See also: History of artificial intelligence and Timeline of artificial intelligence
Part of a series on
Artificial intelligence
Major goals
Artificial general intelligence
Intelligent Agent
Recursive self-improvement
Planning
Computer vision
General game playing
Knowledge reasoning
Natural language processing
Robotics
AI safety
Approaches
Machine learning
Symbolic
Deep learning
Bayesian networks
Evolutionary algorithms
Situated approach
Hybrid intelligent systems
Systems integration
Applications
Projects
Deepfake
Machine translation
Generative AI
Art
Audio
Music
Healthcare
Mental health
Government
Industry
Earth sciences
Bioinformatics
Physics
Philosophy
Chinese room
Friendly AI
Control problem/Takeover
Ethics
Existential risk
Turing test
Regulation
History
Timeline
Progress
AI winter
AI boom
Glossary
Glossary
v
t
e
Progress in machine classification of images The error rate of AI by year. Red line - the error rate of a trained human on a particular task.
Progress in artificial intelligence (AI) refers to the advances, milestones, and breakthroughs that have been achieved in the field of artificial intelligence over time. AI is a multidisciplinary branch of computer science that aims to create machines and systems capable of performing tasks that typically require human intelligence. Artificial intelligence applications have been used in a wide range of fields including medical diagnosis, economic-financial applications, robot control, law, scientific discovery, video games, and toys. However, many AI applications are not perceived as AI: "A lot of cutting edge AI has filtered into general applications, often without being called AI because once something becomes useful enough and common enough it's not labeled AI anymore."[1][2] "Many thousands of AI applications are deeply embedded in the infrastructure of every industry."[3] In the late 1990s and early 21st century, AI technology became widely used as elements of larger systems,[3][4] but the field was rarely credited for these successes at the time.
Kaplan and Haenlein structure artificial intelligence along three evolutionary stages: 1) artificial narrow intelligence – applying AI only to specific tasks; 2) artificial general intelligence – applying AI to several areas and able to autonomously solve problems they were never even designed for; and 3) artificial super intelligence – applying AI to any area capable of scientific creativity, social skills, and general wisdom.[2]
To allow comparison with human performance, artificial intelligence can be evaluated on constrained and well-defined problems. Such tests have been termed subject matter expert Turing tests. Also, smaller problems provide more achievable goals and there are an ever-increasing number of positive results.
Humans still substantially outperform both GPT-4 and models trained on the ConceptARC benchmark that scored 60% on most, and 77% on one category, while humans 91% on all and 97% on one category.[5]
^AI set to exceed human brain power Archived 2008-02-19 at the Wayback Machine CNN.com (July 26, 2006)
^ abKaplan, Andreas; Haenlein, Michael (2019). "Siri, Siri, in my hand: Who's the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence". Business Horizons. 62: 15–25. doi:10.1016/j.bushor.2018.08.004. S2CID 158433736.
^ abKurtzweil 2005, p. 264 harvnb error: no target: CITEREFKurtzweil2005 (help)
^National Research Council (1999), "Developments in Artificial Intelligence", Funding a Revolution: Government Support for Computing Research, National Academy Press, ISBN 978-0-309-06278-7, OCLC 246584055 under "Artificial Intelligence in the 90s"
^Biever, Celeste (25 July 2023). "ChatGPT broke the Turing test — the race is on for new ways to assess AI". Nature. Retrieved 26 July 2023.
and 28 Related for: Progress in artificial intelligence information
Progressinartificialintelligence (AI) refers to the advances, milestones, and breakthroughs that have been achieved in the field of artificial intelligence...
Artificialintelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems. It is a field of research in...
Artificial general intelligence (AGI) is a type of artificialintelligence (AI) that matches or surpasses human capabilities across a wide range of cognitive...
AI spring, is an ongoing period of rapid progressin the field of artificialintelligence (AI) that started in the late 2010s. Known examples include protein...
Artificialintelligencein healthcare is the application of artificialintelligence (AI) to copy human cognition in the analysis, presentation, and understanding...
history of artificialintelligence (AI) began in antiquity, with myths, stories and rumors of artificial beings endowed with intelligence or consciousness...
Artificialintelligence (AI) has been used in applications throughout industry and academia. Similar to electricity or computers, AI serves as a general-purpose...
Generative artificialintelligence (generative AI, GenAI, or GAI) is artificialintelligence capable of generating text, images, videos, or other data...
The ethics of artificialintelligence covers a broad range of topics within the field that are considered to have particular ethical stakes. This includes...
Friendly artificialintelligence (also friendly AI or FAI) is hypothetical artificial general intelligence (AGI) that would have a positive (benign) effect...
"Future progressinartificialintelligence: A survey of expert opinion". In V. C. Müller (ed): Fundamental issues of artificialintelligence (pp. 555–572)...
This is a timeline of artificialintelligence, sometimes alternatively called synthetic intelligence. Timeline of machine translation Timeline of machine...
technological progress does not cause long-term unemployment. However, recent innovation in the fields of robotics and artificialintelligence has raised...
This glossary of artificialintelligence is a list of definitions of terms and concepts relevant to the study of artificialintelligence, its sub-disciplines...
Apple Intelligence is an artificialintelligence platform developed by Apple Inc. Relying on a combination of on-device and server processing, it was announced...
The ArtificialIntelligence Act (AI Act) is a European Union regulation concerning artificialintelligence (AI). It establishes a common regulatory and...
Distributed artificialintelligence (DAI) also called Decentralized ArtificialIntelligence is a subfield of artificialintelligence research dedicated...
Industrial artificialintelligence, or industrial AI, usually refers to the application of artificialintelligence to industry and business. Unlike general...
Artificialintelligencein education is the application of artificialintelligence (AI) to enhance teaching and learning processes. It has garnered significant...
accidents, misuse, or other harmful consequences arising from artificialintelligence (AI) systems. It encompasses machine ethics and AI alignment, which...
AI, or explainable machine learning (XML), either refers to an artificialintelligence (AI) system over which it is possible for humans to retain intellectual...
machines is called artificialintelligence. The word intelligence derives from the Latin nouns intelligentia or intellēctus, which in turn stem from the...
Artificialintelligence (AI) has a range of uses in government. It can be used to further public policy objectives (in areas such as emergency services...
Regulation of artificialintelligence is the development of public sector policies and laws for promoting and regulating artificialintelligence (AI). It is...
Artificialintelligence detection software aims to determine whether some content (text, image, video or audio) was generated using artificial intelligence...
Global Information
