1st Edition
The Mental Health of Gifted Intelligent Machines AI and the Mirror of Human Psychology
The Mental Health of Gifted Intelligent Machines explores the increasingly sophisticated behaviours of developing AI and how we can ensure it will have emotional resilience, ethical strength and an ability to think in a new and enhanced way. Its primary aim is to change how we understand the world by investigating humanity as an intelligent being, examining and contrasting human and artificial intelligence.
The book considers what we can learn from the likely mental health issues that will occur with increasingly sophisticated aspects of machine intelligence and how they will reflect the human condition. It asks questions about our identity in a deeply uncertain and disruptive ever-changing world; how we will improve and enhance our psychological intelligence to meet the increasing complications and demands of the future; and what we need to do, now, to be psychologically intelligent enough to live a full meaningful life in a new world evolving around us. The book argues that changes in our understanding of mental health, psychology and our view of intelligence will challenge huge aspects of our fundamental beliefs and assumptions and that it is essential we explore new arenas to further understand both our own human psychological issues and mental health as we develop gifted intelligent machines.
It is a must read for all students, researchers and professionals involved with AI, gifted education, consciousness and mental health.
List of figures
List of tables
Preface
Acknowledgements
Disclaimer
Foreword (i)
Foreword (ii)
Introduction
Reflective practice
Part I. Darkside when All is Otherwise
1. Mental health in the mirror of AI
1.i. Reflective practice
References
Suggested further reading.
2. Psychopaths: the survival experts
2.i. Reflective practice
References
Suggested further reading.
3. Humour – a unique survival tool
3.i. Reflective practice
References
Suggested further reading.
Part II: Mental abilities in the mirror of AI
4. The twice exceptional (2e) gifted learner: embracing neurodiversity and AI, the hidden potential
4.i. Reflective practice
References
Suggested further reading.
5. Spiritually and sexuality: the possible futures of robot-human sexual – spiritual relationships
5.i. Reflective practice
References
Suggested further reading.
6. The reasonable machine and we
6.i. Reflective practice
References
Suggested further reading.
Part III. Identity
7. The development of the identity of human beings and machines
7.i. Reflective practice
References
Suggested further reading.
8. The future of identity: people, machines, and curious cognition
8.i. Reflective practice
References
Suggested further reading.
Part IV. A post-who-knows-what
9. A poetical scientific proposal
9.i. Reflective practice
References
Suggested further reading.
10. Patterns of future change
10.i. Reflective practice
References
Suggested further reading.
11. Conjoining intelligences: human-AI integration
11.i. Reflective practice
References
Suggested further reading.
12. The psychology of machines: exploring human-machine interaction
12.i. Reflective practice
Reference
Suggested further reading.
13. Preparing for the post-future
13.i. Reflective practice
Reference
Suggested further reading.
14. When history ends in a moment
14.i. Reflective practice
References
Suggested further reading.
Postscript (i)
Postscript (ii)
Afterword
Appendices
References
Glossary
Index
Biography
John Senior is a writer and a visiting senior researcher at the Institute for Cognitive Neuroscience and Psychology of the Hungarian Academy. He lectures on atypical learners and gifted creatives. Publications include AI and Developing Human Intelligence (Senior & Gyarmathy, 2022), Effective Learning and Wellbeing (Philo and Senior 2023) and enrichment activities that stimulate independent thinking. His research concerns the impact of mental health issues affecting human intelligence (HI), well-being and potential psychodynamic mental health issues of gifted artificial intelligent machines (GAIM).
Éva Gyarmathy is a professor at the Apor Vilmos Catholic College and a senior researcher at the Institute of Cognitive Neuroscience and Psychology. Her research interest focuses on the challenges of the 21st century, like AI, and with it on talent associated with specific learning difficulties, ADHD and/or autism spectra and other neurodiversity. She is a lecturer at several universities. She is also a consultant to schools that serve children and adolescents who could not be integrated into mainstream schools. She founded the Atypical Development Methodology Centre, the Adolescent and Adult Dyslexia Centre and the Special Need Talent Support Council.
