Artificial Intelligence for Climate Hazards

Preface

List of Figures

List of Tables  

The Main Objective of the Scientific Discussion

Introduction

Conclusions

References

Artificial Intelligence as a Research Object in Management and Climate Sciences and as a Practical Tool for Modern Business Solutions

Introduction

A critical threshold for halting climate change through a technological spiral based on artificial intelligence solutions

Artificial intelligence in the space of business, the economy and society

Artificial intelligence and its application in modern technological and industrial systems

Development of the theory of artificial intelligence from the evolutionary perspective and the dynamics of organizational–management and technical–operational changes of companies

Sources of the concept of artificial intelligence and its potential among climate-smart organizations

The essence of artificial intelligence in the context of key definitions

The issue of the consciousness of artificial intelligence in the processes of its use

Artificial intelligence in management sciences and climate sciences

Standardization of artificial intelligence in organizational and management processes

Artificial intelligence from the perspective of digital transformation as a new dimension of shaping the economic and social reality

Conclusions

References

Systematic Literature Review—Description of the Landscape of AI Research

Introduction

Methodological assumptions for a systematic literature review

Summary of the systematic literature review and main conclusions

Conclusions

Artificial Intelligence—Key Meanings and Interpretations in the Context of Climate Change

Introduction

Artificial intelligence versus non-artificial (natural) intelligence from the perspective of climate change

Artificial intelligence against the background of climate change determinants

Industry 4.0, Industry 5.0 and artificial intelligence applications in climate management

Big Data and climate management

Artificial intelligence in applications for co-production and climate change

Superintelligence based on synthetic data and its use in climate management

Bio-inspiration and self-organizing systems in artificial intelligence and climate management

Artificial and biological neural networks as a tool for self-organization and the creation of structures capable of learning, adaptation and creativity and climate management

Evolutionary algorithms in climate change management processes

Real-time self-organization and adaptation mechanisms in climate management processes

Irresponsible artificial intelligence and its risks in effective climate management

Ethics and the legal dimension in the world of artificial intelligence as a component of digital and technological security in socio-economic ecosystems focused on climate change

Conclusions

References

Artificial Intelligence and an Overview of Selected Solutions for Creating Positive Climate Changes

Introduction

Climate change as a multidimensional global problem and artificial intelligence

Creative artificial climate intelligence in climate change management processes

Artificial intelligence in strategic climate information management

Artificial intelligence technologies in building digital business models of companies positively influencing climate change

Digital business models based on artificial intelligence solutions that have a positive impact on climate change

AI business models and their application in climate management

Positive climate impact as a result of the use of digital business models and strategies based on artificial intelligence solutions

Generative design in climate change management

Smart algorithms and their impact on the design of free natural space

The overview of selected artificial intelligence solutions for creating positive climate changes

Artificial Intelligence in shaping digital business models that positively impact climate change

Conclusions

References

Climate Hazard Management Mechanisms using Artificial Intelligence Solutions

Introduction

Artificial intelligence in climate hazard management

The largest sources of uncertainty related to global warming and climate change and the effects of climate change on human and animal health versus artificial intelligence solutions

National, regional and global security and cybersecurity and the impact of climate change

Climate security and artificial intelligence

Critical infrastructure management by means of artificial intelligence versus climate change

Artificial intelligence mechanisms in climate hazard management, related constructs

Artificial intelligence, algorithmization and algocracy in climate risk management

Artificial intelligence in the climate hazard management audit – security and cybersecurity aspects

Weather forecasting and climate change modelling by means of AI solutions

Carbon capture, satellite observation and pollution detection by means of artificial intelligence solutions

Carbon footprint verification by means of artificial intelligence

Climate transformation based on digital solutions as a dynamic process of social and economic change

Conclusions

References  

Contextualization of the Place and Role of Artificial Intelligence in Climate Hazard Management

Introduction

The state of knowledge of climate hazard management

Creating new climate products in the circular economy using artificial intelligence

Analog operational security and physical protection systems, operational cybersecurity and cyber protection systems and climate change

Secure management of core climate data and artificial intelligence

The Climate-Changing Digital Twin as a new solution to climate hazards

Conclusions

References

The Authors’ Original Concept for the Development of the Evolutionary Cycle of Climate Business Models—From Sustainable Business Models to AI Climate-Changing Business Models

Introduction

Conclusions

The Authors’ Original Concept of Climate Hazard Management by Means of Artificial Intelligence

Introduction

Conclusions

The Authors’ Original Concept of Developing AI Mechanisms and Solutions in Climate Hazard Management

Introduction

Conclusions

References

The Authors’ Original Spiral of Knowledge on the use of Artificial Intelligence Mechanisms to Solve Problems in the Field of Climate Hazards and Climate Change

Introduction

Conclusions

References  

Discussion of Research Results – Conclusions for Theory, Practice, Future Research Directions and Limitations of the Research Process, Theoretical Implications, Practical Implications, Potentially Interesting Future Research Directions, Research Limitations

Introduction

Conclusions

References

Recommendations and Strategic Axioms for the Development of Artificial Intelligence in Climate Hazard Management

Introduction

Conclusions

Conclusion

Index

Biography

Adam Jabłoński is a Full Professor at WSB MERITO University in Poznan, Poland. He is also Vice-President of the Board of the reputable management consulting company “OTTIMA plus” Sp. z o.o. (Ltd.), Katowice, and President of the “Southern Railway Cluster” Association, Katowice. He conducts extensive research on the design and implementation of business models that positively impact the climate, considering the principles of Digital and Climate Transformation supported by Artificial Intelligence solutions. Adam Jabłoński’s scientific interests focus also on climate responsibility concept.

Marek Jabłoński is an Associate Professor at WSB MERITO University in Poznan, Poland. He is also President of the Board of the reputable consulting company “OTTIMA plus” Sp. z o.o. (Ltd.), Katowice, and Vice-president of the “Southern Railway Cluster” Association, Katowice. Marek Jabłoński’s scientific interests focus on the business models concept, as well as climate-changing aspects and Digital and Climate Transformation supported by Artificial Intelligence solutions. He conducts extensive research on socio-technical systems with using evidence-based management concept.