![](https://crypto4nerd.com/wp-content/uploads/2023/06/1URG1AwL7OtCjzKwT2RXcnQ-1024x1024.png)
“In the dance of innovation, AI is not merely another step, but an entirely new choreography of thought and creation.” — — Anoop Dixit
Artificial Intelligence (#AI) has long fascinated us and will continue for some time, promising a future shaped by machines that think and act like humans, if not more adeptly. Finally, amid the 4th Industrial Revolution, after decades of developments and innovations, we are standing on the precipice of this new era — the dawn of the First Generation AI, where machines transition from passive learners to active, autonomous agents in our societies.
The current landscape of AI is vast and varied. It permeates our lives, from personal digital assistants like Siri and Alexa to the sophisticated recommendation algorithms used by Netflix and Amazon. This omnipresence might lead us to believe that we have achieved the pinnacle of AI. However, upon closer examination, it’s evident that the so-called “AI” we interact with daily is, in fact, an advanced form of machine learning (#ML).
Machine learning, a subset of AI, harnesses statistical techniques to allow machines to improve at tasks with experience. The process involves training models on extensive data, teaching them to interpret patterns, and making predictions. The models discussed and in play, used in chatbots, digital assistants, or predictive algorithms, function based on pre-existing data. They are programmed to learn from data, analyse patterns, and apply this understanding to make predictions or decisions.
However, the “intelligence” in these systems isn’t self-derived or innate; it’s a product of human-engineered data. Furthermore, these machines don’t create their data or decisions independently; they merely digest and respond to the information we feed them. Thus, the term “Artificial Intelligence” seems somewhat misleading in this context.
However, the transformation on the horizon promises to redefine our understanding of AI, bringing us to the epoch of 1st Generation AI. This Generation refers to AI models that are not just passive learners from human-fed data but active creators of their data, capable of making independent decisions. Rather than being confined to a fixed set of rules or limited to pre-existing data, these AI models will learn from their environment, generate original ideas, and make decisions based on their understanding, much akin to a human brain.
In this forthcoming era, AI systems will do more than predict your preferences based on past behaviour; they’ll anticipate your needs before you even realise them. They’ll generate new theories, create contemporary art, and even develop AI models. This is the promise of First-Generation AI.
However, as we stride towards this future, we must tread carefully. The potential of AI is immense, but it also brings a host of ethical and philosophical questions to the fore. For example, who takes responsibility for autonomous decisions made by AI models? And, more importantly, how to ensure that AI systems are fair, ethical, and unbiased? How do we retain control over AI, and to what extent should we allow AI to control our lives?
Moreover, privacy and security concerns escalate as AI creates data and information (Read my eBook). Therefore, as AI becomes more and more pervasive, safe and responsible use will grow increasingly critical.
We are already beginning to witness the early signs of humans and machines trusting one another, especially evident on factory floors across the globe. Advanced robotics and AI have started to streamline production processes, increase efficiency, and work alongside human counterparts with minimal risk of harm. This cooperative model paves the way for AI-based soft and hard robots to work autonomously, contributing to human well-being.
However, the journey to this future is fraught with challenges. Developing genuinely autonomous AI systems is a complex endeavour requiring significant technological and infrastructure advancements. It also necessitates a deep understanding of human cognition and behaviour. Moreover, as these AI systems need to navigate the intricacies of human society, their design and operation must reflect a comprehensive grasp of our norms, values, and expectations.
Moreover, the transition to the 1st Generation AI extends beyond technological advancement and brings significant ethical and societal challenges. As AI models begin making independent decisions, there is a dire need to establish robust frameworks that hold these systems accountable for their actions. It’s also crucial to ensure that AI is used responsibly and doesn’t exacerbate existing social or economic disparities.
In this context, cybersecurity emerges as a critical player. As AI systems become more autonomous, they become more attractive targets for cybercriminals. While we discuss, debate and dream of a beautiful future, remember that ensuring the security and integrity of these systems is paramount. Cybersecurity needs to mature in tandem with AI, incorporating advanced detection and prevention methods to counteract increasingly sophisticated cyber threats.
However, the role of cybersecurity in this journey isn’t confined to protection alone. It also signifies the assurance of privacy and trust. As AI systems generate their data and information, there’s an escalating need to safeguard this information and ensure its responsible use. The future of AI hinges not just on technological advancements but also on establishing robust ethical and privacy standards.
In conclusion, the emergence of 1st Generation AI signifies a new epoch in our relationship with machines. While it promises immense potential, it also presents significant challenges. As we traverse this path, we must navigate these challenges with caution and responsibility, ensuring that AI serves humanity in the most beneficial way possible.
By Anoop Dixit
The healthcare industry is revolutionised in a world where 1st Generation AI is in full swing. The concept of visiting a traditional general practitioner is replaced by the advent of advanced robotic booths, making healthcare more accessible, efficient, and personalised.
Jane, a 30-year-old working professional, starts feeling unwell one day. So instead of scheduling an appointment with a GP, she books a session with an Autonomous Health Booth (#AHB) through a specialised app. This app tracks her vitals and health history, thereby providing the AHB with crucial background information even before she arrives.
Upon entering the AHB, Jane is greeted by a friendly AI interface. The booth, equipped with cutting-edge sensors, begins conducting a comprehensive health examination, analysing her blood, saliva, and breath and checking her vitals. This process is automated and precisely calibrated to ensure comfort and accuracy.
Once the tests are completed, the AHB utilises advanced AI algorithms to analyse the results meticulously. This system can identify patterns and anomalies beyond human capability, providing a detailed and nuanced understanding of Jane’s health status.
In Jane’s case, the AI determines that she needs targeted precision medication. Without delay, the AHB dispatches the necessary data to a nearby automated pharmacy. A drone is then deployed to deliver the personalised medicine to Jane’s location. The AI’s ability to promptly analyse test results and take appropriate action effectively reduces the time to start the treatment.
In a different scenario, if the AI detects a more severe health issue that requires immediate surgery, the AHB activates an auto-driven ambulance equipped with a robotic medical team. Jane is transported to a nearby hospital, where a group of robotic surgeons is prepared for her arrival. The operation is conducted under the guidance of a surgical AI system, which has learned from millions of successful surgeries and can adapt in real time to any complications.
The precision and efficiency of the AI minimise the risks associated with the surgery and improve the chances of a successful outcome. Post-surgery, Jane is cared for by robotic nurses that monitor her vitals around the clock, administer medication, and provide assistance as needed. These robotic nurses utilise AI to identify signs of distress or complications, reacting faster than a human nurse possibly could.
This process involves minimal human involvement, from the initial diagnosis to post-operative care. AI systems handle each step, making healthcare more efficient, accurate, and personalised. Moreover, using AI minimises the risk of human error, potentially leading to improved patient outcomes.
In this mature AI future, the seamless integration of AI into healthcare allows for a revolution in how we approach medical care. From the Autonomous Health Booths to the robotic medical teams, AI’s potential to improve health outcomes and patient experiences is fully realised, marking a new era in medical history. #AutonomousHealthBooth Collective Cure
— — –
By: Anoop Dixit (Anoop Dixit)
Disruptex © | ProvenaGroup © | 14 June 2023