CoCoMo: Computational Consciousness Modeling for Generative and Ethical AI

03/17/2023
by   Edward Y. Chang, et al.
0

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.

READ FULL TEXT
research
06/24/2021

On Fairness and Interpretability

Ethical AI spans a gamut of considerations. Among these, the most popula...
research
10/12/2021

A Deployment Model to Extend Ethically Aligned AI Implementation Method ECCOLA

There is a struggle in Artificial intelligence (AI) ethics to gain groun...
research
11/15/2020

Good proctor or "Big Brother"? AI Ethics and Online Exam Supervision Technologies

This article philosophically analyzes online exam supervision technologi...
research
05/09/2022

A Transparency Index Framework for AI in Education

Numerous AI ethics checklists and frameworks have been proposed focusing...
research
12/10/2018

Building Ethically Bounded AI

The more AI agents are deployed in scenarios with possibly unexpected si...
research
07/02/2023

Adaptive reinforcement learning of multi-agent ethically-aligned behaviours: the QSOM and QDSOM algorithms

The numerous deployed Artificial Intelligence systems need to be aligned...
research
01/03/2023

FATE in AI: Towards Algorithmic Inclusivity and Accessibility

One of the defining phenomena in this age is the widespread deployment o...

Please sign up or login with your details

Forgot password? Click here to reset