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25 March 2025

What is AI? Exploring Artificial Intelligence in 2025

What is AI? 

Artificial Intelligence (AI) is an advanced computer technology designed to simulate human intelligence, enabling machines to think, learn, and process information similarly to the human brain. AI is a branch of computer science that focuses on developing systems capable of mimicking human reasoning, analysis, and cognitive processes.

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The core capability of AI lies in its ability to process and analyze vast amounts of data with incredible speed and accuracy—millions of times faster than the human brain. Additionally, AI excels in learning, planning, and problem-solving, making it a powerful tool that enhances human decision-making across various fields.

Examples of AI capabilities today include:

Natural Conversation in Voice Over Generators – From ChatGPT to image generation and real-time decision-making based on data in Stable Diffusion, AI has evolved significantly. In the past, artificial intelligence (AI) had limitations, especially in terms of sensory perception, which differed from human capabilities. Currently, Tesla is developing Tesla Bot, or Optimus, a humanoid robot capable of movement and interaction in a human-like manner. This development confirms that AI advancements today are surpassing all human imagination. As a result, AI has become a crucial technology driving progress across every industry worldwide.ก

Tesla Bot เสิร์ฟเครื่องดื่ม

Types of AI Technology 

Currently, Artificial Intelligence (AI) is categorized into 7 types based on its functionality, capabilities, and suitability for various tasks. These categories vary depending on the specific tasks and requirements, as outlined below:

1. Narrow AI

Narrow AI, or Weak AI, refers to AI systems designed to perform specific tasks efficiently. Although limited in scope, these systems excel at their designated functions with high precision. Common examples include Amazon’s Alexa and Apple’s Siri, which serve as AI assistants capable of understanding and responding to simple voice commands. Another example is the AI in Tesla’s self-driving cars, which can safely manage driving tasks within defined environments. Additionally, AI used in video games to answer questions or complete tasks also falls into this category.

2. General AI

General AI refers to the concept of AI that possesses human-like abilities across all domains. It can think, learn, and solve problems flexibly. While General AI is not yet fully realized, researchers are working on systems that come close. Examples include OpenAI’s GPT-3, which can understand and generate complex human language across various cultures and regions, and DeepMind’s AlphaFold, which can predict protein structures with remarkable accuracy. These advancements mark significant strides toward creating AI systems with more complex and versatile capabilities.

3. Superintelligent AI

Superintelligent AI refers to AI that surpasses human abilities in every aspect. While no concrete examples exist yet, scientists and science fiction writers have imagined potential outcomes, such as AI solving global warming efficiently or discovering cures for currently incurable diseases. However, there are ongoing debates about the feasibility and ethical implications of such advanced AI, particularly concerning AI Ethics and its potential societal impact.

4. Reactive machines

Reactive Machines are basic AI systems that respond directly to stimuli without the ability to remember or learn from past experiences. A famous example is IBM’s Deep Blue, which defeated the world chess champion in 1996 by analyzing the board and calculating the best possible moves. Another example includes short-term weather prediction AI, which analyzes current weather data to forecast conditions for the next few hours.

5. Computer vision

Computer Vision is an AI technology that enables computers to see and interpret digital images. A common example of its application is the facial recognition system in smartphones, which unlocks the device, or the smart cameras in vehicles that can detect pedestrians and traffic signs. In the Thai medical field, Computer Vision is utilized in the AI CHEST 4ALL project, which analyzes X-ray images to assist doctors in making more accurate diagnoses, with a processing time of about 50 milliseconds.

6. Generative AI

Generative AI is an AI technology capable of creating new content by learning from existing data and automatically generating new material based on given instructions. The most commonly used foundational model is the Large Language Models (LLMs).

A notable example is OpenAI’s DALL-E, which can generate images from textual descriptions, or GPT-3, which can write articles, short stories, and even computer code simply by entering a prompt (a set of instructions in a simple text format). In the music industry, AI such as MuseNet can compose songs in various styles, and in the fashion industry, Generative AI is used to design new clothing and accessories, among other things.

7. Robotic Process Automation – RPA

RPA is a technology that uses software robots or bots to perform routine tasks on behalf of humans, particularly in jobs that are repetitive and have clear rules. A common application of RPA is in banks, where it is used to process loan applications by quickly verifying information, calculating risks, and making preliminary decisions. In the insurance industry, RPA is employed to handle simple claims, reducing processing time and enhancing customer satisfaction. Additionally, in the manufacturing sector, RPA is used for controlling and inspecting product quality in automated production lines.

Advantages and Disadvantages of Using Artificial Intelligence (AI)

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While Artificial Intelligence (AI) is a highly powerful technology that is transforming various sectors of society, its use comes with both advantages and disadvantages that should be carefully considered.

Advantages

  • Enhanced Efficiency and Time Savings
    AI can perform repetitive and time-consuming tasks quickly and accurately, reducing the workload on humans and increasing overall productivity.
  • Reducing Bias and Prejudice  
    AI makes decisions based solely on data and logical analysis, helping to eliminate biases that may arise from human emotions or personal experiences.
  • Fostering Innovation
    AI enables humans to solve complex problems, such as early detection of breast cancer or the development of new treatments for diseases.
  • Personalized Learning
    In education, AI can analyze student data to create customized learning plans and assessments tailored to each individual’s needs.
  • Increase Productivity at the Industrial Level
    AI can enhance machine efficiency and assist workers in producing more while reducing fatigue.

Disadvantages

  • Ethical Issues
    AI relies solely on the data used for training, which may lead to discriminatory actions or unfair outcomes in the decisions it makes.
  • Privacy Concerns
    The use of AI often involves the collection and analysis of large amounts of data, which may pose a risk of data leakage to third parties or hackers from the AI system itself
  • Lack of Creativity and Emotion  
    Frequent use of AI may lead to a loss of creativity in users, as well as the reception of information devoid of empathy or emotional insight.
  • Changes in Employment 
    The adoption of AI may lead to shifts in the labor market, potentially causing certain types of manual jobs to disappear or requiring workers to adapt and acquire new skills
  • Security Risks 
    AI systems may become targets of cyberattacks, which could have severe consequences if controlled by malicious actors on the internet.
  • Implementation Costs
    The development and integration of AI systems always come with business expenses, particularly increasing operational costs in large organizations.

Using AI effectively and responsibly requires considering both its advantages and disadvantages. This ensures that the technology can be fully leveraged while minimizing potential risks and negative impacts.

Artificial Intelligence and Legal Aspects in Thailand

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Artificial Intelligence (AI) is rapidly becoming a significant part of daily life and business, leading to various legal challenges. Both Thailand and the global community have started to become more aware of the need to develop a legal framework to properly accommodate AI technology. As of 2024, while Thailand does not yet have specific legislation for regulating AI, there have been efforts to develop relevant legal frameworks and guidelines, as follows:

AI Ethics Guidelines

The National Digital Economy and Society Commission (NDESC) has developed the “Principles and Guidelines for AI Ethics in Thailand” to serve as a framework for researchers, designers, developers, and AI service providers in the ethical use of AI. Additionally, there are guidelines from other organizations, such as the National Science and Technology Development Agency (NSTDA) and Chulalongkorn University.

Draft Laws Related to AI

Important Legal Issues Related to AI

Civil Liability for Damages Caused by AI

Currently, Thai law does not allow for direct lawsuits against AI, as AI is not recognized as a legal person. However, victims may pursue legal action by holding responsible parties accountable, such as the developers, designers, or operators of the AI system, depending on the circumstances and the nature of the damage caused.

Copyright Issues in Works Created by AI

Current copyright law does not explicitly provide protection for works created by AI, as copyright principles are designed to protect human expression only. AI is not considered a creator under the law, as it lacks the element of “Human Authorship.” Only works created by humans can qualify for copyright protection.

However, this issue remains a topic of international debate, and future updates to copyright laws may be needed to accommodate works created by AI. Thailand is actively working on developing legal frameworks and policies to address AI, with significant trends emerging as follows:

The development of AI laws and policies in Thailand is still in its early stages but has been progressing steadily. A key challenge is finding a balance between promoting innovation and protecting citizens’ rights, as well as preparing for the social and economic impacts that may arise from the widespread use of AI. The development of AI legislation is therefore a critical issue that requires the attention and involvement of all sectors to ensure that Thailand can harness the benefits of AI in an effective and equitable manner.

Relate TAG:

This article was originally written in Thai and translated by a Thai translator and translation was then refined by Claude 3.5 Sonnet, the latest AI model from Anthropic – a technology that uses artificial intelligence to translate text from one language to another. The final translation has been verified by Sixtygram. If you find any inaccuracies, please contact us immediately.

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Written by RUJIRA PROMCHAT

A skilled language translation expert, she adeptly translates stories from Thai to English with a focus on SEO and precise proofreading. Her work ensures that each translated piece is accurate, engaging, and leaves a lasting impression on readers.

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