Advantages of artificial intelligence
| Advantages of artificial intelligence |
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Artificial intelligence raises questions from various fields, such as logic, probability or continuous mathematics. It contains learning, perception reasoning and action. The subject of this study includes both the smallest and largest things (Russel S. 2010, p.2). It leads to the impact of artificial intelligence on different fields and consequently its advantages.
Advantages of artificial intelligence are the positive aspects of imitating natural intelligence and the use of human features in development and technology.
There are factors that cause digital mind which may accumulate more optimization power than humans (Sotala K. 2012, p.276).
We can distinguish some kind of advantages depending on the features of artificial intelligence:
- Hardware advantages
- Self-improvements advantages
- Co-operative advantages
- Easier spread of knowledge
- Human handicaps which do not apply to Artificial Intelligence
Hardware advantages
Firstly there are hardware advantages. When we think about the computer system and the human brain, it is easier to drastically improve a computer system than a human brain. We can upgrade the system to better a version in contrast to human brain which cannot be rapidly upgraded (Sotala K. 2012, p.277).
Artificial Intelligence uses an algorithm based on human brain function but if there are deficiencies or that algorithm does not work efficiently on a computer, the algorithm is adapted to its needs. It decreases the amount of processing power which is required to run (Sotala K. 2012, p.277).
Artificial intelligence is independent of another digital mind. It can work without them in contrast to people who gravitate to others and after some time do not have the necessary skills (Chowdhury, M. 2012, p.6).
Because of human constraints, the brain needs an appropriate amount of time to process specified actions. The digital mind can overcome those limits and run faster. It is noticeable especially in its actions which are done many times (Sotala K. 2012, p.277). Furthermore, artificial intelligence never gets tired (Strong A. p.65).
Self-improvement advantages
The second advantage are self-improvement advantages. Artificial intelligence can usually read its own algorithm, modify it and understand. The consequence of reading its own documents is creating an application document with an improved version of itself. There are also some types of digital mind which can make a number of versions of one product. As a result, artificial intelligence makes a lot of copies of itself and ultimately chooses the best one. It leads to the possibility of schematic self-improvements which are more complicated in the case of the human brain. It is worth nothing that self-improvement allows the improvement of features such as memory or speed by creating a new algorithm. Furthermore, artificial intelligence can avoid problems with boredom, tiredness, procrastination, etc. (Sotala K. 2012, p.278).
Co-operative advantages
The third advantage is co-operative advantage. It is easier to make a copy of artificial intelligence than it is to raise children. The amount of copies depends on the amount of hardware which we can purchase. The large number of copies created can then co-operate easily. Artificial intelligence in contrast to humans can be constructed in a way to benefit overall purpose rathter than self-interest. Moreover, communication between artificial intelligence is more effective than between people because of application appropriate language (Sotala K. 2012, p.281-284). A big advantage is that all conflicts in the case of artificial intelligence are informational. Consequently, it is easier to solve them because the system is not as complicated as the human psyche (Omohundro S. 2017, p.27).
Easier spreading of knowledge
Artificial intelligence can easily apply knowledge from different alghoritms. As a result, artificial intelligence can overcome learning difficulties (Strong A. p.65).
Human handicaps do not apply to Artificial Intelligence
The final advantage is that human handicaps do not apply to Artificial Intelligence. Artificial intelligence can overcome obstacles connected with human reasoning or biases from socially motivated cognition (Sotala K. 2012, p.284-286). For instance, a digital mind doesn't connect their decision with emotion (Strong A. p.65). As a consequence, artificial intelligence is more effective regardless of circumstances.
Examples of Advantages of artificial intelligence
- Artificial intelligence can be used to automate tedious and repetitive tasks, freeing up time for humans to focus on more creative tasks. For example, intelligent bots can be used to automate customer service operations or to help detect fraud in financial transactions.
- AI can be used to improve the accuracy of decision-making. For example, AI-driven algorithms can be used to analyze data more accurately and quickly than humans, allowing decisions to be made more quickly and with more accuracy.
- AI can be used to automate the analysis of large datasets, allowing for more accurate predictions and decisions. For example, AI-driven algorithms can be used to analyze large volumes of data to identify trends and correlations that would otherwise be too difficult to detect.
- AI can be used to make more accurate predictions about the future. For example, AI-driven algorithms can be used to predict stock market movements or to predict the behavior of customers.
- AI can be used to automate processes and reduce human labor costs. For example, AI-driven robots can be used to automate manufacturing processes, reducing the need for manual labor.
Limitations of Advantages of artificial intelligence
The advantages of artificial intelligence (AI) can be numerous and powerful, but also come with certain limitations. These include: * AI algorithms can be difficult to explain, making their results hard to interpret and trust; * AI systems can be vulnerable to malicious actors, as they can be used to automate malicious acts; * AI systems are often limited in their processing power and require vast amounts of data to be effective; * AI systems can be prone to bias, as they often learn from data that is biased itself; * AI systems can be replaced by new technology quickly, leading to short-term investments with uncertain returns; * AI systems may be unable to recognize and respond to unexpected situations; * AI systems can be expensive to build and maintain, as they require large amounts of data, computing power, and maintenance.
The following are other approaches related to the advantages of Artificial Intelligence (AI):
- Machine Learning (ML) is a subfield of AI that allows computers to learn from data and improve their performance over time without explicit programming. ML algorithms are used in a wide range of applications such as image recognition and natural language processing.
- Cognitive Computing is an AI technique that involves using computing machines to simulate the human mind for tasks such as problem-solving, decision-making, and natural language processing.
- Robotic Process Automation (RPA) is a technology that uses software robots to automate mundane tasks, such as data entry and processing, that would otherwise be done manually by humans.
- Natural Language Processing (NLP) is an AI technique that enables machines to understand and interpret language as it is spoken and written by humans. The goal of NLP is to enable machines to interact with humans in natural language.
In summary, other approaches related to the advantages of Artificial Intelligence include Machine Learning, Cognitive Computing, Robotic Process Automation, and Natural Language Processing. All of these techniques enable machines to interact with humans, improve their performance over time, and automate mundane tasks.
References
- Chowdhury, M., & Sadek, A. W. (2012). Advantages and limitations of artificial intelligence. Artificial Intelligence Applications to Critical Transportation Issues, 6, 6-8.
- Li, D., & Du, Y. (2017). Artificial intelligence with uncertainty. CRC press.
- Omohundro, S. M. (2007). The nature of self-improving artificial intelligence. Singularity Summit, 2008.
- Russell, S. J., & Norvig, P. (2016). Artificial intelligence: a modern approach. Malaysia; Pearson Education Limited.
- Sotala, K. (2012).Advantages of artificial intelligences, uploads, and digital minds.International Journal of Machine Consciousness. Miri Machine intelligence research institute, 4(01), 275-291.
- Strong, A. I. (2016). Applications of artificial intelligence & associated technologies. Science [ETEBMS-2016], 5(6), 64-67.
Author: Joanna Trąbka
