By Mark DaCosta- This series of three articles is about the dangers that the emergence of a superintelligent machine would pose to our way of life. This article – Part I – explains what such a device is, describes how it works, and lists some of its main characteristics and features. Part II discusses the wide range of dangers such a machine would pose to life on earth. Finally, Part III examines how such a technology is likely to evolve from our present-day computing devices. In other words, how are humans likely to get from where we are now technologically to the point of having a superintelligent machine in our midst in the future. The information and opinions expressed in this series are based on academic papers, articles, and presentations by recognised researchers.
Swedish philosopher Nick Bostrom defines superintelligence as “any intellect that greatly exceeds the cognitive performance of humans in virtually all domains of interest.” Bostrom is the founding director of the Future of Humanity Institute at Oxford University. The researcher, author, and thinker is arguably the most respected authority on artificial intelligence. His views are cited in almost every article on this subject. The expert is of the view that artificial intelligence will inevitably lead to the emergence of a superintelligent machine.
Superintelligent machines are said, by experts, to be computing machines of the future that have artificial general intelligence (AGI). This concept will be revisited later. Such devices are often depicted in science fiction as highly advanced and capable of surpassing human intelligence. They represent the cutting edge of artificial intelligence research. But what exactly are superintelligent machines, how will they work, and what are their key characteristics and features?
Superintelligent machines, also known as superintelligent AI or artificial general intelligence (AGI), refer to machines that possess cognitive abilities that far surpass those of human beings. These future machines are envisioned to be capable of understanding and solving complex problems, learning from experience, and exhibiting creativity and emotional intelligence. Unlike narrow AI systems – such as chatbots – which are designed for specific tasks such as image recognition or natural language processing, superintelligent machines are intended to have a broad range of cognitive abilities and the capacity for autonomous and independent thinking and decision-making.
The workings of a superintelligent machine are rooted in advanced algorithms and programs, massive computational power, and sophisticated learning mechanisms. At the core of these machines are neural networks, which are networks of electronic components that are modeled after the human brain, and are capable of processing and analysing vast amounts of data in a way that mimics how humans think. These neural networks are trained using deep learning techniques, where they are exposed to large datasets and learn to recognise patterns, make predictions, and generate novel and original solutions to problems.
Furthermore, experts write that superintelligent machines will be equipped with reinforcement learning algorithms that enable them to improve their performance through trial and error. By receiving feedback from their environment, these machines can refine their decision-making processes and optimise their behavior over time. Additionally, they may use advanced natural language processing capabilities to understand and communicate with humans, further enhancing their ability to learn and increase their knowledge base.
Superintelligent machines will possess an unparalleled capacity for problem-solving, reasoning, and decision-making. Experts say that they will be able to analyse complex scenarios, evaluate multiple options, and arrive at optimal solutions with remarkable speed and accuracy. Far faster than any human can do.
These machines will have the ability to continuously learn and adapt to new information and changing circumstances. They can assimilate knowledge from diverse sources such as the internet, update their internal models by writing their own code, and acquire new skills through self-directed exploration and introspection.
Such machines will be capable of generating new ideas, designs, and solutions that go beyond conventional human thinking. Their creative potential will extend to various domains and disciplines, including scientific research, engineering, and even artistic expression.
Some superintelligent machines, experts believe, may be designed to understand and respond to human emotions, enabling them to empathise with people and have social interactions.
Experts say that it is likely that ethical considerations will be integrated into the decision-making processes of superintelligent machines, allowing them to weigh the consequences of their actions and adhere to ethical principles and societal norms.
These machines will have the ability to make independent decisions based on their understanding of complex situations and their assessment of potential outcomes. While they may receive input from human operators, they will be capable of operating autonomously in many contexts.
Finally, it is noteworthy that almost every expert on artificial intelligence – across numerous disciplines including philosophy, neurobiology, computer science, and technology – have expressed the view that artificial intelligence research will inevitably produce superintelligent machines. Also, many experts have expressed serious concerns about the safety of such technology. What are those concerns? That question will be examined in Part II of this series.
