CoCoMo: Computational Consciousness Modeling for Generative and Ethical AI

Edward Y. Chang
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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.
CoCoMo:生成和伦理人工智能的计算意识建模
CoCoMo模型提出了一种计算解决方案,以应对将道德和情商因素纳入系统的挑战,其目的是创造将知识与同情心结合起来的人工智能代理。为了实现这一目标,CoCoMo优先考虑公平、慈善、无害、同理心、适应性、透明度以及批判性和探索性思维能力。该模型采用意识建模、强化学习和提示模板制定来支持这些期望的特征。通过结合伦理和情商方面的考虑,生成式人工智能模型可能会提高公平性,减少毒性,提高可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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