Does science lead world on the path to progress?
Published: 04:12 PM,Dec 16,2024 | EDITED : 08:12 PM,Dec 16,2024
Science and the path to progress
We have grown accustomed to a logical reality affirming that we, as humans, guide science and shape its trajectory, using it to define our path and evolution.
We know that science emerges from a region of doubt, where perplexing questions arise. Yet this logical path has reached new twists that surpass traditional skepticism, moving beyond the relative philosophy still bound by the human mind.
Tasks are now entrusted to a non-human, digital brain - an AI-that lacks the logic of doubt and instead embraces open-ended probabilities, foretelling a new future for science in which it leads humanity and shapes its destiny.
In a previous article, I mentioned how the world’s astonishment at artificial intelligence has shifted. Previously, we were amazed by AI’s nature and its unique form of intelligence. Now, the wonder resides in its scientific contributions, its general and objective role that promises to transform human civilisation.
One such transformation will be through digital biological evolution, a development that will rekindle the sense of wonder surpassing our initial awe at AI itself.
Genomics and genetic engineering represent highly complex sciences that the human mind has strived to establish and decode. We might consider this field akin to the legendary ‘philosopher’s stone', granting humanity something like immortality by uncovering life’s secrets and repairing its flaws. The complexity stems from vast biological data and the intricate genetic entanglements interacting with the nitrogenous bases that form DNA.
Alongside genetic mutations and their influence on our life paths - traced through genetic analysis - AI now stands ready to address the challenges of genetic complexity. Asking “Where is science leading us?” no longer hesitates: science itself is increasingly wielded by AI.
Armed with the universal language of mathematics, AI harnesses the data of existence, including our biological data. It delves deeply into our biological world, bringing about a new state of wonder. Through these tools, we might grasp a 'philosopher’s stone' that helps us accurately predict future health, identify emerging diseases and find ways to preempt them. Future generations may benefit from genetic pre-adjustments, ensuring bodies free of certain diseases or disabilities. Still, all this amazement remains relative and will eventually collide with the law of mortality.
With AI’s assistance, science aims to find ever more precise and rapid solutions to problems in gene engineering and related advanced fields. AI algorithms, applied to enormous biological datasets, enable faster progress. Consider gene editing via CRISPR-Cas9: this tool can correct the genetic system responsible for health issues, many of which stem from inherited genetic mutations we cannot accept or reject at will. AI accelerates this scientific leap by navigating the intricacies of gene editing more efficiently, expanding humanity’s potential beyond digital surprises into the profound astonishment hidden within our biological code.
Among the AI-driven tools paving the way is ‘DeepCRISPR,’ employing deep learning algorithms to predict unintended off-target sites based on DNA sequences. Meanwhile, tools like ‘CRISPR-Net’ help choose the most suitable molecules for genetic editing, reflecting the growing precision and sophistication AI brings to this field.
These rapid scientific developments in biology achieved through coupling digital intelligence with genomic knowledge allow us to read and interpret our internal biological library. We can uncover secrets that might only reveal themselves in the future through diseases that today seem insoluble. By assisting in drug development and effective treatments, AI-driven genetics ushers in a promising era.
However, with these bright prospects come unsettling gaps. Our biological data, in the age of digital proliferation, may be vulnerable if not safeguarded by legal and ethical frameworks.
Genetic analysis, akin to a unique biological fingerprint, can expose personal secrets to those who hold such data and know how to decode it. This could lead to malicious uses like designing biological weapons or transforming private genetic information into security data exploited by hostile entities.
Thus, it is crucial to impose legal boundaries that limit ‘genetic theft’, the systematic appropriation of biological data. A thorough and independent exploration of these issues is necessary, guided by scientific understanding of the biological system and complemented by societal and security awareness.
We know that science emerges from a region of doubt, where perplexing questions arise. Yet this logical path has reached new twists that surpass traditional skepticism, moving beyond the relative philosophy still bound by the human mind.
Tasks are now entrusted to a non-human, digital brain - an AI-that lacks the logic of doubt and instead embraces open-ended probabilities, foretelling a new future for science in which it leads humanity and shapes its destiny.
In a previous article, I mentioned how the world’s astonishment at artificial intelligence has shifted. Previously, we were amazed by AI’s nature and its unique form of intelligence. Now, the wonder resides in its scientific contributions, its general and objective role that promises to transform human civilisation.
One such transformation will be through digital biological evolution, a development that will rekindle the sense of wonder surpassing our initial awe at AI itself.
Genomics and genetic engineering represent highly complex sciences that the human mind has strived to establish and decode. We might consider this field akin to the legendary ‘philosopher’s stone', granting humanity something like immortality by uncovering life’s secrets and repairing its flaws. The complexity stems from vast biological data and the intricate genetic entanglements interacting with the nitrogenous bases that form DNA.
Alongside genetic mutations and their influence on our life paths - traced through genetic analysis - AI now stands ready to address the challenges of genetic complexity. Asking “Where is science leading us?” no longer hesitates: science itself is increasingly wielded by AI.
Armed with the universal language of mathematics, AI harnesses the data of existence, including our biological data. It delves deeply into our biological world, bringing about a new state of wonder. Through these tools, we might grasp a 'philosopher’s stone' that helps us accurately predict future health, identify emerging diseases and find ways to preempt them. Future generations may benefit from genetic pre-adjustments, ensuring bodies free of certain diseases or disabilities. Still, all this amazement remains relative and will eventually collide with the law of mortality.
With AI’s assistance, science aims to find ever more precise and rapid solutions to problems in gene engineering and related advanced fields. AI algorithms, applied to enormous biological datasets, enable faster progress. Consider gene editing via CRISPR-Cas9: this tool can correct the genetic system responsible for health issues, many of which stem from inherited genetic mutations we cannot accept or reject at will. AI accelerates this scientific leap by navigating the intricacies of gene editing more efficiently, expanding humanity’s potential beyond digital surprises into the profound astonishment hidden within our biological code.
Among the AI-driven tools paving the way is ‘DeepCRISPR,’ employing deep learning algorithms to predict unintended off-target sites based on DNA sequences. Meanwhile, tools like ‘CRISPR-Net’ help choose the most suitable molecules for genetic editing, reflecting the growing precision and sophistication AI brings to this field.
These rapid scientific developments in biology achieved through coupling digital intelligence with genomic knowledge allow us to read and interpret our internal biological library. We can uncover secrets that might only reveal themselves in the future through diseases that today seem insoluble. By assisting in drug development and effective treatments, AI-driven genetics ushers in a promising era.
However, with these bright prospects come unsettling gaps. Our biological data, in the age of digital proliferation, may be vulnerable if not safeguarded by legal and ethical frameworks.
Genetic analysis, akin to a unique biological fingerprint, can expose personal secrets to those who hold such data and know how to decode it. This could lead to malicious uses like designing biological weapons or transforming private genetic information into security data exploited by hostile entities.
Thus, it is crucial to impose legal boundaries that limit ‘genetic theft’, the systematic appropriation of biological data. A thorough and independent exploration of these issues is necessary, guided by scientific understanding of the biological system and complemented by societal and security awareness.