Back to search

Article

Research on Improving Ethical Sensitivity for Ethical Decision-Making in Conversational AI

2024-10-07

Abstract excerpt

<title>Abstract</title> <p>The development of large language models has significantly advanced the inferential capabilities of artificial intelligence (AI), surpassing human-level performance. Despite the rapid growth in AI's cognitive abilities and the consequent expectations for high-level ethical judgments, ethical issues have increased. This indicates a heightened risk of bias as AI models scale up and train...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
03e1f88c-0f99-5415-9fd6-bf2d77ce2c59
DOI
10.21203/rs.3.rs-4999457/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Research on Improving Ethical Sensitivity for Ethical Decision-Making in Conversational AIDOI 10.21203/rs.3.rs-4999457/v1
AI Language Model Rivals Expert Ethicist in Perceived Moral ExpertiseSemantic proximity
AI Language Model Rivals Expert Ethicist in Perceived Moral ExpertiseSemantic proximity
The Moral Turing Test: Evaluating Human-LLM Alignment in Moral Decision-MakingSemantic proximity
How Objective Source and Subjective Belief Shape the Detectability and Acceptability of LLMs’ Moral JudgmentsSemantic proximity
How Objective Source and Subjective Belief Shape the Detectability and Acceptability of LLMs’ Moral JudgmentsSemantic proximity
Perceptions of Artificial Intelligence system's aptitude to judge morality and competence amidst the rise of chatbotsSemantic proximity
A Moral Turing Test to assess How Subjective Belief and Objective Source Affect Detection and Agreement with LLM JudgmentsSemantic proximity
A Comparative Study of Cultural Hallucination in Large Language Models on Culturally Specific Ethical QuestionsSemantic proximity
Dialogues with Large Language Models reduce conspiracy beliefs even when the AI is perceived as humanSemantic proximity
Dialogues with Large Language Models reduce conspiracy beliefs even when the AI is perceived as humanSemantic proximity
People Accurately Anticipate the Influence of Human and LLM Moral AdviceSemantic proximity
Conversational AI reduces conspiracy beliefs even when perceived as humanSemantic proximity
Select a neighboring publication to make it the new centre.