Artificial intelligence definition
Pro Research Analysisby 
Searched over 200M research papers
Artificial Intelligence Definition: Key Concepts and Criteria
Artificial intelligence (AI) is broadly defined as the ability of machines or computer systems to perform tasks that would normally require human intelligence, such as reasoning, learning, problem-solving, and decision-making Morandín-Ahuerma2022Shrivastava2024Mehak2023+3 MORE. AI systems can simulate cognitive abilities and act autonomously or semi-autonomously, depending on their design and purpose Morandín-Ahuerma2022A2023.
Multidisciplinary Nature and Evolving Definitions
AI is a multidisciplinary field that draws from computer science, engineering, linguistics, data analytics, and more Shrivastava2024Mehak2023Ronanki2023. Because of its wide-ranging applications and rapid development, there is no single universally accepted definition of AI. This lack of consensus can create challenges in research, technology development, and legal regulation . Scholars emphasize the need for a definition that is simple, aligns with common usage, draws clear boundaries, and supports productive research Wang2019Baranov2023.
Core Elements of Artificial Intelligence
Most definitions of AI share several core elements:
- Emulation of Human Intelligence: AI enables machines to mimic human-like abilities such as understanding language, recognizing images, making recommendations, and learning from data Morandín-Ahuerma2022Shrivastava2024Hutson2017.
- Autonomy and Performance: AI systems vary in their level of autonomy (from reactive to fully autonomous) and their ability to perform tasks, make decisions, and predict outcomes Morandín-Ahuerma2022A2023.
- Adaptation with Limited Resources: Some definitions highlight AI’s ability to adapt and solve problems even with insufficient knowledge or resources, emphasizing flexibility and efficiency Wang2019Li2017.
- Real-World Applications: AI is used in diverse fields such as healthcare, finance, education, manufacturing, and transportation, revolutionizing how data is analyzed and decisions are made Shrivastava2024Mehak2023Ronanki2023+2 MORE.
Historical and Practical Perspectives
The term "artificial intelligence" was first introduced in 1956, with the broad goal of making machines behave in ways that would be considered intelligent if performed by humans . Over time, advances like machine learning and neural networks have expanded AI’s capabilities, making it a foundational technology for modern innovation Shrivastava2024Hutson2017De Zúñiga2023.
Conclusion
Artificial intelligence is best understood as the capability of machines to perform tasks that require human-like intelligence, including reasoning, learning, and decision-making. Its definition continues to evolve as the field advances, but it consistently centers on the emulation of human cognitive abilities, varying levels of autonomy, and adaptability across a wide range of real-world applications Wang2019Morandín-Ahuerma2022Baranov2023+7 MORE.
Sources and full results
Most relevant research papers on this topic