What is Artificial Intelligence?

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines, typically through computer systems. It involves the development of algorithms and models that enable computers to perform tasks that would typically require human intelligence, such as learning, problem-solving, perception, understanding natural language, and making decisions.

AI can be broadly categorized into two types: narrow AI and general AI. Narrow AI, also known as weak AI, is designed to perform a specific task or a set of tasks within a limited context. Examples of narrow AI include virtual assistants like Siri or Alexa, recommendation systems, and image recognition algorithms. General AI, on the other hand, refers to AI systems with human-like cognitive abilities across a wide range of tasks. General AI is still largely theoretical and remains a subject of research.

AI techniques include machine learning, where algorithms are trained on data to recognize patterns and make predictions, and deep learning, a subset of machine learning that involves artificial neural networks with multiple layers of interconnected nodes inspired by the structure of the human brain.

AI enhances our lifes:

AI is already making our lifes easier in various ways:

  1. Personal Assistants - AI-powered virtual assistants like Siri, Alexa, and Google Assistant help us manage tasks, schedule appointments, set reminders, and answer questions using natural language processing.

  2. Recommendation Systems - AI algorithms analyze our preferences and behavior to provide personalized recommendations for products, services, movies, music, and more, enhancing our shopping and entertainment experiences.

  3. Healthcare - AI is used in medical imaging for faster and more accurate diagnosis of diseases like cancer, in drug discovery to accelerate the development of new treatments, and in personalized medicine to tailor treatments to individual patients.

  4. Smart Home Devices - AI enables smart home devices to automate household tasks, adjust settings based on user preferences, and enhance home security through features like facial recognition and motion detection.

  5. Navigation - AI-powered navigation apps use real-time data to optimize routes, avoid traffic congestion, and provide personalized recommendations for restaurants, attractions, and events based on user preferences.

  6. Language Translation - AI-driven language translation services enable real-time translation of text and speech across multiple languages, facilitating communication and breaking down language barriers.

  7. Financial Services - AI algorithms analyze financial data to detect fraud, predict market trends, and provide personalized financial advice, helping individuals and businesses make informed decisions.

  8. Entertainment - AI is used in content recommendation algorithms for streaming services, video games, and social media platforms, enhancing user engagement by suggesting relevant content based on individual preferences and behavior.

AI already makes our lifes easier.

Possible threats of AI:

AI presents several potential threats to humankind, including:

  1. Job Displacement - AI automation could lead to job losses in various industries, potentially causing economic disruption and exacerbating inequality.

  2. Ethical Concerns - AI systems can perpetuate biases present in their training data, leading to unfair or discriminatory outcomes. Ensuring ethical AI development and deployment is crucial to prevent harm to individuals and marginalized groups.

  3. Privacy Risks - AI-driven surveillance systems and data mining techniques raise concerns about privacy infringement and unauthorized access to personal information.

  4. Autonomous Weapons - The development of autonomous weapons systems equipped with AI raises ethical questions about the potential for lethal decisions to be made without human intervention, leading to unintended consequences or misuse.

  5. Security Vulnerabilities - AI systems can be vulnerable to attacks, such as adversarial attacks, where malicious actors manipulate input data to deceive AI algorithms, or exploitation of AI-based systems to conduct cyberattacks.

  6. Existential Risks - Concerns have been raised about the potential for superintelligent AI systems to surpass human intelligence and inadvertently pose existential risks to humanity if their goals diverge from human values.

Origins of AI:

The origins of artificial Intelligence trace back to ancient civilizations, where myths and legends often depicted artificial beings imbued with human-like qualities. However, the modern field of AI emerged in the mid-20th century, driven by advances in computer science, mathematics, and cognitive psychology.

One of the earliest pioneers in AI was Alan Turing, a British mathematician and computer scientist, who proposed the concept of a universal computing machine in his seminal paper "On Computable Numbers, with an Application to the Entscheidungsproblem" in 1936. Turing also introduced the idea of a test to determine whether a machine could exhibit intelligent behavior, known as the Turing Test, which remains influential in AI research today.

The term "Artificial Intelligence" was coined in 1956 during a workshop at Dartmouth College, where computer scientists, mathematicians, and cognitive psychologists convened to explore the possibility of creating machines capable of simulating human intelligence. This event, often referred to as the "Dartmouth Conference," is considered a milestone in the history of AI, marking the birth of the field as a distinct area of study.

During the 1950s and 1960s, researchers made significant strides in developing early AI systems, including the Logic Theorist by Allen Newell and Herbert A. Simon, which could prove mathematical theorems, and the General Problem Solver (GPS), a problem-solving program also developed by Newell and Simon. These pioneering efforts laid the foundation for the development of AI techniques such as symbolic reasoning, expert systems, and machine learning.

Throughout the subsequent decades, AI research experienced periods of both optimism and skepticism, marked by advances in areas like neural networks, natural language processing, and robotics, as well as setbacks and funding cuts. Despite these challenges, AI continued to evolve, fueled by increasing computational power, the availability of large datasets, and breakthroughs in algorithms and methodologies.

Today, AI is a thriving interdisciplinary field with applications spanning robotics, healthcare, finance, transportation, and beyond. While the origins of AI can be traced to ancient civilizations and early philosophical inquiries into the nature of intelligence, its modern incarnation represents a convergence of scientific inquiry, technological innovation, and societal aspirations for creating intelligent machines that can augment human capabilities and address complex challenges.

5 Superstitions about AI:

Superstitions about AI often stem from misconceptions, fears, and exaggerated portrayals in media and popular culture. Here are some common superstitions about AI:

1. AI Will Take Over the World:

  • This superstition exaggerates AI capabilities, ignoring the fact that AI lacks consciousness and autonomous decision-making beyond its programmed tasks. AI systems operate within predefined parameters and do not possess the intent or agency to take over the world.

2. AI Will Replace Humans in All Jobs:

  • While AI automation may impact certain industries, the fear of widespread unemployment overlooks the potential for AI to create new job opportunities, augment human capabilities, and stimulate economic growth through innovation and new industries.

3. AI Will Become Conscious and Rebel Against Its Creators:

  • This superstition anthropomorphizes AI, attributing human-like emotions and intentions to machines. AI lacks consciousness and emotions, making the scenario of rebellion against its creators implausible.

4. AI Will Control Our Minds:

  • This fear of mind control by AI overestimates the influence of AI-driven technologies on human behavior and decision-making. While AI algorithms can influence user preferences and behaviors, they lack the capability to control minds in the way depicted in this superstition.

5. AI Will Create Unstoppable Killer Robots:

  • The notion of AI-driven killer robots ignores the ethical and regulatory frameworks governing the development and deployment of autonomous weapons. Concerns about AI-enabled warfare should focus on responsible use and adherence to international laws and treaties rather than sensationalized scenarios of unstoppable machines.

Overall, while AI presents challenges and ethical dilemmas, many superstitions about AI are based on misconceptions or exaggerated portrayals rather than empirical evidence. Addressing these concerns requires informed discussions, ethical guidelines, and responsible development and deployment of AI technology.

Morality of an AI:

In moral science, discussions surrounding Artificial Intelligence often delve into the ethical implications of creating intelligent machines and the potential impact on human society. Central to these discussions is the question of how AI systems should be designed, deployed, and governed to align with ethical principles and moral values.

One key consideration is the moral agency of AI systems and the responsibility for their actions. As AI becomes increasingly autonomous and capable of making decisions without human intervention, questions arise about who bears accountability for the consequences of AI actions. Debates center on whether AI systems should be held to ethical standards analogous to those applied to human beings and what mechanisms are needed to ensure transparency, accountability, and oversight in AI development and deployment.

Another area of concern is the potential for AI to exacerbate existing social inequalities and injustices. Discussions often focus on issues such as algorithmic bias, discrimination, and the amplification of societal prejudices in AI systems. There is a recognition of the need to address biases in data, algorithms, and decision-making processes to ensure that AI technologies promote fairness, equity, and social justice.

Furthermore, moral science considers the impact of AI on human well-being and flourishing. Ethical frameworks such as utilitarianism, deontology, and virtue ethics are applied to assess the ethical implications of AI technologies in various contexts, including healthcare, employment, privacy, and personal autonomy. Discussions explore how AI can be used to enhance human capabilities, improve quality of life, and contribute to the common good while minimizing potential risks and harms.

In considering these ethical dimensions of AI, scholars and ethicists draw inspiration from science fiction authors such as Isaac Asimov and Stanisław Lem, whose works explore themes of Artificial Intelligence, robotics, and the relationship between humans and intelligent machines. Asimov's "Three Laws of Robotics," which govern the behavior of robots in his stories, raise fundamental questions about the moral obligations of AI creators and the ethical constraints that should guide AI development. Similarly, Lem's thought-provoking narratives challenge readers to reflect on the ethical implications of creating sentient beings and the consequences of human hubris in the pursuit of technological advancement in his writings, such as "The Cyberiad" and "Solaris".

In conclusion, discussions of AI in moral science encompass a wide range of ethical considerations, including questions of moral agency, social justice, and human flourishing. By engaging with these complex ethical issues and drawing insights from literature and philosophy, scholars and practitioners seek to foster responsible AI development and deployment that aligns with moral values and contributes to the well-being of individuals and society as a whole. For now we should not have to worry about those situations becuase AIs have no ability to go out of possibilities given to them by engineers yet.

I'm sorry but as fan of Sci-fi stories I could not stop myself from writing this section. I'd also like to ask You, Dear Reader, in words of Legion - friendly AI from Mass Effect game series - "Does this unit have a soul?"


For those interested in delving deeper into the subject of Artificial Intelligence, there are several key literature options across various formats, including books, academic papers, and online resources. Here are some recommendations:


  1. "Artificial Intelligence: A Guide for Thinking Humans" by Melanie Mitchell - This book provides an accessible introduction to AI concepts, history, and current developments, offering insights into the challenges and potential of AI from a human-centered perspective.

  2. "Superintelligence: Paths, Dangers, Strategies" by Nick Bostrom - Bostrom explores the potential risks and benefits of superintelligent AI, discussing scenarios where AI surpasses human intelligence and the implications for society and civilization.

  3. "Human Compatible: Artificial Intelligence and the Problem of Control" by Stuart Russell - Russell discusses the importance of aligning AI with human values and preferences to ensure beneficial outcomes, exploring strategies for designing AI systems that prioritize safety and ethical considerations.

  4. "Life 3.0: Being Human in the Age of Artificial Intelligence" by Max Tegmark - Tegmark explores the societal, ethical, and existential implications of advanced AI technologies, discussing possible futures and strategies for steering AI development toward positive outcomes.

By exploring these literature options, enthusiasts can deepen their understanding of AI, stay informed about the latest developments, and contribute to the ongoing discourse surrounding this rapidly evolving field.


Artificial Intelligence holds immense potential to revolutionize various aspects of human life, offering benefits such as automation, efficiency improvements, and enhanced decision-making. Already, AI technologies are transforming industries like healthcare, finance, transportation, and entertainment, making tasks easier and more convenient. However, concerns persist regarding job displacement, ethical implications, privacy risks, and existential threats.

To navigate these challenges, it's crucial to prioritize ethical AI development, transparency, and accountability. Collaboration among stakeholders, including policymakers, researchers, industry leaders, and civil society, is essential to ensure that AI serves the common good. By fostering responsible innovation and incorporating diverse perspectives, we can harness the power of AI to create a more equitable, sustainable, and prosperous future for all.