Abstract

Intelligence and consciousness have fascinated humanity for a long time and we have long sought to replicate this in machines. In this work we show some design principles for a compassionate and conscious artificial intelligence. We present a computational framework for engineering intelligence, empathy and consciousness in machines. We hope that this framework will allow us to better understand consciousness and design machines that are conscious and empathetic. Our hope is that this will also shift the discussion from a fear of artificial intelligence towards designing machines that embed our cherished values in them. Consciousness, intelligence and empathy would be worthy design goals that can be engineered in machines.

Highlights

  • We introduce a computational framework for designing artificial consciousness and artificial intelligence with empathy

  • Consciousness, intelligence and empathy would be worthy design goals that can be engineered in machines

  • We present a computational framework for engineering intelligence, empathy and consciousness in machines

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Summary

Introduction

We introduce a computational framework for designing artificial consciousness and artificial intelligence with empathy. The deep learning framework will analyze this data and form a concept of a period of a pendulum. The consciousness module (Figure 4) is a deep learning network with feedback to analyze itself. Humans will interact with the explainability module to understand why these particular actions were taken or concepts formed.

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