Artificial intelligence terminology
Pro Research Analysisby 
Searched over 200M research papers
Key Concepts and Definitions in Artificial Intelligence Terminology
Artificial intelligence (AI) terminology is complex and constantly evolving, reflecting the rapid development and interdisciplinary nature of the field. The term "artificial intelligence" itself has never had clear boundaries, originally defined as making a machine behave in ways that would be considered intelligent if performed by a human Hutson2017Wang2019. Over time, the terminology has expanded to include related concepts such as machine learning, neural networks, and artificial general intelligence (AGI) Hutson2017Mitchell2024.
Technical Complexity and Multidisciplinarity in AI Vocabulary
AI terminology is characterized by its technical complexity and the integration of concepts from various disciplines, including computer science, robotics, cognitive science, linguistics, and philosophy Alshtaiwi2025Mikelionienė2021Raghuvanshi2018+1 MORE. This multidisciplinary approach leads to a large and dynamic vocabulary, with terms often carrying different meanings depending on the context and field of application Alshtaiwi2025Mikelionienė2021Kühl2022. For example, terms like "machine learning" and "deep learning" are sometimes used interchangeably with AI, but they refer to specific subfields within the broader domain Kühl2022Shrivastava2024.
Evolution and Ambiguity in AI Language
The language of AI is rapidly evolving, with new terms and concepts emerging as the technology advances. This evolution can create ambiguities and inconsistencies in how terms are used and understood, both within the field and in public discourse Alshtaiwi2025Hutson2017Obidovna2024. For instance, the definition of "intelligence" itself is debated, with some proposing that it involves adaptation with insufficient knowledge and resources, while others emphasize the capacity to achieve novel goals through computational processes Wang2019Gignac2024.
Artificial General Intelligence (AGI) and Its Terminological Challenges
The term "artificial general intelligence" (AGI) has gained prominence in recent years, especially in discussions about the future potential of AI systems Mitchell2024Gignac2024. AGI refers to systems that can perform a wide range of tasks at a human-like level of intelligence, but there is ongoing debate about what constitutes AGI and whether current technologies, such as large language models, meet this definition Mitchell2024Gignac2024. The lack of consensus on AGI's definition highlights the broader challenges in standardizing AI terminology.
Importance of Context and Standardization
Context is essential for understanding AI terminology, as the meaning and connotation of terms can vary widely across different applications and languages Alshtaiwi2025Mikelionienė2021. Efforts to harmonize and standardize AI vocabulary are important for facilitating interdisciplinary collaboration and advancing research Obidovna2024Kühl2022Gignac2024. Proposals for refined nomenclature and standardized measurement practices, such as "AI metrics," aim to bridge gaps between human and artificial perspectives on intelligence .
Conclusion
Artificial intelligence terminology is marked by technical complexity, rapid evolution, and interdisciplinary influences, leading to both richness and ambiguity in its language. Clear definitions and standardized usage are crucial for effective communication and progress in the field, especially as AI continues to expand into new domains and societal discussions Alshtaiwi2025Hutson2017Mikelionienė2021+2 MORE.
Sources and full results
Most relevant research papers on this topic