Cogniculture: Towards a Better Human-Machine Co-evolution

TL;DR

This paper proposes a new paradigm called Cogniculture, where humans and machines co-evolve within a complex ecosystem, collaborating ethically to produce social goods and ensure sustainable development.

Contribution

It introduces the concept of cognitive agents in a co-evolutionary ecosystem and discusses governance, challenges, and future research directions for human-machine collaboration.

Findings

Identifies key research challenges and technological barriers.

Proposes a governance mechanism for ethical behavior.

Outlines use-cases and a roadmap for Cogniculture.

Abstract

Research in Artificial Intelligence is breaking technology barriers every day. New algorithms and high performance computing are making things possible which we could only have imagined earlier. Though the enhancements in AI are making life easier for human beings day by day, there is constant fear that AI based systems will pose a threat to humanity. People in AI community have diverse set of opinions regarding the pros and cons of AI mimicking human behavior. Instead of worrying about AI advancements, we propose a novel idea of cognitive agents, including both human and machines, living together in a complex adaptive ecosystem, collaborating on human computation for producing essential social goods while promoting sustenance, survival and evolution of the agents' life cycle. We highlight several research challenges and technology barriers in achieving this goal. We propose a governance mechanism around this ecosystem to ensure ethical behaviors of all cognitive agents. Along with a novel set of use-cases of Cogniculture, we discuss the road map ahead for this journey.