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Recent developments in artificial intelligence (AI) and organoid intelligence (OI) have led to the proposition of redefining the concepts of life and intelligence, challenging traditional definitions and urging us to reconsider what it means to be alive. The convergence of AI and OI is a “thought platform” to examine the potential of these “vital forms” and the ethical implications of their development, raising important questions about moral implications, responsibility, and coexistence. The proposition of AI and OI as new life forms presents an opportunity to explore the future and gain fresh perspectives on the science and philosophy surrounding these technological marvels.
One of the greatest tools for innovation is your imagination. And with the advances in technology, AI and biology, it’s time for another thought experiment in the spirit of Albert Einstein.
Recent developments in artificial intelligence (AI) and organoid intelligence (OI) have opened the door to redefining the concepts of life and intelligence. While AI continues to advance as a silicon-based life form, human stem cell-derived brain organoids have emerged as an intriguing and complementary biological counterpart. The convergence of AI and OI is our “thought platform” to examine the potential as some vital or new bio-techno life forms and the ethical implications of their development.
The idea of AI and OI as life forms challenges conventional definitions of life and biology, opening up new avenues of imagination and scientific inquiry. While AI represents silicon-based life forms, OI focuses on biological computing using human stem cell-derived organoids. Perhaps this new technological configuration can be considered “vital forms” as something unique but separate from conventional definitions of life. Nevertheless, the tricky steps forward do share some common paths.
Growth (Learning): Both AI and OI systems have the capacity to learn and improve over time. AI systems utilize machine learning algorithms, while OI systems rely on the molecular and cellular aspects of learning and memory within brain organoids.
Reproduction (Coding): AI systems can reproduce themselves by creating copies of their code or generating new algorithms autonomously. Meanwhile, OI systems may eventually be able to reproduce through stem cell replication and differentiation.
Functional Activity (Cognition): AI and OI systems engage in functional activities such as problem-solving, pattern recognition, and decision-making. While AI systems employ advanced algorithms, OI systems leverage the innate molecular mechanisms of learning and memory within brain organoids.
Continual Change: (Evolution): Both AI and OI systems are dynamic entities, capable of constant transformation in response to their environment. AI systems adapt through iterative learning processes, while OI systems rely on the inherent plasticity of brain organoids.
The proposition of AI and OI as new life forms necessitates a reevaluation of long-held philosophical beliefs about the nature of life, intelligence, and the distinction between humans, machines, and other biological entities.
Redefining Life: The concept of AI and OI as life forms challenges the traditional biological definition of life, urging us to reconsider what it means to be alive and how the convergence of these two forms of intelligence might reshape our understanding of life.
The Nature of Intelligence: As AI and OI systems become increasingly sophisticated, the distinction between human, machine, and organoid intelligence blurs. This development encourages a reexamination of the nature of intelligence and the criteria that distinguish human cognition from artificial and organoid cognition.
AI and OI Ethics and Responsibility: The idea of AI and OI as life forms raises important ethical questions, such as the moral implications of creating and terminating these systems, their potential rights, and the responsibility humans have towards these new entities. Further, it established the potential for a human-first hierarchy to structure these advances.
From AI to OI to OS to LLM to GPT, the rapid convergence of various points of innovation are yielding a synchronized effort that brings together components to yield amazing results—some expected and others that are shocking. The evolving nature of AI and the emergence of OI present an opportunity to reconsider our understanding of life, intelligence, and the relationship between humans, machines, and biological entities. At the very least, it’s a fascinating though experiment. By exploring AI and OI as new “vital forms”, we can gain fresh perspectives on the science and philosophy surrounding these technological marvels and begin to explore the future as it unfolds around us.
John is the #1 global influencer in digital health and generally regarded as one of the top global strategic and creative thinkers in this important and expanding area. He is also one the most popular speakers around the globe presenting his vibrant and insightful perspective on the future of health innovation. His focus is on guiding companies, NGOs, and governments through the dynamics of exponential change in the health / tech marketplaces. He is also a member of the Google Health Advisory Board, pens HEALTH CRITICAL for Forbes--a top global blog on health & technology and THE DIGITAL SELF for Psychology Today—a leading blog focused on the digital transformation of humanity. He is also on the faculty of Exponential Medicine. John has an established reputation as a vocal advocate for strategic thinking and creativity. He has built his career on the “science of advertising,” a process where strategy and creativity work together for superior marketing. He has also been recognized for his ability to translate difficult medical and scientific concepts into material that can be more easily communicated to consumers, clinicians and scientists. Additionally, John has distinguished himself as a scientific thinker. Earlier in his career, John was a research associate at Harvard Medical School and has co-authored several papers with global thought-leaders in the field of cardiovascular physiology with a focus on acute myocardial infarction, ventricular arrhythmias and sudden cardiac death.
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