Bets for the year 2077 and before that as seen by GPT-3
Artificial intelligence is set to grow over the next 6 years and it is difficult to think of an industry that it will not impact in some way. It will not just be another piece of technology; it will alter the way we live and work on countless levels. It will evolve. We will see more integration of Machine Learning, Internet of Things, Personal Assistants, and Speech and Image recognition.
We will be able to create products and services that can be produced quickly and which are in touch with what people want. Can all these industries afford not to make use of this technology? The answer is a resounding no. It will change the face of everything.
How will it affect our daily lives? In the future, robots won’t be a novelty item anymore. They will occupy our factories and city-street corners as cleaners and cooks, and help us to run our homes and offices. Customer service desks will be dominated by robots. Cities will become smarter and rely on them to maintain the infrastructure and avoid traffic jams. We will see a rise in the use of drones in the future and a growth in autonomous vehicles. Our social media use will be revolutionised by robots who will write our tweets or comments.
Some fears were raised about a robot rebellion which is usually referred to as the ‘Skynet Effect’. However the hypothetical effect is based on false assumptions. Robots have the potential to be biased. However, there is a difference between offering a range of choices and arbitrarily controlling systems.
For instance, there is a spectrum of responses a teacher can give to a student. These range from praise, to a silent rebuke to a punishment. However the teacher cannot choose to give the student a zero score in a test as this arbitrary degradation of information is not in the domain of what a teacher does. These days self-learning algorithms are popular in many industries. In these cases the algorithm is supplied with a problem to solve. And the algorithm is only offered a range of options to approach the problem. Furthermore the algorithm is continuously paced so it cannot go rogue. This is similar to how humans learn. It is very common that a child can be conditioned to become a certain type of person. However it is the parents or the mentors who do this conditioning. And it is the human teachers who guide their students this way. It is important that robots do not make choices on their own.
Artificial intelligence (AI) is a broad material where a wide range of concrete topics such as psychology, cognitive sciences, computer science, linguistics etc. converge and which are investigated by specialized research fields like computational linguistics, cognitive sciences, neural networks research, etc. In this framework, we will focus on the different problems that arise from the inadequate consideration of human behavior and will address their solutions in an Artificial Intelligence — Human Artificial Intelligence approach (AI-HAI). Among the different aspects we will address, we will analyze the perception of human beings from the Perspective of Human Data Science, the different types of skills that human beings possess, and the different languages that they have developed to communicate.
The first group of paradigm shifts pertains to isolated, specific and individual situations. The paradigm shift that human beings make from a dinosaur to a Homo sapiens is an example of this kind. This is because it only pertains to a specific situation. For example, a snake can shift its paradigm from camouflage to attacking in the course of a single prey. This is too isolated a shift, as it is unlikely to relate to other situations. Ultimately, you can say that this kind of shift is too specific and is unable to make comprehensive changes in the way humans act and think. In the other words, it can be said that isolated paradigm shifts are epiphenomenal and will not allow the creation of a meta-system.
On the other hand, the second group of paradigm shifts pertains to a more overarching set of principles. At least two paradigms must change in relation to each other for this to happen. This type of paradigm shift can result in much more comprehensive changes. They can create a meta-system that changes the normative way humans interact with each other. So, you can call this type of shift, holistic. The shift argument that human beings make from an individualist society to a society where equality is the norm is an example of holistic paradigm shift. This is because there are several ways in which progressive movements in history have allowed humans to consider equality as an overarching principle, whereas in the past they had been considered as a condition of philosophy and science.
What will happen with humans in 2077 is that some of us will be uploaded into computers while others will be sent into space to colonize new worlds. The prospect of technological singularity has become a popular topic among futurists. Ray Kurzweil first introduced the term in the early 2000s. In the past four decades, technological progress has been averaging doubling about every two years. It’s not far fetched to imagine that the progress of twenty years ago is more than we’ve accomplished in the next ten.
As such, in thirty years perhaps we will have all the technology required to upload our minds, sail through space among the stars and much more. At this point in time a lot of it might indeed be science fiction.
Disclaimer: this text was generated using GPT-3 using some minor edits by the author.