{"title":"CoCoMo: Computational Consciousness Modeling for Generative and Ethical AI","authors":"Edward Y. Chang","doi":"arxiv-2304.02438","DOIUrl":null,"url":null,"abstract":"The CoCoMo model proposes a computational solution to the challenge of\nincorporating ethical and emotional intelligence considerations into AI\nsystems, with the aim of creating AI agents that combine knowledge with\ncompassion. To achieve this goal, CoCoMo prioritizes fairness, beneficence,\nnon-maleficence, empathy, adaptability, transparency, and critical and\nexploratory thinking abilities. The model employs consciousness modeling,\nreinforcement learning, and prompt template formulation to support these\ndesired traits. By incorporating ethical and emotional intelligence\nconsiderations, a generative AI model can potentially lead to improved\nfairness, reduced toxicity, and increased reliability.","PeriodicalId":501310,"journal":{"name":"arXiv - CS - Other Computer Science","volume":"15 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Other Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2304.02438","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The CoCoMo model proposes a computational solution to the challenge of
incorporating ethical and emotional intelligence considerations into AI
systems, with the aim of creating AI agents that combine knowledge with
compassion. To achieve this goal, CoCoMo prioritizes fairness, beneficence,
non-maleficence, empathy, adaptability, transparency, and critical and
exploratory thinking abilities. The model employs consciousness modeling,
reinforcement learning, and prompt template formulation to support these
desired traits. By incorporating ethical and emotional intelligence
considerations, a generative AI model can potentially lead to improved
fairness, reduced toxicity, and increased reliability.