensive language
possibly offensive
Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
long-living
External references
no external sources
Source diversity
no sources
Affiliate links
no affiliate links