A personal information ecosystem for acquiring traces of individual activity has been developed as a result of intense social media contact, wearable technology, mobile applications, and widespread sensor use. These digital footprints are what people leave behind after living their whole lives online. Artificial intelligence developments have fueled our desire to create artificial agents that may learn from these digital traces to behave in a manner akin to that of a deceased person, and people now face the potential of immortalizing their thoughts, logic, and conduct. Can mortality be achieved? Are individuals ready for that? Are people ready to take it on? How do individuals feel about the idea of entrusting their digital legacy to digital avatars?
Through the integration of existing literature and a review of recent advances in AI immortality research, we want to provide insights on the viability and desirability of using AI immortality to prolong human lifespan indefinitely.
In our everyday lives, information technology plays a significant role as a tool to manage the continual information avalanche we are exposed to. We have adjusted to this constantly changing world that makes us reliant on technology. A reorientation of the information and interests that direct our actions is implied by the changes in our way of life brought on by technology. In addressing human values in the digital age, it is said that the "end of the ephemeral" is one of the fundamental shifts in how we react to technology. These alterations introduce subjects that question our view about the role of technology in our personal taboos, one of which is death. The development of artificial intelligence (AI) in recent years has sparked new discussions and hypotheses regarding the potential of humans reaching technological immortality. This paper examines the numerous features of AI human immortality, looking at both its theoretical and practical aspects.
AI Advancements Regarding Immortality:
According to Crocker and McLeod, a legacy may be anything that is left behind to endure as a form of message for people in the future, including papers, music, images, playlists, visualization histories, social network accounts, and even the hardware for storage. Except for the environment, the goals of digital and physical legacies are fairly similar.
Human-computer interaction (HCI) in Brazil and other nations still faces significant challenges, including how to recognize and allocate destinations to digital legacies. More digital legacies are being lost or made unavailable to families and loved ones as more individuals die away, either due to ignorance or apathy. 
Currently, businesses like Facebook and Google provide customers the opportunity to completely change their digital profiles into digital memorials when it has been confirmed that they have passed away.
Zhavoronkov emphasized the efforts made by Insilico to fight aging and the diseases associated with it. OncoFinder, an algorithm that studies the molecular pathways connected to the progression of cancer and aging, is one such effort. He believes that the only way to fully manage aging medically is to apply AI to it. His long-term objectives include constantly enhancing human performance and preventing and treating ailments associated with aging. 
Theoretical Framework: Can Machine Learning Unlock Insights Into Mortality?
In spite of privacy problems making it difficult to connect claims and mortality data directly, developments in privacy-preserving techniques like differential privacy may increase data accessibility and usefulness. Machine learning may be taught on this connected data when differential privacy permits claims-based linking between clinical data items and death status. In order to distinguish between disenrollment due to death and disenrollment due to changes in insurance coverage in claims-based research, providers of administrative claims databases, for example, frequently have internal access to death data. Effectively, this means making a distinction between death and administrative censorship that can be regarded as being uninformative.
Machine learning places more emphasis on empirical prediction of a result than traditional statistical approaches, which are better suited to evaluating predetermined hypotheses regardless of the model's parametric shape (explanatory power). In order to pick the best predictors for the final algorithm, machine learning techniques may quickly examine hundreds of candidate predictors utilizing data-adaptive detection of complicated patterns, such as nonlinear correlations and high-order interactions. The immortality AI & ML claims data may be used to efficiently impute missing or insufficient death status by maximizing prediction performance. 
Challenges of AI Immortality and Future Outlook:
It is incredibly challenging to replicate and maintain human consciousness or to achieve digital human immortality. It requires developing technology capable of simulating or hosting human consciousness in addition to understanding the complexity of the human brain.
The implications of artificial intelligence becoming eternal are profound. Overpopulation, resource allocation, and inequality are all issues. Additionally, issues with permission and autonomy must be addressed since people may be required to make decisions about their own digital lives.
Despite these difficulties, some academics and dreamers like Alex Zhavoronkov still want to achieve AI immortality.
AI will undoubtedly keep advancing immortality research and personalized medicine, progressively extending human life expectancy through better healthcare and disease prevention. A digital legacy or avatar representing a person's knowledge, memories, and aspirations has the potential to gain popularity. As a result, people could be able to continue their legacy after passing away naturally.
Public opinion and regulatory bodies will have a major impact on the creation and application of AI immortality technologies. The direction of research will be affected by popular opinion and cultural acceptance. Progress in AI immortality will need cooperation amongst experts in AI, neuroscientists, ethics, and legislators. Multidisciplinary approaches will be needed to address the numerous concerns at hand.
Conclusion: Can mortality be achieved?
We are currently witnessing advancements in technology that combine our human bodies with information management, data mining, and artificial intelligence. In this process of "body hacking," antenna are implanted in our brains to transform the color spectrum into distinct vibrations, allowing the user to "hear" colors. Our arms are also given chips to unlock doors and pick up metal things. While some view this as art and others as a technology play, there have been significant advancements, such as the development of bone implants that allow the attachment of a replacement limb on the skeleton and allow for natural control via brain impulses.
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