Navigating HR Challenges in Organisations Employing Migrant, English-Second-Language Talent

We explore challenges companies, particularly those in industries such as Healthcare, Aged Care, and Early Childhood Education relying heavily on migrant workers with English as a second language (ESL) skills and explore effective management strategies.

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An Exploration of AI-Powered Personalized Learning Journeys

In today’s rapidly evolving digital era, technology has become an indispensable tool in education. Higher education students are increasingly embracing technology-enabled micro-learning systems that offer personalised learning journeys powered by artificial intelligence (AI).

These innovative platforms present numerous advantages, empowering students to enhance their educational experiences, personalize their learning, and foster continuous growth. This essay explores the key benefits for higher education students when accessing such systems, shedding light on the transformative potential of AI-powered personalized learning journeys.

Enhanced Flexibility and Accessibility:

Technology-enabled micro-learning systems provide higher education students with enhanced flexibility and accessibility, transcending the limitations of traditional classroom-based learning. With these systems, students can access learning materials and resources anytime and anywhere, allowing them to tailor their study schedule to their individual needs and preferences. Whether juggling work commitments, family responsibilities, or other extracurricular activities, students can seamlessly integrate learning into their daily lives without compromising their existing obligations.

Moreover, AI-powered platforms can adapt to students’ learning styles, accommodating diverse needs. By leveraging machine learning algorithms and data analytics, these systems can identify individual strengths, weaknesses, and preferences, creating personalized learning journeys. Students can engage with content at their own pace, focusing on areas that require more attention while bypassing topics they have already mastered. This customized approach ensures that students receive targeted instruction and support, promoting a deeper understanding of the subject matter.

Increased Engagement and Motivation:

Traditional classroom settings often struggle to maintain student engagement and motivation. In contrast, technology-enabled micro-learning systems, with their interactive interfaces, gamification elements, and AI-driven adaptive feedback, cultivate a stimulating learning environment.

GetMee AI boosts engagement and motivation by employing interactive and gamified elements within its platform, transforming learning into an exciting and immersive experience that captivates users and encourages them to actively participate. AI algorithms monitor students’ progress, identify areas where they might be struggling, and provide timely interventions and suggestions. These interventions can be in the form of additional resources, personalized recommendations, or even adaptive assessments to gauge the students’ comprehension levels. This immediate feedback loop allows students to address knowledge gaps promptly, reinforcing their learning and boosting their confidence.

Gamification elements, such as badges, leader boards, and rewards, provide intrinsic motivation by turning learning into a fun and competitive experience. These elements encourage healthy competition among students and foster a sense of accomplishment upon achieving learning milestones.

Furthermore, AI-powered systems can analyse individual preferences and interests, tailoring the learning content to align with students’ personal goals and aspirations, thereby further enhancing motivation.

Personalised Support and Remediation:

One of the significant advantages of technology-enabled micro-learning systems is their ability to provide personalized support and remediation to higher education students. AI algorithms track students’ progress, identifying areas where they struggle, and offering targeted interventions.

Through the collection and analysis of vast amounts of data, these systems can identify patterns and predict individual learning trajectories. If a student encounters difficulties in a specific topic, the AI can suggest additional resources, alternative explanations, or supplementary exercises to reinforce understanding. This personalized support ensures that students receive the assistance they need, precisely when they need it, promoting a deeper and more meaningful learning experience.

Furthermore, AI-powered systems can provide adaptive remediation, helping students bridge knowledge gaps. By tailoring content to suit individual needs, students can revisit concepts they find challenging, allowing them to build a solid foundation before progressing further. GetMee AI creates a personalized learning journey by tailoring content and recommendations to each individual’s unique interests and learning style, ensuring an enriching and customized educational experience. This personalized approach minimizes the risk of students falling behind and enables them to achieve better overall academic outcomes.

Continuous Learning and Skill Development:

Technology-enabled micro-learning systems promote a culture of continuous learning and skill development among higher education students. AI algorithms can suggest additional learning resources, articles, and videos related to students’ areas of interest. This encourages students to explore beyond the prescribed curriculum, fostering a curiosity-driven learning experience.

By providing personalized learning pathways, these systems enable students to acquire and refine essential skills at their own pace. Whether it’s critical thinking, problem-solving, or collaboration, AI-powered platforms offer tailored content and exercises that help students develop these skills effectively.

Moreover, AI-powered systems can adapt to changing industry demands, keeping students up-to-date with the latest trends and technologies. By integrating real-time data and industry insights, these platforms ensure that students are equipped with the knowledge and skills required for success in their respective fields. With GetMee AI, continuous learning and skill development become effortless as the platform adapts to the user’s progress, identifying knowledge gaps and providing targeted resources to enhance their abilities, enabling continuous growth and improvement.

In conclusion, Technology-enabled micro-learning systems that offer AI-powered personalised learning journeys hold immense benefits for higher education students. The flexibility, accessibility, enhanced engagement, personalized support, and continuous learning opportunities these platforms provide empower students to take control of their education, maximizing their potential. As technology continues to advance, it is imperative that higher education institutions embrace these transformative tools to prepare students for the challenges and opportunities of the future. By harnessing the power of AI and personalized learning, we can create an educational landscape that is dynamic, inclusive, and tailored to the unique needs of each learner.

Incorporate personalised learning journeys into your business or school today. Reach out to or to learn more about GetMee AI visit our website at or email us at

Why Chat GPT is not revolutionary

The recent launch of Chat GPT(Generative Pretrained Transformers) by open AI has caused a big stir leading to serious discussions about its impact on various industries. While the potential and the overall benefits are significant, the disruption in the long term is not devastating. In this article, I attempt to untangle it from historical and socioeconomic perspectives.

What is Chat GPT? I asked Chat GPT to describe itself.

Who are you? Describe how you were built, your advantages and your limitations.

“I am ChatGPT, a large language model developed by OpenAI. I was trained on a dataset of over 40 GB of text data and use deep learning techniques such as the Transformer architecture to generate human-like text.

One of the advantages of my training is that I have been exposed to a wide variety of texts, which allows me to understand and respond to a wide range of questions and prompts. Additionally, I am able to generate human-like text which can be useful in a variety of applications such as chatbots, language translation and text summarization.

However, like all machine learning models, I have limitations. One major limitation is that my understanding of language is based on the patterns and associations it has seen in the training data. This can lead to errors or biases if the training data is not representative of the real world. Additionally, I may not always understand the context or intent behind a user’s question or statement, which can result in inaccurate or inappropriate responses.”

In essence, Chat GPT is probably the largest text-based knowledge model that generates semi-human-like text and responses for a given context/prompt/questions/examples

What has culminated in the current stage of AI advancements?

Historical Perspective

Throughout history, the human race has reinvented and reoriented itself around major technological advancements. The 4th Industrial revolution is again a technology-driven one, The AI technology is playing a major role.  In contradiction to the general view of AI and the hype, some of which are grounded in facts, we are seeing the coming of age of AI rather than a revolutionary invention. The next evolution is not going to be any different and the industries that are threatened by AI products like Chat GPT will revolutionise themselves through rapid incremental improvements as it has become a question of existence.

What is driving the current phase of AI products and innovation?

The biggest contributor is the enormous amount of data we are generating. The AI models need large sets of data for them to produce accurate results. 

All key areas of AI have experienced growth and innovation.

The investment in AI products and services is another huge driver of innovation. Crunchbase reported investments in AI Startups and AI projects increased from $20B in 2020 to $50B+ in 2021.  

Thirdly, the value of automation and other AI-based assistive technologies has become clear to businesses.

Rapid knowledge dissemination and consumption

AI Technologies such as Chat GPT can provide more curated responses, allowing knowledge and information to flow faster and more effectively, speeding up the learning process. Social and economic changes in developing parts of the world will accelerate as these capabilities cut through to those communities much quicker than the current methods. The education sector will have to transform itself to accommodate this reality. On the other side of the spectrum, institutions have to fundamentally change the assessment processes. The meaning of teaching and learning will also need to be redefined.

Will AI products force us to elevate our cognitive capabilities?

As Artificial Intelligence technology continues to evolve and mature, it will force us to utilise our greatest strength which is our cognition. Our multidimensional and dynamic cognitive abilities will continue to be an advantage, we have to up our game. Ultimately, the combination of the AI models/algorithms and our abilities complement each other instead of competing. This was the rationale, we created GetMee AI to provide tools to organisations and individuals for language, communication, social and emotional skills development. Our focus will shift to soft skills that enable us to communicate and collaborate effectively.

Where to from here?

Some industries and jobs are at higher risk than others. Creative, Marketing, Content Production, and Education industries have been exploring opportunities to utilise AI in their products and services for a while. This phase of AI advancement will fast-track the adoption.

Chat GPT will improve in the coming months and years. Microsoft is rumoured to be getting ready to invest more into Chat GPT. This is in addition to the $1B the company invested in 2019. As the competition heats up, the AI industry will see more innovative products. The reality is that embracing AI tools and automation will be necessary for organisations and business models to survive and thrive. It is not a revolution, it is a real paradigm shift.

To learn more about GetMee, visit

Why Technology for Communication Improvement Has Not Worked and How to Do It Better

Our communication skills and lifestyles have significantly evolved over the past decade. The days of memos, telephone calls, and faxes are behind us and in their place, a more technologically connected digital world. This allows for constant and instant feedback and availability. 

Technology for communication has been both lauded and tolerated; however, when used appropriately, it can become an integral part of improving communication and social lifestyle.

Personal development coaches and companies have tried to design products to improve communication skills as there is a continuous need to provide constant and instant feedback as more Millenials occupy more sensitive positions. However, most of the technologies (e-learning and blended learning) deployed have been deficient as it struggles to help people apply their new skills onto their lifestyles, jobs, and communities.

These struggles are a result of the insufficient consideration that every learner is unique, with differing skills, needs and challenges and the systems were not designed to help individual learners to transfer the skills learnt in a systematic and personalized way.

While not presenting an all-around solution, the advancements in artificial intelligence (AI) have substantially addressed challenges in communication technology by supporting learners in-between sessions with an AI-enabled coach. AI provides a safe environment to practice difficult or embarrassing skills. When combined with a real-life tutor or expert coach, there are two main types of AI that are being used today to help learners practice real-world communication skills as a new form of electronic performance support: deep learning “flight simulators” and expert systems.

Expert Systems

This form of AI is based on calibrated coaching. Following a brief computer-adaptive assessment, each learner can select a goal and schedule short, tweet-sized suggestions/recommendations for how and what they should practice. Learners receive a push notification on the mornings and days they prefer, which they can use to suggest new ways to sharpen their emotional intelligence skills throughout the workday. Each e-coaching statement is written by an expert and calibrated like an assessment instrument to target each learner’s unique proficiency level. As a result, e-coaching is always in that person’s “Goldilocks Zone” – not too difficult, not too easy, but just right for their current skill level.

Learners can also set up a second push notification on their phone or tablet to remind them to keep a journal of the lessons they’ve learned from attempting to apply artificially intelligent coaching to their lifestyle. Most learners choose to record these private journal entries using their smartphone’s built-in voice-to-text feature, such as Siri, which is another type of AI that makes reflecting on focused practice more natural, especially when the individual is exhausted at the end of the day.

The objective of this mobile reminder is twofold. First, learners benefit from reflecting on what they’ve learned and refining their mental models. Second, the journal provides the coach or teacher a private, confidential view into how that specific learner is progressing and whether praise, nudging, or other sorts of help are needed. Teachers and coaches could only accomplish this in the past by nagging learners via phone, SMS, or email spam.

Deep Learning AI Systems

The second type of AI combines computer science advances with deep learning to provide users with a pocket coach that allows them to practice, receive immediate assessment and qualitative feedback, and improve. In this approach, the AI powered app and expert human coaches provide capabilities and content in  a secure environment for customers to quickly develop soft skills..

Because AI is fast evolving, AI is anticipated to continue increasing the context and relationships needed for training and coaching in order to better personify the ability of individuals to transfer emotional intelligence and communication skills into their real work and life.

You can improve your communication skills with “GetMee.” GetMee is an AI powered product for communication and personal skills development which can help you improve communication and other essential personal skills.. 

Identify With and Reconfigure Your Personality to Change Your Life in 2021

What determines who we become as human beings, as subjects with complex personalities? What socio-political, economic, cultural and psychological factors influence how we become such personalities? In other words, how are we who we are? What predetermines our responses? so we consistently respond to similar situations in similar manners. What structures and processes influence our beliefs, the ways we communicate and relate to others? These are questions we all ask ourselves to uncover what makes us who we are.

One of the most rewarding things about my work at ‘Get Mee’ is that I ask these questions all the time. The key to ‘knowing the self’ and ‘caring for the self’, to contentment always revolves around these fundamental questions. This self-reflective exercise allows us to understand more about our relations with the world, with each other and with ourselves. The gateway to good communication and personal growth is these foundational psychological and philosophical questions.

An undeniably fascinating part of our existence and being is our uniqueness as individuals. The foundational law of being is that we exist but exist in absolute singularity. No two individuals are ever the same physiologically, emotionally, psychologically, etc. Our appearance in the world (geography, country, culture, family, socio-economic status), our development, and socialization from the moment of birth to adulthood expands on that uniqueness. And the individual itself is constantly in motion, dynamic transformation, and change.

Hence, there is uniqueness in personalities and splits and multiplicity in one individual. The individual is not an unchanging object with a set of properties and adjectives. The individual consists of many traits, characteristics, and personas. It is constantly evolving and transforming.

This uniqueness and multiplicity allow us to spontaneously present a version of ourselves in different situations for different purposes and reasons. This is an outcome of evolutionary transformation and change in social formations. For instance, cooperation, collaboration, and consensus allowed for survival and success. It is not unscientific to propose that mutual aid and working together is an innate part of our being, our social relations, and our existential goal. Think of the way even our goals and desires are consciously or unconsciously organized to gain recognition and response from others.

It is why today, when a colleague, a friend or a family member experiences difficulty in their life, we bring our compassionate and empathetic self to help them. But these cooperative tendencies and personality traits are not guaranteed. Understanding, care, and empathy require knowing deeply about ourselves first. And only after we need to know the other person’s struggles, history, circumstances, and decision-making. These have to be achieved without judgment and suppositions on behalf of us.

Some of us heeding to other emotions thought patterns, and belief systems present a different set of traits contrary to empathy and understanding. This often leads to conflict, social uneasiness, and failure. How strongly we express these emotions and traits depends on a range of individual and collective factors and life circumstances.

We can explain this phenomenon via the discipline of psychology. The field of Psychology views personality as a composition of the five major categories of traits: openness, conscientiousness, extraversion, agreeableness, and neuroticism. Each category has subtypes and all of us can be placed somewhere in the spectrum of all five categories. The most important thing to remember is that these categories are indicative and can’t be considered absolute. This is because we are complex personalities with changing dynamics. An individual can be high or low in intensity with regards to the influence of the categories. For example, an individual high in neuroticism can be unstable, anxious, tense, and withdrawn. In contrast, we attribute low neuroticism to stability, confidence, and contentment.

The personality psychology and the various theories of personalities are widely studied and constantly evolving.

Gaining a deeper understanding of our personality traits is immensely important not only for worldly material success but also to develop self-awareness. Becoming more self-aware, self-reflective, and conscious leads to better management of our emotional and communicative responses. Awareness of our personality traits helps us focus on areas that need strengthening to amplify our uniqueness or deliberately change certain behavioral patterns that negatively affect our growth. This is all central to our existence and our relationships with others. A way for the individual to attain happiness, satisfaction, and contentment is to follow the process of creating and re-creating the self.

Next time you are in a challenging situation at work, or in your personal life, pause, identify how your subconscious and social habits want to respond to that situation. Examine your immediate default reaction. Pay attention to the feelings and triggers of those feelings to learn which of the personality categories is dominant at that time. Are your thoughts negative? Is your natural emotional response anger and fear? Is it paranoia or suspicion? The next step is to examine and critique why this is the case? And how you can change your responses.

It is important to recognize that in general, our default emotions, behaviors, thoughts, and actions align to the easier options. Negative emotions, negative patterns of thoughts, and archaic belief systems are aligned with our primary self and hence repetitive. Repetition leads to a cycle of similar responses and behavior. The flight or fight response is precisely this: that fear, anger, suspicion, and anxiety come persistently first due to evolutionary physiological necessities. That reason, understanding, and tending rationally to emotional disturbances is a secondary and less physiologically natural reaction. This secondary element, unlike primary emotional reactions, requires critical oversight, work, and skills. It does not appear naturally in the cycle.

It is far more difficult for many of us to have optimistic, empathetic, and understanding thoughts, emotions, and beliefs.

The knowledge of the difference between natural default expression of emotions (like anger, fear, paranoia, etc.) and self-awareness allows the pathway to change. With self-awareness and conscious practice, you will become familiar with the responses and may even change them. This is an arduous process, but it is worth the effort. It is a completely non-judgemental exercise therefore, remember to be kind to yourself and those around you, especially if you recognize a response that you don’t consider ideal.

We are fascinated with our beliefs, our thoughts, our emotions, our intelligence, and our abilities. All of us are unique and our personalities have something special to offer to the world. This also means the challenges and struggles in our lives are also unique.

As the roller coaster 2020 ends, remember to take a moment to reflect on who you are, appreciate you, and the personality that makes you.

The State of Brain-Computer Interface and Neuralink

The recent announcement and the demonstration of implantable medical device from Neuralink has generated broader discussions and debate in the industry. Perhaps it is best to begin discussing about the neuroscience start-up, Neuralink, by placing the significance of its objective and the use of its brain-computer interface (BCI) within history and the evolution of various social formations. After all, the BCI is a product of scientific and societal evolution. It combines ‘methods, approaches and concepts derived from neurophysiology, computer science and engineering’ with the aim of creating interfaces that symbiotically links the internal cognitive and affectual components of the ‘living brain and the artificial actuators’ (Lebedev and Nicolelis, 2017). Neuralink emerges out of the intersections and developments of social life, economy and technology. For Elon Musk, the intricate composition of these factors has created new urgent, if not momentous, socio-economic and ontological necessities.


As such, Neuralink presents its BCI as a remedy to these micro, meso and macro uncertainties. Two presuppositions about the upcoming super-intelligent system of production and society has urged Neuralink to invest $158M dollars in the project:

  1.  The ‘existential or civilizational threat’ from super-intelligent machines or Artificial Intelligence.
  2.  The necessity to protect large swathes of the homo sapiens from becoming what Yuval Harari in his seminal book Homo Sapiens (2011) calls the ‘useless class’.

In the singularitarian and techno-nirvana view of Ray Kurtzweil and Peter Diamandis versus the possible civilizational extinction and scepticism of Nick Bostrom, Bill Joy and Jaron Lanier, Musk sides with the latter group. He recently declared: ‘If humans want to continue to add value to the economy, they must augment their capabilities through a merger of biological intelligence and machine intelligence. If we fail to do this, we’ll risk becoming “house cats” to artificial intelligence.’ The upcoming virtual super-intelligent system of production and Artificial Intelligence will require new needs, skills, merits, processes and tools that are fundamentally intellectual and psychological, as opposed to physical. And, for Musk, it is Neuralink’s BCI that will be this new scientific and innovative technology tool—is central to human survival.

In a way, BCI and the cyborgification of the modern human is akin to fire for the early homo sapiens. Just as fire led humans to survive unfriendly environments via the indirect development of language, cognition and skills, BCI will play the same role in the future transmutation of humanity. The only difference is that fire was never a universal existentialist threat which the machines can be.

For this reason, Neuralink’s ambitious goal is to ensure humans are able to read and write thoughts, memories, feelings and to telepathically communicate. The ultimate teleological stop for Neuralink is to merge humans with AI.

A set of urgent questions need to be addressed in order to really comprehend the significance of Neuralink’s BCI. What exactly is BCI and its trajectory? Is Neuralink different to previous BCIs and if so, how? What are the ethical and socio-economic risks of BCI?

What exactly is BCI and its trajectory?

BCI is one of the most rapid and expansive areas of scientific research and development. The theoretical work on BCI began in 1929 when Hans Berger contemplated and put forward the possibility of ‘“reading thoughts” with the electroencephalogram (EEG)’. He speculated that this was possible via ‘processing human EEG waveforms using sophisticated mathematical analysis’ (T Zander and J Bronstrup, R Lorenz, 2014, p: 66).

The first concrete phases of BCI research began at the University of California in the 1970s. It was Jacques J. Vidal (1973, 1977) who gave birth to the name Brain-Computer Interface (BCI). In the early days of the research and development, the focus was fundamentally on neuroprosthetic applications emphasising on restoring sight, hearing and movement. By mid-1990s the field began to see the first neuroprosthetic devices for humans. The ‘first wireless intracortial’ BCI was built in 1988 by Philip Kennedy and his colleagues ‘by implanting neurotrophic cone electrodes into monkey brains’ (Gohel, 2015, p: 8)

Zoë Corbyn in her article Are brain implants the future of thinking? writes that currently there has been an;

…injection of Silicon Valley chutzpah [which] has energised the field of brain-computer or brain-machine interfaces in recent years. Buoyed by brain gate and other demonstrations, big name entrepreneurs and companies and scrappy start-ups are on a quest to develop a new generation of commercial hardware that could ultimately help not only people with disabilities, but be used by all of us (2019).

There is then wide consensus that the BCI and the radical withering away of the archaic and natural divide between subjective inner self and objective reality is the future. 

Why is the BCI important?

Most of the field experts and researchers recognise that the symbiosis of machine and human, organic life and technology is far more powerful than just the rigid, mechanical one-dimensional Artificial Intelligence. Neuroprosthetics allows the combination of sense-perception (feelings, emotions, etc.) and machine-enhanced rationality. The idea is that thoughts, feelings and various cognitive operations can be accounted for via the electrochemical signals that flow around and between the variegated network of neuronal circuits (The Conversation, 2020).

Each cognitive and psychological process is reduced down to what is called an ‘action potential’. These brain signals related to specific activities allow for the BCI to calculate, codify and organise neuronal information based on certain parts of the brain. This ‘biomimetic’ decoding allows not only for the mapping out of the electro-chemical activities but also a bidirectionality that permits for the enhancement and manipulation of these signals. The neural electrical impulses are translated into machine-readable information which in-turn can be manipulated for specific purposes. This way, BCI and neuroprosthetics allow for the restoring of vision and sense of hearing, detecting and preventing epilepsy, repairing stroke- induced injuries, restoring memory to Alzheimer patients, reinstating movement in paralysed limbs, and enhancing sensory and cognitive capacities.

To put it simply, BCI enables the production of a granular understanding of brain networks and activities. It also allows for the enhancement of the abilities of our brain through machine intervention.

There are numerous companies and enterprises which are currently working to build high-resolution brain-machine interfaces. Utah Array, Synchron, Paradromics, Kernel, Ctrl-labs, BrainGate and the social media giant Facebook are just a few to mention.

But it is Musk’s Neuralink that has really come to be a dominant force in the race to connect humans to computers via machine interfaces.

Is Neuralink different to previous BCIs?

Neuralink’s demonstration this month included a pig named Gertrude which was surgically implanted with a brain-monitoring device. Two things worthy of mention here: first that the experiment demonstrates that data was being extracted and collected via Neuralink’s device located in the brain of the pig. Secondly, that Gertrude was able to ‘move around while the implanted chip collect[ed] the data’. This encoding of brain activity is a grand step forward.

Yet, Neuralink is much more ambitious and radical in its ‘vision, software capacity and implantable hardware platforms’ (K. Wyggers, 2020). In the abovementioned demonstration, Musk announced that the company currently has ‘several ongoing studies with human participants’ and will go on to prepare for the first human trials in 2021. The proposed human trials have to adhere to FDA’S regulatory and ethical standards that are in place to provide the necessary checks and balances in the process, however, the process of transferring the neural implant from animals to humans are the same. Micron-scale threads are inserted into areas of the brain that control movement. Each thread contains many electrodes and connects them to an implant called the Link. The Neuralink device currently collects data from a limited area of the cortex and covers a limited number of neurons. Important brain functions utilize many parts of our brain simultaneously such that the device has to expand to cover other areas of the brain to reach its full potential.

The company’s goal is three-fold: 1) treat brain disorders and aid people in need of urgent medical attention, 2) create a BCI and, 3) manufacture a ‘sort of symbiosis with artificial intelligence’.  

Neuralink has been able to make leeway in key issues and factors surrounding BCI. These include:

  1. The complete automation of the insertion of the in-brain device via an eight-foot surgical robot. The Neuralink demonstration did not cover how the robot-inserted microelectrodes get into the cortex and find cells. This is the most critical and difficult part of a BCI product.
  2. Building an in-brain device (version 0.9) that is surgically placed in the skull.
  3.  Conventional implants are stiffer than actual brain tissue which cause error and instability in recording or damage to brain tissue. Neuralink has produced ‘flexible BMI’ which are ‘much softer than silicon implants and similar to actual brain tissue’.
  4. The existing BMI systems pass through skin and require laboratory equipment and personnel. Neuralink’s device relies on safe and effective home operated clinical system.
  5. Neuralink’s capacity to listen to brain cells and enhance its signals is radically higher than its closest competitor. Whilst BrainGate implants arrays of 100 electrodes in the brain of paralysed patients, Neuralink has built a device to relay signals wirelessly from 1024 electrodes.
  6. Neuralink’s procedures have minimised damage to brain tissue during implantation and operation.
  7. Neural spikes contain a lot of information. Decoding and interpreting this information has thus far been a difficult and inefficient task. Neuralink labs have designed computer ‘algorithms controlling a virtual computer mouse from the activity of hundreds of neurons’. The device is able to connect and control much more neurons

What are the ethical and socio-economic risks of BCI?

The ethical implications of the BCI are too great and extensive for the scope of this article. However, three key issues need to be briefly touched upon: the unequal access and utilisation of the device, cyber-attacks and privacy. The first involves the geographical and economic inequality in the production, distribution, consumption and operation of the BCI. The unequal access to this device in an already highly fragmented and polarised world could lead not only to mass socio-economic divides (between the useless class and algorithm/device owners) but also to the literal social and biological split in the species. If this process is not democratic and regulated, we may see an absolute division between a super-intelligent cognitively augmented cyborg, and the limited and primitive homo sapiens.

There is also the risk of security in storing and transmitting information. The bidirectionality of the signals and the linkage of the living brain to machine leads us to a rational equation: if the signals can go out and be enhanced they can also easily come in and be integrated. The signals and the algorithms to decode the signals can easily be hacked into by foreign entities. Here, Pablo Usieto and Javier Minguez ask a set of questions that need to be analysed and, in the long term, answered:

What would happen if a computer hacker could access the neural information of the president of the United States and revealed the nation’s next military objectives? Or what if the hacker discovered the president suffers from a mental illness and disclosed this information to the press? Or even worse… How much would a rival country pay for such information? (Usieto and Minguez, 2018)

The question of the control of the technology and regulation of its use becomes paramount here.

Perhaps, the last key issue that needs a mention, and linked to the previous point, is the matter of privacy and drawing the lines of access and control which the BCI has over our brains. How far should the BCI access our thoughts, ideas and emotions? How can certain ideas and thoughts be protected from the reach of the device? Which ideas are to be protected and which must be open to the social world, if any? Currently, the subjective and objective areas are demarcated and tightly defined, yet with the emergence of the BCI, bionic and biological innovation, this divide is radically pronounced. This will have dire effects on subjective autonomy and sovereignty of our lives. It is why Musk is fearful that we may be ‘summoning the demons’. We are talking about humans losing control over which ideas can be thought and which ideas can be shared with self-replicating and autonomous computers, society, market forces and the state.  

In the evening of modernity, René Descartes, the French philosopher and mathematician, famously wrote cogito ergo sum (‘I think, therefore I am’). This maxim summarises the historical conception of subjecthood since the evolution of the species from the greater apes. It also encompasses the relationship we have had as species with ourselves, with others and our environment. There was always the ‘I’ then there was the other and objects (the natural). This is all about to change. A successful autonomous and bidirectional BCI system will alter the trajectory of human development. The application of the technology transforms us, and our world, beyond our imagination and comprehension. Our thoughts and beliefs will be made public and transferrable and the outside world will constantly intrude the inner kernel of subjective autonomy, the soul.

With the emergence of the BCI, the ‘I’ in Descartes’ maxim will be very unclear in the coming future.