Abstract

The paper presents cyber systems especially based on artificial intelligence (AI) from a perspective of ecological safety for humanity. The study provides a definition of ecological safety of AI and discusses its relevance to a modern science and society, as well as reviews risks of smart AI systems.

Highlights

  • The main difference among artificial intelligence (AI) systems is a goal or task they can solve

  • Most modern AI systems are designed to solve narrow tasks with many limitations or assumptions: translation systems, face recognition, medical diagnostic systems, autopilots etc. Some of such neural network systems try to imitate some of human brain functionality aspects [1], [2]

  • Ensuring that AI project conforms with ethical principles taking into consideration the impact it may have on affected users, stakeholders, and environment;

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Summary

INTRODUCTION

The main difference among AI systems is a goal or task they can solve. Most modern AI systems are designed to solve narrow tasks with many limitations or assumptions: translation systems, face recognition, medical diagnostic systems, autopilots etc. The AI safety problem becomes more and more important due to the rapid development of computer hardware and software; its broad implementation in many spheres of human activity such as finance, medicine, education, entertainment etc.; the lack of understanding and control of smart computer system development and usage; the number of in-code bugs and errors in the final release of intelligent systems. The research in this area is still at its early stage and, at the same time, is critically important to development and safety of humankind. Even if a smart computer for some algorithmic reason will decide to make humans happy, it will use its digital sense and logic that may be implemented in a very strange and cruel way

ATTEMPTS OF MAKING AI SAFER
GOAL-BASED APPROACH TO AI SAFETY
EXPLAINABILITY OF AI
RISKS OF INTELLIGENT AI SYSTEMS
ECOLOGICAL SAFETY OF AI
CONCLUSION
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