The Problem of Socrates

While we were given multiple resources to draw from, Nietzsches’ “The Problem of Socrates“, which is a piece from his book titled Twilight of the Idols, is what I would like to focus on for this discussion. I find it surprising that I have not read any of his work prior to this. I have heard of him, but my level of intrigue had apparently not peaked enough to seek out his writing on my own. Color me surprised as I started reading and found myself laughing out loud while googling the phrase, “Was Socrates profoundly ugly?” The sentence that justified such an action, you inquire. “Socrates was a clown who succeeded in making men take him seriously: what then was the matter?” A clown!? Our beloved Socrates? What could inspire such a statement? And why am I so curious as to why Nietzsche thinks of him as a clown?


If you have not already, I would suggest reading his views. What I found interesting as it relates to our topic on the development of knowledge, was Nietzsche thoughts on Socrates’ notion that, Reason = Virtue = Happiness. He stated:
“The fanaticism with which the whole of Greek thought plunges into reason, betrays a critical condition of things: men were in danger; there were only two alternatives: either perish or else be absurdly rational. The moral bias of Greek philosophy from Plato onward, is the outcome of a pathological condition, as is also its appreciation of dialectics. Reason = Virtue = Happiness, simply means: we must imitate Socrates, and confront the dark passions permanently with the light of day—the light of reason. We must at all costs be clever, precise, clear: all yielding to the instincts, to the unconscious, leads downwards.”


If true, then it seems like much of the bedrock of Western thought was influenced by a man who waged war against all that makes us the flawed, temperamental, and beautiful creatures we are. “When a man finds it necessary, as Socrates did, to create a tyrant out of reason, there is no small danger that something else wishes to play the tyrant.” Was it all a power play for Socrates? Was his powerful intellect attempting to control, rather than enlighten? Were educational institutions founded on an ideal that reason will save our wicked souls? “To be obliged to fight the instincts—this is the formula of degeneration: as long as life is in the ascending line, happiness is the same as instinct.”

So, what do we do? In one ear, Father Socrates is whispering, “life is meant to be reasoned, calculated, and you should suppress your natural instincts. By doing so, you shall be made anew…” Meanwhile, Nietzsche is asserting that our foundational core is instinctual and that society, laws, customs, etc., have transposed our natural disposition. (So, we are basically animals thrice removed from our baser instincts? Is that what you are saying, Friedrich?).


So, how does this relate to “the construction and development of knowledge and what might be overlooked in major theories?” It doesn’t. Well, maybe a little. Suppose Nietzsche is right and that Socrates, Plato, and the foundation of Western philosophy, was based on obsessiveness with “being,” and the “fallibility of the senses,” and “reasoning our way to happiness,” and yada yada… And suppose Socrates did use dialectics as means against those who cast a condescending eye in his direction.  

“Can it be that dialectics was only a form of revenge in Socrates?” Surely not! Right…? Didn’t he say that virtue was knowledge? And isn’t the Socratic Method one we use to eliminate hypotheses while seeking truth? Or that the interaction between teacher and student resembles that of a Platonic dialogue? Oh man, surely The Knowledge Developer and Grand Reasoner himself didn’t stoop to his baser instincts and found a millennium of education out of pettiness and reprisal? Right…? Surely, we didn’t overlook that while constructing our theories! No, we wouldn’t have. We are much too calculated and reasoned to…. Oh..

How Could Extended Reality Improve Learning in Higher Education?

What happens when students can step inside a learning experience instead of only reading about it?

Extended reality, which includes virtual reality, augmented reality, mixed reality, and related immersive technologies, offers a way to make abstract or complex concepts more visible, interactive, and memorable. In higher education, this could be especially valuable in courses where students struggle to form a clear mental picture of what they are being taught.

Since working in higher education, I have personally witnessed many students struggle to understand course material or fully grasp the concept being emphasized. In many cases, the issue is not a lack of effort. The student may simply be unable to generate the mental image needed to connect the explanation to something concrete.

I have experienced this same disconnect in my own work. I might read about a complicated network structure, security control, or information technology process and still need a more experienced staff member to essentially “draw me a picture.” I needed a visual component to accompany the written explanation.

That need may decrease as someone gains experience and develops a larger reservoir of prior knowledge. However, newer learners do not yet have that reservoir. Extended reality could help fill the gap by allowing them to see, manipulate, and experience concepts that would otherwise remain abstract.

Where extended reality could help

Virtual reality and augmented reality could support higher education in several meaningful ways.

Students could explore a network architecture from inside a three-dimensional environment, observe how security controls interact, or practice responding to a simulated system failure. Science, technology, engineering, and mathematics students could complete virtual laboratories that provide repeated practice without the same equipment, safety, or scheduling limitations of a physical lab.

Healthcare students could examine anatomy from multiple angles, interact with simulated patients, and practice making decisions in a controlled environment. Environmental science students could explore ecosystems, geological formations, or natural habitats that would otherwise be difficult or expensive to visit.

In each of these examples, the technology does more than add visual appeal. It helps learners connect information to experience.

Imagining the possibilities

Of course, money quickly becomes part of the conversation whenever an institution considers adopting emerging technology. Testing, training, implementation, support, and long-term maintenance would also create challenges, especially for an information technology department already managing multiple projects.

But let us assume for a moment that we have boatloads of money and a leadership team ready to invest in extended reality.

“What are some ways we could make this work, Lance?”

Glad you asked, hypothetical leadership team.

We could invest in software that supports our science, technology, engineering, and mathematics programs by making required laboratory activities available in virtual environments through headsets. Students could practice procedures, repeat experiments, and make mistakes without damaging equipment or creating a safety concern.

We could also expand the tutoring center so that online students meet tutors in a shared virtual environment rather than only through a standard video call. A virtual meeting room could make the experience feel more personal and interactive, particularly for students who rarely visit campus.

Applications such as 4D Anatomy could provide a detailed and interactive view of the human body. Tools focused on wildlife and the natural environment could allow students to examine animals, ecosystems, and field conditions in ways that are difficult to reproduce in a traditional classroom.

Combining artificial intelligence and extended reality

The greatest potential may come from combining extended reality with artificial intelligence.

In nursing and other healthcare programs, students could interact with virtual patients who respond to questions, symptoms, and treatment decisions. These simulations could help learners practice diagnostic interviews, communication, clinical judgment, and decision-making before working with actual patients.

A virtual patient could present symptoms differently each time, respond emotionally to the learner’s communication style, or require the student to reconsider an initial diagnosis. Artificial intelligence could make the experience more adaptive by changing the scenario based on the student’s actions.

This type of environment could provide safe, repeatable practice while also helping instructors evaluate how students think, communicate, and respond under pressure.

The same approach could be applied beyond healthcare. A cybersecurity student might interact with an artificially generated security incident. A business student could negotiate with a simulated client. A teacher candidate could practice responding to classroom behavior in a virtual setting.

The practical barriers

Some of these ideas may still be pipe dreams for smaller institutions, but obtaining a limited number of virtual reality headsets is not entirely outside the realm of possibility.

The larger challenge may be convincing faculty members to learn and use the technology while they are already overwhelmed with existing responsibilities. Buying the equipment is only the beginning. The institution would also need to consider:

  • Faculty training and instructional support
  • Accessibility and accommodation needs
  • Technical support and equipment management
  • Compatibility with existing courses and systems
  • Student privacy and data collection
  • Time required to redesign learning activities
  • Evidence that the technology improves learning

A headset alone does not create an effective educational experience. The technology must be connected to a clear learning objective and integrated intentionally into the course.

Faculty members should not be expected to adopt extended reality simply because it is new. They need time, examples, technical support, and opportunities to experiment without fear of failure.

Starting with a pilot

A realistic approach would be to begin with a small pilot in one or two programs where the instructional need is clear.

For example, the institution could introduce virtual anatomy activities in nursing or a small set of virtual laboratory experiences in a science course. Faculty and students could then provide feedback on usability, engagement, accessibility, and learning outcomes.

The pilot should answer practical questions:

  • Did the technology help students understand the concept?
  • Did it improve performance or retention?
  • Was it easy enough for faculty and students to use?
  • Did technical problems interfere with learning?
  • Was the benefit worth the cost and effort?
  • What changes would be needed before expanding the program?

This would allow the institution to evaluate the instructional value before committing to a larger rollout.

Final thought

Extended reality could be especially valuable when learners need more than written explanations or static images. It can make invisible systems visible, allow students to practice difficult procedures, and create experiences that would otherwise be unsafe, expensive, or impossible.

The technology should not replace effective teaching. It should strengthen it.

The real question is not whether virtual reality or augmented reality looks impressive. It is whether these tools help students understand, practice, and apply what they are learning more effectively.

For higher education, that potential is worth exploring, even if the first step is only one headset, one course, and one carefully designed pilot.

What Do We Still Not Understand About Learning?

While reading The Book of Problems, one short passage by Federico Mayor stood out to me because of how directly it addresses the relationship between learning, technology, reflection, and personal knowledge.

The methodology regarding learning to know and to do is widely developed. Teachers all around the world have a treasure of experience and best practices in these fields. However, we know far less about learning to be, to transform information into personal knowledge, to reflect and to elaborate one’s own answers, to behave according to one’s own conclusions elaborated from thought.

Such is, from my point of view, the widening vacuum in current learning, particularly in the so-called developed countries. Communication tools are available in excess, yet learners are too often mere receptors of information, as they have no time to think, to argue in favour of their own ideas. They are spectators, not authors. As José Saramago, the Literature Nobel Prize Laureate, puts it: “A moment will come when technology will score 100 versus thinking 0.”

-Federico Mayor

Mayor argues that education has developed strong methods for teaching people how to know and how to do. Teachers around the world have accumulated extensive experience in helping learners acquire information, master skills, and complete tasks. However, he suggests that we know far less about how to help people learn to be, transform information into personal knowledge, reflect deeply, and form conclusions based on their own reasoning.

His concern is that modern learners are surrounded by communication tools but are too often positioned as receivers of information rather than active thinkers. They consume content, but they are not always given the time or space to question it, defend their own ideas, or determine what it means for their lives. In Mayor’s words, they become spectators rather than authors.

This raises a central question: Are we learning to think for ourselves, or are we merely becoming more efficient consumers of information?

Mayor’s argument is powerful because it suggests that many people have not taken the time to understand themselves in relation to their ethical beliefs, values, and personal responsibilities. We consume information from countless technological sources and often mistake access to data for knowledge or wisdom.

The fact that information is available does not mean it has been understood. We can read, watch, scroll, save, share, and repeat ideas without ever examining whether they align with what we truly believe. Information enters our awareness, but it may never become part of our personal understanding.

At the same time, the responsibility does not rest entirely with the individual. Our society is structured around constant consumption. We are repeatedly encouraged to view wants as needs and to pursue the next product, experience, platform, or piece of information. The message is often some variation of “more is better,” even when more leaves us distracted, overwhelmed, and less certain about what actually matters.

This is where Mayor’s argument connects with Martin Heidegger’s The Question Concerning Technology. Heidegger challenges the view that technology is merely a neutral instrument or a simple means to an end. He argues that technology also shapes how we view the world. It encourages us to see people, nature, time, and information as resources to be collected, organized, stored, and used.

Mayor makes a similar point when he describes human beings as spectators rather than authors. Another way of stating this would be that we have become takers rather than givers. We take in information but often fail to reflect on how it shapes our beliefs, values, and actions.

The introspective quality that distinguishes human beings seems unable to keep pace with the speed of technological change. We move quickly from one message, video, headline, or notification to another. As a result, it becomes difficult to determine what we truly need, what we merely want, and what we actually believe.

There is often very little time to pause and simply think.

So, take a moment.

Breathe deeply. Pause. Release the breath. Then do it again.

Notice what happens. Your heart rate may slow. The tension in your face may relax. You may become aware of sounds, thoughts, or details that would otherwise have escaped your attention.

In that quieter state, consider the question: What do I truly believe?

That question requires introspection. It asks us to examine our experiences, assumptions, values, and conclusions. We gather observations from our own lives, question their meaning, and attempt to form an understanding that feels true and defensible.

This process contains elements of both inductive and deductive reasoning. We may begin with individual experiences and work toward a broader conclusion. We may also begin with a belief or principle and test whether our actions and experiences remain consistent with it.

Mayor’s warning, attributed to José Saramago, is that a time may come when technology scores one hundred while thinking scores zero. That statement is presented as a warning rather than a certainty, but it describes a possible future if society continues to value speed, consumption, and convenience more than reflection.

At present, the argument is inductive. It is based on observable patterns in how people interact with technology and information. However, it could become a more certain conclusion if we fail to pause, examine our habits, and learn how to simply be.

Heidegger believed that art might provide one possible response to this problem. Art requires the viewer to slow down, observe, interpret, and reflect on what is being revealed. It does not always offer a single answer. Instead, it asks something of the person experiencing it.

Nature can provide a similar opportunity for reflection. A large oak tree begins as an acorn and develops through a process of growth, time, and interaction with its environment. It gives shade, shelter, oxygen, and life. This process differs from the impulse to extract, consume, and move immediately to the next thing.

Both art and nature invite us to experience the world differently. They encourage intentionality rather than constant consumption. They create space for observation, interpretation, and thought.

Inductive reasoning also depends on this kind of openness. It requires us to examine what we observe, consider different possibilities, and remain willing to revise our conclusions. Thinking must come before certainty.

Mayor’s reasoning may be inductive, but he has laid the foundation for a troubling conclusion. If we continue consuming information without reflecting on it, technology may increasingly shape our beliefs before we have taken the time to form them for ourselves.

The challenge, then, is not to reject technology. It is to resist becoming passive in our relationship with it.

We must learn to pause, question, interpret, and create. We must become authors of our own understanding rather than spectators of information produced by others.

The question is not whether technology will continue to advance. It will.

The more important question is whether our capacity for thought, reflection, and personal meaning will advance with it.

View The Book of Problems

What Can a Pocket-Sized Device Teach Us About the Systems Around Us

Many of the technologies we use every day operate quietly in the background. Access cards, remote controls, wireless sensors, garage doors, and connected devices all rely on signals and protocols that most people never see or think about.

Flipper Zero makes those invisible systems more tangible. It is a compact device designed for exploring wireless communication, access-control technologies, infrared signals, Near-Field Communication, Radio-Frequency Identification, and embedded hardware. What makes it especially interesting is not simply what it can do, but how it turns complex technical concepts into something that can be examined, tested, and understood through hands-on use.

I wanted to explore Flipper Zero because it sits at the intersection of cybersecurity, hardware development, digital literacy, and curiosity. It offers a practical way to learn how common devices communicate while also raising important questions about responsible use, authorization, and the difference between exploration and misuse.

The sections below provide an overview of the device’s major capabilities and why it has become such an interesting tool for students, developers, security professionals, and technology enthusiasts.

Flipper Zero is a compact, portable device designed for exploring digital systems, wireless protocols, access-control technologies, and electronic hardware. Its distinctive cyber-dolphin interface gives the device a playful personality, but beneath that design is a versatile collection of tools for learning, testing, development, and experimentation.

The original idea behind Flipper Zero was to combine several common hardware tools into one device that could be carried and used easily. It was inspired in part by projects such as Pwnagotchi, but it was designed with everyday usability in mind. Rather than exposing circuit boards and pins, Flipper Zero includes a durable case, physical controls, and a simple menu-driven interface.

It can operate independently without requiring a computer or smartphone. Common tools and functions are accessible through a five-direction control pad, while a USB connection provides additional control when needed. Its low-power monochrome liquid-crystal display is easy to read in direct sunlight and contributes to the device’s long battery life.

Sub-1 GHz Radio

Flipper Zero can interact with certain wireless devices operating below 1 GHz. This range is commonly used by technologies such as garage door remotes, boom barriers, Internet of Things sensors, weather stations, and some remote-access systems.

Its built-in radio hardware allows users to examine compatible signals and develop applications that communicate with supported devices. The same radio capability can also be used for communication between Flipper devices.

Because some signals control physical access or privately owned equipment, these functions should only be used with systems you own or have explicit permission to test.

Near-Field Communication and Radio-Frequency Identification

Flipper Zero includes support for both low-frequency and high-frequency Radio-Frequency Identification technologies.

Its Near-Field Communication module operates at 13.56 MHz and supports widely used standards, including compatible MIFARE technologies. Depending on the type of tag and its security protections, the device may be able to read, save, write, or emulate supported credentials.

The combination of low-frequency and high-frequency capabilities makes Flipper Zero useful for learning how contactless cards, tags, and access-control systems communicate. However, access credentials should never be copied, tested, or emulated without authorization.

Bluetooth Low Energy

The device also includes Bluetooth Low Energy connectivity. This allows it to communicate with compatible smartphones, computers, and third-party devices.

Official mobile applications for iOS and Android provide a larger interface for managing files, updating the device, and accessing supported functions. Because the Bluetooth system is designed to support open-source development, community members can also build applications that interact with Flipper Zero.

Infrared

Flipper Zero contains both an infrared transmitter and receiver. It can send commands to compatible electronics such as televisions, air conditioners, stereo systems, and other devices that use infrared remote controls.

A built-in database includes common commands for functions such as power and volume. The infrared receiver can also capture signals from an existing remote and save them for later use.

This feature can be especially useful for consolidating remote controls, testing infrared equipment, or learning how consumer electronics interpret remote commands.

General-Purpose Input and Output

One of the device’s most flexible features is its General-Purpose Input and Output interface. These pins allow Flipper Zero to connect directly to compatible hardware for development, testing, and debugging.

Through this interface, users can:

  • Communicate with development boards and embedded systems
  • Flash supported firmware
  • Read debugging information
  • Test hardware behavior
  • Run custom code
  • Use the device as an adapter for protocols such as Universal Asynchronous Receiver-Transmitter, Serial Peripheral Interface, and Inter-Integrated Circuit

This makes Flipper Zero useful not only for wireless exploration but also for electronics projects and embedded-system development.

Why the Device Is Interesting

Flipper Zero brings together several tools that would otherwise require separate devices. It can support learning in areas such as wireless communication, embedded systems, access-control technology, electronics, firmware, and cybersecurity.

Its greatest value may be educational. It gives users a hands-on way to explore how everyday technologies communicate and how digital signals interact with physical systems.

At the same time, many of its capabilities can affect devices, credentials, or systems belonging to other people. Responsible use requires clear authorization, attention to privacy, and an understanding of applicable laws and policies.

Conclusion

Flipper Zero is a versatile platform for hardware exploration, firmware development, debugging, signal analysis, and electronics experimentation. Its portability and approachable interface make complex technologies easier to examine, while its open-source ecosystem allows the community to expand what the device can do.

For students, developers, security professionals, and electronics enthusiasts, it offers a practical way to study the increasingly connected relationship between software, wireless communication, and physical hardware.

How Can Artificial Intelligence Expand Human Capability?

What happens when artificial intelligence is no longer used simply as a tool, but as a partner in human performance, learning, decision-making, and even physical recovery?

That question became the central theme of my research. Across the articles and videos I reviewed, three ideas stood out most: the growing partnership between people and machines, the changing meaning of expertise, and the possibility of using artificial intelligence to extend human abilities in practical and even life-saving ways.

Human and computer cooperation

One of the most significant ideas came from Edward Feigenbaum, who predicted that advanced human-computer interfaces would allow people and machines to cooperate on tasks with consequences far greater than what was possible at the time.

What makes this idea important is that it moves beyond the assumption that computers simply serve people. Instead, the human and the machine contribute different strengths to the same task. The computer processes information, detects patterns, and evaluates possibilities at a scale that would be difficult for a person to manage alone. The person contributes context, judgment, creativity, values, and an understanding of the larger purpose.

This prediction feels especially relevant now. Systems such as IBM Watson and DeepMind have demonstrated how artificial intelligence can analyze complex information and support decision-making. One of the defining features of artificial intelligence is its ability to learn from data and improve its performance rather than requiring a programmer to create a separate instruction for every possible task.

The result is a shift from automation toward collaboration. The most valuable applications may not be those in which artificial intelligence replaces a person, but those in which it helps a person do something better than either could accomplish independently.

Artificial intelligence and the meaning of expertise

The second major idea involved how we define expertise.

Stamper and Moore explain that expertise varies by field. In chess and music, researchers have often discussed the idea that approximately 10,000 hours of practice may be required to reach an expert level. This reminded me of Malcolm Gladwell’s Outliers, which helped popularize the same general idea.

In learning systems, however, mastery may be defined differently. A system might estimate that a learner has mastered a skill when there is a 90 or 95 percent probability that the learner understands it. This creates an interesting distinction between human expertise, which develops through experience and practice, and machine expertise, which may be measured through patterns, probabilities, and performance.

The research on game-playing agents made this issue even more interesting. Human players demonstrate expertise through recognizable strategies. In some artificial intelligence systems, a human explicitly encodes those strategies. In others, deep neural networks develop policies through repeated experience.

The problem is that these systems can become difficult for humans to interpret. They may perform at an expert level without being able to explain their reasoning in a way that a person can easily understand.

This creates an important tension. If a machine can make better decisions than most people, but those decisions come from a black box, should we describe the machine as an expert? Performance may demonstrate competence, but expertise also involves explanation, judgment, adaptability, and understanding.

Artificial intelligence may therefore change not only how expertise is developed, but how it is recognized.

Using artificial intelligence to build a better human

The third and most fascinating lesson involved the use of artificial intelligence to improve human capability.

The examples I encountered went far beyond software applications. They showed technology becoming integrated with the human body and used to improve performance, mobility, safety, and perception.

One example involved the real-time collection of data in race car driving. A system capable of tracking performance continuously can help a driver make better decisions, identify patterns, and improve reactions. Interestingly, “race car” is also a palindrome, which may be the least important but most memorable detail of that example.

The medical applications were even more striking. Choosing to undergo an experimental procedure involving amputation and an advanced prosthetic requires an extraordinary level of courage. The integration of thought, movement, and bionic technology demonstrates how artificial intelligence can help restore or expand physical ability.

Another example was C-THRU, a helmet designed to help firefighters see in environments with little or no visibility. The system uses infrared light and edge-detection technology to identify shapes that may be hidden by smoke, such as walls, furniture, or a person trapped inside a building.

This is a clear example of technology extending a human sense rather than replacing human judgment. The firefighter still decides where to move and what action to take, but the system provides information that the human eye cannot access under those conditions.

Applications like these show the potential of artificial intelligence to make people safer, more capable, and more independent.

What I want to investigate next

The research also led me to a more personal question: How can artificial intelligence support endurance training and recovery?

As someone interested in ultra-running, I am particularly curious about how artificial intelligence can help athletes make better decisions concerning training, nutrition, pacing, injury prevention, and recovery.

The more useful data an athlete can collect, the better prepared that person may be to recognize patterns and adjust a training plan. However, the challenge is not simply collecting more information. The real value lies in knowing what the data mean and how to act on it.

Several questions stand out:

  • Can artificial intelligence identify signs of overtraining before the athlete recognizes them?
  • Can it adjust training based on sleep, heart rate, fatigue, weather, elevation, and prior performance?
  • Can it help determine nutritional needs during long-distance events?
  • Can it improve recovery by identifying when rest is more beneficial than additional training?
  • How are experienced ultra-runners currently using artificial intelligence and wearable technology?

I am also interested in whether the greatest value comes from applications alone or from a combination of software, wearables, sensors, and physiological monitoring.

Platforms such as AI Endurance, TrainAsONE, PKRS.AI, and Vert appear to offer different approaches to adaptive training and performance analysis. Exploring how these systems make recommendations, what data they use, and whether their guidance improves outcomes would be a useful next step.

Final thought

The most important conclusion from this research is that artificial intelligence is becoming more than a tool for completing tasks. It is increasingly functioning as a collaborator, coach, interpreter, and extension of human ability.

At its best, artificial intelligence does not make the human unnecessary. It allows the human to see more clearly, make better decisions, and perform beyond previous limitations.

The question is no longer simply what machines can do.

The more meaningful question is what people and machines may be able to accomplish together.

Who Is Responsible When Artificial Intelligence Makes the Decision?

As artificial intelligence becomes more involved in healthcare, education, finance, employment, transportation, and public policy, two ethical concerns rise above the rest: responsibility and transparency.

Who is responsible when an artificial intelligence system causes harm? Who is included in the “we” that is expected to answer for its decisions? These questions become increasingly difficult when an outcome is produced by an algorithm that few people can fully understand.

Responsibility for consequences

Responsibility for artificial intelligence should be shared among the people and organizations that design, deploy, manage, and use it.

It is no longer sufficient for an engineer to say, “I only created the algorithm. I am not responsible for what it decided.” Developers have a vested interest in the outcomes their systems produce. The same is true for executives who approve their use, organizations that implement them, and professionals who rely on their recommendations.

Artificial intelligence may generate an output, but humans decide:

  • What data are used
  • What goals the system is designed to pursue
  • Where the technology is deployed
  • How much authority it receives
  • Whether its decisions are reviewed
  • What happens when it fails

Responsibility should therefore follow the entire lifecycle of the system rather than being assigned only after something goes wrong.

The story of Frankenstein is relevant here. The warning is not simply about creating powerful technology. It is about creating something and then abandoning responsibility for what it becomes. We should not leave technology to its own devices and then act surprised when the consequences extend beyond our intentions.

The need for transparency

The second major concern is transparency.

How can people be held accountable for decisions made by an algorithm they cannot possibly understand? If an artificial intelligence system denies someone a job, recommends a medical treatment, flags a student for intervention, or determines access to a financial service, the affected person should have some way to understand how that conclusion was reached.

This does not mean every user must be able to read the source code. It does mean there should be meaningful access to the system’s reasoning, limitations, data sources, and decision criteria.

The so-called “black box” cannot remain completely closed when its decisions affect people’s lives.

Transparency should include:

  • Clear explanations of how the system is used
  • Disclosure of known limitations and risks
  • Documentation of the data used to train it
  • Opportunities for human review
  • A process for challenging harmful or incorrect decisions
  • Independent auditing and oversight

Without transparency, accountability becomes little more than an abstract promise.

Educating the technology we create

Education and learning are also essential.

Artificial intelligence is created by humans, trained on human-produced data, and shaped by human priorities. We must therefore “educate the algorithms” before trusting them to influence human lives.

The goal should not be to create something powerful and then become afraid of what it can do. The goal should be to design systems intentionally, teach them through carefully selected data, test them under diverse conditions, and continue evaluating them after deployment.

Human beings are already technological beings. Our lives, decisions, relationships, and institutions are intertwined with technology. Because of that, we must consider the social impact of artificial intelligence during the design process, not after the system has already been released.

How should these issues be addressed locally?

Artificial intelligence is a global issue, but local governments and institutions still have an important role.

In the United States, regulation should establish minimum standards for:

  • Safety
  • Privacy
  • Explainability
  • Human oversight
  • Bias testing
  • Data governance
  • Accountability when harm occurs

Organizations should also create internal review structures before deploying artificial intelligence. A school, hospital, company, or government agency should not adopt a system simply because it is efficient or innovative. It should first determine whether the technology is appropriate, reliable, fair, and aligned with the needs of the people it serves.

Local implementation should also include education for employees and the public. People need to understand what the technology can do, what it cannot do, and when human judgment must take priority.

How should these issues be addressed globally?

Artificial intelligence cannot be regulated effectively by only a few wealthy or technologically advanced countries.

Countries with the largest economies may have the most influence, but the consequences of artificial intelligence will cross borders. Systems developed in one country may use data from another, affect global labor markets, influence elections, alter food production, or shape access to healthcare.

An international consortium should help develop shared standards and provide representation for countries with different economic, cultural, and technological circumstances.

Global cooperation should focus on areas such as:

  • Human rights
  • Data protection
  • Military uses of artificial intelligence
  • Cross-border accountability
  • Environmental impact
  • Access to beneficial technologies
  • Standards for high-risk systems

The purpose would not be to eliminate innovation. It would be to ensure that innovation does not outpace responsibility.

Where artificial intelligence can serve the common good

Three areas stand out as opportunities for responsible global application:

Healthcare

Artificial intelligence can assist with diagnosis, pattern recognition, treatment planning, and the distribution of medical resources. Used carefully, it may help improve access and reduce preventable errors.

Energy

Artificial intelligence can help reduce waste, balance energy grids, improve efficiency, and support the transition toward cleaner energy sources.

Agriculture

Artificial intelligence can support farmers through crop monitoring, weather analysis, soil assessment, irrigation planning, and early detection of pests or disease.

These applications could help people live longer, reduce environmental damage, and produce enough food to support future generations. However, those benefits depend on how the systems are designed, who controls them, and whether the people affected have a voice.

Final thought

Artificial intelligence should not be treated as an independent force that simply appeared and began making decisions on its own. It is a human creation, shaped by human choices and embedded within human institutions.

That means responsibility cannot be delegated entirely to the algorithm.

The central ethical challenge is not whether artificial intelligence will continue to develop. It will. The challenge is whether humans will remain willing to explain, supervise, regulate, and take responsibility for what they create.

The 9 Commandments

On Empowerment

In our technologically advanced society, where “give me now” is the predominant mindset, children do not understand the value of patience, dedication and the antiquity involved in getting where we are as a nation. History is often a glazed eye subject for them while not understanding the importance in lessons learned. To youth, anything they desire is but a computer click away… This does not fully invoke the thought process nor mental capabilities they are capable of. To unplug, step back and think. To introspect on life, history, and advancement. By inventing a “click here” society, the microwave generation exists solely in the present. Not concerned with past mistakes and successes, only worrying and concerning themselves with the face of today. Then, their future becomes their present and they are left bewildered and untrained on how to manage. My goal is to invoke this thought mechanism that has been replaced with http://www.insert-your-website-here.com. THINK young people and learn from history! On this, I call Empowerment.

On Knowledge

I refer to this concept as a state of mind because the precursor to knowledge is a love of learning. The core of our Human is an innate desire to seek out information. This should be considered a never-ending pursuit of bettering oneself and not a stagnant state of being. Man must continue to learn, to expand his boundaries, diversify his thought and, once he acknowledges his limitations on a particular subject, continue to seek out that which he does not know. The material one seeks is subjective yet the striving for knowledge is relative to us all. Our pursuit of something leads us to determine the course of our existence. Thus, bringing me back to my above-stated topic. This pursuit is knowledge. Knowledge from experience, life, education, friendship, desires, wants, needs, morality, books, etc. The list is endless because what we are each seeking is individual to us. One must learn to seek out his knowledge, to grasp it and continue with his search for more. On this, I call Knowledge.

On Reading

Truly my first love. I distinctly remember the excitement I felt when opening a new book by one of my favorite authors, or any author for that matter. The crisp edges of a page, the sharp spine that had yet to be broken; all gave rise to a thrilling sense of wonder at what I was about to discover. The sentence structure, semantics and plot all provided my young mind with a background for my imagination to take hold. As time progressed, this thirst for reading did not diminish. I read more, diversified my library while pressing upon my peers the importance of this outdated mode. In hindsight, I can honestly say that the act of reading enabled my conviction to become more rounded, my communication skills to become more precise; thus leading to an ability to hold a conversation within any age group on any number of topics. So, give it a shot… Turn off the TV, step away from Facebook and find a book that captures your attention. It will require thinking but I am confident that your imagination will be fueled by an undying fire. (All while bringing a smile to your countenance). On this, I call Reading

On Art

Full disclosure, I am not an artist. I merely slapstick paint or push a pen around and hope for the best. However, this simple act of artistic expression, or creating something from naught, allows the individual to express his/her innermost. Picasso stated that, “the purpose of art is washing the dust of daily life off our souls.” I concur with his stance even though his art is above my head. All too often the grind of life, jobs, responsibilities, and care-giving stifle the true creative species that we are. Our nature is geared toward solving problems in an ever-changing environment. By taking a moment to pause, contemplate and create, we effectively give a voice to our disposition. The calculated creation of technology is put on hold while we explore the workings of our mind and soul. The therapy this act provides is a welcome respite that can lead to moments of self-satisfaction and peace. This aim at artistic expression is not to appease others but to introspect on the values and virtues that one, sometimes unknowingly, hold dear. Moreover, if all else fails in this endeavor, at least you have paused to think while examining your soul. On this, I call Art.

On Ethics

This branch of Philosophy has been debated, expounded and developed throughout the ages. The values of an individual need be found within his person. Largely, however, it is the mindset of a group that the individual ends up acquiring. Whatever the group may value or hold dear, then these ideas are passed on to the individual, the next generation and so on. In order to check the group, the individual must take a step back, introspect and find what his values, morals and thoughts are. If not, a collectivist mindset will continue to press on without a check & balance system. (History can attest to what I am stating; see 1940’s European group-thought mindset.) One must learn to think for himself and use his intellect, reason and reality to determine his stance on life. Only then can the individual truly and without bias state his ethical code. Only then can a telling life be led; one that is conscious, driven and not pushed along without establishing itself. On this, I call Ethics.

On Self-Respect

By the very fact that we exist, it should behoove the individual to respect his person. This respect, that each individual need to learn for himself, can only be achieved once we learn to accept and love the person we are. Once done, the individual’s actions, thoughts and work will follow suit in like manner. However, we see it throughout history as well as our present time that man struggles with this concept. His production and time spent is the perception on which self-respect is to be measured. We are limited to a finite amount of time on Earth; then, as if we were not even here, time continues and the man is forgotten. Yet, his efforts and his work can live immortal if produced in the manner of his abilities. Meaning, the respect in which we endow ourselves is key to the productivity produced. A wasteful attitude will destroy any chance of leaving a mark, and thus any chance of obtaining self-respect. Once we learn to respect our own person then are we able to truly respect others. On this, I call Self-Respect.

On Self-Discipline

We learn from an early age that while our parents or caregivers are there for our well-being, they cannot be there to guide you at all points in your life. It is up to the individual to take responsibility for their actions, thoughts and ideas if they are to live a meaningful life. Discipline is a necessary component to achieve this sense. Every day you are faced with challenges and questions on how you want to live your life: Do I get up today? Will I be productive or lazy? Am I to take care of the one body I possess? (A small sample size of questions yet the point is made in such.) Our ability to face reality and move forward is self-discipline. To better oneself, one must have this state of mind. Nothing is promised to our Human hence our need to form our thoughts and choose the direction in which we want to discover. Nothing is life that is worth something, comes easy. As a result, you will have to do things in life that you do not want to do. Nevertheless, you do them because the path to betterment begins with action. On this, I call Self-Discipline.

On Motivation

To be sure, one must take unconditional advantage when this state of mind is upon you. The energy it provides is liken to a transcendental experience. It arrives at varying times unless one is able to harness it permanently. By this, I mean one has to have a focus that is undeterred and unrelenting in itself and absolute in its drive. Man has studied this trait in earnest and many a self-help has been written on it; yet, as evident when one looks around, it is still a mystery to many. I do not have an answer as to why this occurs… By writing on this topic, I merely want to bring attention to it. This trait of being walks closely with the following: ambition, determination and resolve. To possess all these traits would be the result of a paramount, powerful individual. An individual who understands himself, his environment and what must be done to change or manipulate the situation. Regardless of the direction the individual pursues, having a motivating drive will surely lead them to their goal. Grasp this state and never let go. On this, I call Motivation.

On Elation

The state in which all would like to permanently dwell. However, this uplifting and joyous emotion is often short lived as reality enters the equation. Most find this state of being from an external stimuli; as a result, they require more and more incentives to hold on to it. With the constant advancement of our society, our Human is bombarded with images and ideas on how we should be. A never-ending deluge of dejection is often the result of this barrage… How & Why are most common beginnings to questions in which no answer can be derived. The key to this epidemic is found in oneself. The blissful awareness that I am the harbor and ship of my thoughts and thus I control my state of emotion. As a result, one will then step back and see the rat maze in which we are shrouded. To look above and beyond and find the wheel that is our Turning; which, when discovered, leads to a peaceful reckoning. This highly important moment is the beginning to finding our calling, purpose and hope in humanity. On this, I call Elation.