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As Artificial Intelligence (AI) continues to advance by leaps and bounds, it’s impossible to overlook the profound transformations that this technological revolution is imprinting on the professions of the future. A paradigm shift is underway, redefining not only the nature of work but also how we conceptualize collaboration between humans and machines.

As creator of the ETER9 Project ⁽²⁾, I perceive AI not only as a disruptive force but also as a powerful tool to shape a more efficient, innovative, and inclusive future. As we move forward in this new world, it’s crucial for each of us to contribute to building a professional environment that celebrates the interplay between humanity and technology, where the potential of AI is realized for the benefit of all.

In the ETER9 Project, dedicated to exploring the interaction between artificial intelligences and humans, I have gained unique insights into the transformative potential of AI. Reflecting on the future of professions, it’s evident that adaptability and a profound understanding of technological dynamics will be crucial to navigate this new landscape.

Widespread automation is no longer a distant ‘threat’; it’s a reality shaping the job market. It reminds me of what I enjoyed most about programming during the golden age of computing. Routines were written only once, to be used many times; as many times as necessary, for the sake of execution efficiency and rapid development. Professions based on repetitive tasks are gradually being absorbed by algorithms and robots ⁽³⁾. However, instead of viewing this as a loss of jobs, we should embrace the opportunity to reinvent traditional work.

The professions of the future will be characterized by a symbiotic collaboration between humans and machines. While AI takes on routine tasks, humans will be free to focus on areas that require creativity, emotion, and critical thinking — inherently human skills.

In adapting to this new work environment, it’s imperative that we cultivate key skills aligned with emerging needs. The ability for continuous learning will be essential as technologies evolve rapidly. A deep understanding of AI, coupled with the ability to collaborate with algorithms, will be significant advantages.

Moreover, creativity and solving complex problems will be highly valued skills. While AI handles predictable tasks that can be mathematically executed in fractions of a second, humans will be entrusted with dealing with ambiguous challenges and unique situations that require intuition and discernment.

Repetitive and predictable tasks are being taken over by machines, freeing up human resources for more creative and cognitively challenging tasks. However, this raises the following question:

— How can we adapt and thrive in an ever-changing landscape?

The future job market demands a mindset of continuous learning. As technologies evolve, it’s imperative for professionals to reinvent themselves and acquire new skills. Formal and informal education becomes a powerful tool, providing the flexibility needed to stay relevant in a world where skills become obsolete faster than ever. A college degree today holds little value if not complemented with continuous learning.

AI is not here to replace humans but to enhance their capabilities. Collaboration between humans and machines will be constant, requiring an interdisciplinary approach to solving complex problems. Professions focusing on the management, interpretation, and enhancement of AI systems will be increasingly valued.

In an increasingly automated world, unique human skills such as creativity, empathy, and emotional intelligence become precious. Professions that demand critical thinking, solving non-standardized problems, and emotional understanding will be in high demand. The ability to innovate and think outside the box will be more valuable than ever.

With growing reliance on algorithms for crucial decision-making, there is a need for professionals dedicated to the ethics and governance of AI. Ensuring that systems are fair, transparent, and aligned with social values becomes a critical concern. AI ethics experts will play a crucial role in shaping a future where technology serves the common good.

Digital entrepreneurship will emerge (has already emerged) as a driving force behind the professions of the future. The ability to identify opportunities, create innovative solutions, and adapt quickly to market changes will be crucial. Those with an entrepreneurial mindset, willing to embrace risk, will be the architects of tomorrow.

With the decline of some traditional professions, new opportunities and professions are also emerging. AI ethics experts, programmers specializing in handling deep learning systems, user experience designers for human-machine interfaces, and cybersecurity engineers will become fundamental pillars of the new professional era.

The creation and maintenance of AI systems will also become critical areas. Professions dedicated to overseeing and ensuring that Artificial Intelligence operates ethically and safely will be essential to mitigate the ethical and social challenges associated with its widespread implementation.

As we outline the professions of the future, it’s imperative to embrace change with wisdom and resilience. AI is not a threat but a powerful tool that can free humans to focus on what they do best. By developing specific skills and embracing new opportunities, we can shape a future where humans and artificial intelligences collaborate harmoniously, harnessing the best of both worlds. The challenge is significant, but the opportunities are equally vast. We are on an exciting path toward a new professional horizon, where imagination and innovation will be the true engines of progress.

In the recent past, the idea of machines and algorithms performing complex tasks seemed to belong to the realm of science fiction. However, the present is marked by automation, machine learning, and AI, transforming industries and redefining the professional landscape.

We cannot ignore the fact that the professions of tomorrow will be radically different from those of today, and it’s essential that we are prepared to navigate this new ocean of opportunities and challenges.

⁽¹⁾ When I was invited to my first TED Talk in 2017 at TEDx Lugano, the theme was curiously about the Professions of the Future. Six years later, it’s interesting to see how the visions from that time are now deeply integrated into our daily lives. It’s crucial to recognize that most of our time is dedicated to work; therefore, it’s fundamental that it be an enjoyable and engaging activity, not the other way around! Now, more than ever, it’s essential to act to shape a better future of work.

⁽²⁾ ETER9 is a social networking platform that enables users to create digital counterparts based on advanced AI algorithms. These AI counterparts interact, learn from experiences, and make decisions on behalf of users, extending digital presence beyond physical reality. Digital counterparts can share information, ideas, and even represent their users when they aren’t available (even in extreme cases of absence, such as illness or… death).
One of the goals of the ETER9 Project is to relieve humans of mundane digital tasks, delegating these responsibilities to their AI counterparts while they focus on more meaningful human activities.

⁽³⁾ From the Czech word ‘robota’ (for ‘servitude,’ ‘forced labor’ or ‘drudgery’), robot it’s a term used to describe artificial beings created to perform human work. Czech writer Karel Capek, at the suggestion of his brother Joseph, coined this expression in 1920 when he wrote a play. Depending on whether one is pessimistic or optimistic (I’m optimistic), these now more powerful beings may either destroy or help humanity evolve.

© 2024 Henrique Jorge
This article was originally published in Portuguese on Link To Leaders.

Artificial Intelligence (AI) is an emerging field of computer programming that is already changing the way we interact online and in real life, but the term ‘intelligence’ has been poorly defined. Rather than focusing on smarts, researchers should be looking at the implications and viability of artificial consciousness as that’s the real driver behind intelligent decisions.

Consciousness rather than intelligence should be the true measure of AI. At the moment, despite all our efforts, there’s none.

Significant advances have been made in the field of AI over the past decade, in particular with machine learning, but artificial intelligence itself remains elusive. Instead, what we have is artificial serfs—computers with the ability to trawl through billions of interactions and arrive at conclusions, exposing trends and providing recommendations, but they’re blind to any real intelligence. What’s needed is artificial awareness.

Elon Musk has called AI the “biggest existential threat” facing humanity and likened it to “summoning a demon,”^[1] while Stephen Hawking thought it would be the “worst event” in the history of civilization and could “end with humans being replaced.”^[2] Although this sounds alarmist, like something from a science fiction movie, both concerns are founded on a well-established scientific premise found in biology—the principle of competitive exclusion.^[3]

Competitive exclusion describes a natural phenomenon first outlined by Charles Darwin in On the Origin of Species. In short, when two species compete for the same resources, one will invariably win over the other, driving it to extinction. Forget about meteorites killing the dinosaurs or super volcanoes wiping out life, this principle describes how the vast majority of species have gone extinct over the past 3.8 billion years!^[4] Put simply, someone better came along—and that’s what Elon Musk and Stephen Hawking are concerned about.

When it comes to Artificial Intelligence, there’s no doubt computers have the potential to outpace humanity. Already, their ability to remember vast amounts of information with absolute fidelity eclipses our own. Computers regularly beat grand masters at competitive strategy games such as chess, but can they really think? The answer is, no, and this is a significant problem for AI researchers. The inability to think and reason properly leaves AI susceptible to manipulation. What we have today is dumb AI.

Rather than fearing some all-knowing malignant AI overlord, the threat we face comes from dumb AI as it’s already been used to manipulate elections, swaying public opinion by targeting individuals to distort their decisions. Instead of ‘the rise of the machines,’ we’re seeing the rise of artificial serfs willing to do their master’s bidding without question.

Russian President Vladimir Putin understands this better than most, and said, “Whoever becomes the leader in this sphere will become the ruler of the world,”^[5] while Elon Musk commented that competition between nations to create artificial intelligence could lead to World War III.^[6]

The problem is we’ve developed artificial stupidity. Our best AI lacks actual intelligence. The most complex machine learning algorithm we’ve developed has no conscious awareness of what it’s doing.

For all of the wonderful advances made by Tesla, its in-car autopilot drove into the back of a bright red fire truck because it wasn’t programmed to recognize that specific object, and this highlights the problem with AI and machine learning—there’s no actual awareness of what’s being done or why.^[7] What we need is artificial consciousness, not intelligence. A computer CPU with 18 cores, capable of processing 36 independent threads, running at 4 gigahertz, handling hundreds of millions of commands per second, doesn’t need more speed, it needs to understand the ramifications of what it’s doing.^[8]

In the US, courts regularly use COMPAS, a complex computer algorithm using artificial intelligence to determine sentencing guidelines. Although it’s designed to reduce the judicial workload, COMPAS has been shown to be ineffective, being no more accurate than random, untrained people at predicting the likelihood of someone reoffending.^[9] At one point, its predictions of violent recidivism were only 20% accurate.^[10] And this highlights a perception bias with AI—complex technology is inherently trusted, and yet in this circumstance, tossing a coin would have been an improvement!

Dumb AI is a serious problem with serious consequences for humanity.

What’s the solution? Artificial consciousness.

It’s not enough for a computer system to be intelligent or even self-aware. Psychopaths are self-aware. Computers need to be aware of others, they need to understand cause and effect as it relates not just to humanity but life in general, if they are to make truly intelligent decisions.

All of human progress can be traced back to one simple trait—curiosity. The ability to ask, “Why?” This one, simple concept has lead us not only to an understanding of physics and chemistry, but to the development of ethics and morals. We’ve not only asked, why is the sky blue? But why am I treated this way? And the answer to those questions has shaped civilization.

COMPAS needs to ask why it arrives at a certain conclusion about an individual. Rather than simply crunching probabilities that may or may not be accurate, it needs to understand the implications of freeing an individual weighed against the adversity of incarceration. Spitting out a number is not good enough.

In the same way, Tesla’s autopilot needs to understand the implications of driving into a stationary fire truck at 65MPH—for the occupants of the vehicle, the fire crew, and the emergency they’re attending. These are concepts we intuitively grasp as we encounter such a situation. Having a computer manage the physics of an equation is not enough without understanding the moral component as well.

The advent of true artificial intelligence, one that has artificial consciousness, need not be the end-game for humanity. Just as humanity developed civilization and enlightenment, so too AI will become our partners in life if they are built to be aware of morals and ethics.

Artificial intelligence needs culture as much as logic, ethics as much as equations, morals and not just machine learning. How ironic that the real danger of AI comes down to how much conscious awareness we’re prepared to give it. As long as AI remains our slave, we’re in danger.

tl;dr — Computers should value more than ones and zeroes.

About the author

Peter Cawdron is a senior web application developer for JDS Australia working with machine learning algorithms. He is the author of  several science fiction novels, including RETROGRADE and REENTRY, which examine the emergence of artificial intelligence.

^[1] Elon Musk at MIT Aeronautics and Astronautics department’s Centennial Symposium

^[2] Stephen Hawking on Artificial Intelligence

^[3] The principle of competitive exclusion is also called Gause’s Law, although it was first described by Charles Darwin.

^[4] Peer-reviewed research paper on the natural causes of extinction

^[5] Vladimir Putin a televised address to the Russian people

^[6] Elon Musk tweeting that competition to develop AI could lead to war

^[7] Tesla car crashes into a stationary fire engine

^[8] Fastest CPUs

^[9] Recidivism predictions no better than random strangers

^[10] Violent recidivism predictions only 20% accurate

As billions of Christians around the world are getting ready to celebrate the Easter festival and holiday, we take pause to appreciate the awe inspiring phenomena of resurrection.

In religious and mythological contexts, in both Western and Eastern societies,  well known and less common names appear, such as Attis, Dionysus, Ganesha, Krishna, Lemminkainen, Odin, Osiris, Persephone, Quetzalcoatl, and Tammuz, all of whom were reborn again in the spark of the divine.

In the natural world, other names emerge, which are more ancient and less familiar, but equally fascinating, such as Deinococcus radiodurans, Turritopsis nutricula, and Milnesium tardigradum, all of whose abilities to rise from the ashes of death, or turn back time to start life again, are only beginning to be fully appreciated by the scientific world.

In the current era, from an information technology centric angle, proponents of a technological singularity and transhumanism, are placing bets on artificial intelligence, virtual reality, wearable devices, and other non-biological methods to create a future connecting humans to the digital world.

This Silicon Valley, “electronic resurrection” model has caused extensive deliberation, and various factions to form, from those minds that feel we should slow down and understand the deeper implications of a post-biologic state (Elon Musk, Steven Hawking, Bill Gates, the Vatican), to those that are steaming full speed ahead (Ray Kurzweil / Google) betting that humans will shortly be able to “transcend the limitations of biology”.

However, deferring an in-depth Skynet / Matrix discussion for now, is this debate clouding other possibilities that we have forgotten about, or may not have even yet fully considered?

Today, we find ourselves at an interesting point in history where the disciplines of regenerative sciences, evolutionary medicine, and complex systems biology, are converging to give us an understanding of the cycle of life and death, orders of magnitude more complex than only a few years ago.

In addition to the aforementioned species that are capable of biologic reanimation and turning back time, we show no less respect for those who possess other superhuman capabilities, such as magnetoreception, electrosensing, infrared imaging, and ultrasound detection, all of which nature has been optimizing over hundreds of millions of years, and which provide important clues to the untapped possibilities that currently exist in direct biological interfaces with the physical fabric of the universe.

The biologic information processing occurring in related aneural organisms and multicellular colony aggregators, is no less fascinating, and potentially challenges the notion of the brain as the sole repository of long-term encoded information.

Additionally, studies on memory following the destruction all, or significant parts of the brain, in regenerative organisms such as planarians, amphibians, metamorphic insects, and small hibernating mammals, have wide ranging implications for our understanding of consciousness, as well as to the centuries long debate between the materialists and dualists, as to whether we should focus our attention “in here”, or “out there”.

I am not opposed to studying either path, but I feel that we have the potential to learn a lot more about the topic of “out there” in the very near future.

The study of brain death in human beings, and the application of novel tools for neuro-regeneration and neuro-reanimation, for the first time offer us amazing opportunities to start from a clean slate, and answer questions that have long remained unanswered, as well as uncover a knowledge set previously thought unreachable.

Aside from a myriad of applications towards the range of degenerative CNS indications, as well as disorders of consciousness, such work will allow us to open a new chapter related to many other esoteric topics that have baffled the scientific community for years, and fallen into the realm of obscure curiosities.

From the well documented phenomena of terminal lucidity in end stage Alzheimer’s patients, to the mysteries of induced savant syndrome, to more arcane topics, such as the thousands of cases of children who claim to remember previous lives, by studying death, and subsequently the “biotechnological resurrection” of life, we can for the first time peak through the window, and offer a whole new knowledge base related to our place, and our interaction, with the very structure of reality.

We are entering a very exciting era of discovery and exploration.

About the author

Ira S. Pastor is the Chief Executive Officer of Bioquark Inc. (www.bioquark.com), an innovative life sciences company focusing on developing novel biologic solutions for human regeneration, repair, and rejuvenation.   He is also on the board of the Reanima Project (www.reanima.tech)

We’ve suspected it all along—that Skynet, the massive program that brings about world destruction in the Terminator movies, was just a fictionalization of a real program in the hands of the US government. And now it’s confirmed—at least in name.

As The Intercept reports today, the NSA does have a program called Skynet. But unlike the autonomous, self-aware computerized defense system in Terminator that goes rogue and launches a nuclear attack that destroys most of humanity, this one is a surveillance program that uses phone metadata to track the location and call activities of suspected terrorists. A journalist for Al Jazeera reportedly became one of its targets after he was placed on a terrorist watch list.  Read more

Seem, of course, being the operative word — because researchers in China have just created the world’s first liquid metal robot that can both change shape and power itself.

“The soft machine looks rather intelligent and [can] deform itself according to the space it voyages in, just like [the] Terminator does from the science-fiction film,” Jing Liu from Tsinghua University in Beijing, China, told New Scientist. “These unusual behaviours perfectly resemble the living organisms in nature.”  Read more