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Artificial Intelligence - Wikipedia
webCredibility Rating
3/5
Good(3)Good quality. Reputable source with community review or editorial standards, but less rigorous than peer-reviewed venues.
Rating inherited from publication venue: Wikipedia
Wikipedia's overview of artificial intelligence provides foundational context for AI safety by covering AI's history, capabilities, goals, and subfields including explicit mention of AI safety as a major research goal.
Metadata
Importance: 40/100wiki pagereference
Summary
This Wikipedia article provides a comprehensive overview of artificial intelligence, covering its definition, major goals, approaches, applications, and history. It describes AI as computational systems performing human-like tasks and notes that AGI development is a goal of major labs. AI safety is listed as one of the major goals of AI research.
Key Points
- •AI is defined as computational systems performing tasks associated with human intelligence including learning, reasoning, and decision-making.
- •AI safety is explicitly listed as a major goal of AI research alongside capabilities like NLP, robotics, and planning.
- •Major companies like OpenAI, Google DeepMind, and Meta aim to create AGI capable of matching human cognitive performance.
- •The field has experienced cycles of optimism and 'AI winters,' with major acceleration after 2012 due to GPU-accelerated deep learning.
- •AI subfields draw on mathematics, computer science, psychology, linguistics, philosophy, and neuroscience.
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| AI Evaluation | Approach | 72.0 |
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Artificial intelligence - Wikipedia Jump to content From Wikipedia, the free encyclopedia Intelligence of machines "AI" redirects here. For other uses, see AI (disambiguation) and Artificial intelligence (disambiguation) . Part of a series on Artificial intelligence (AI) Major goals Artificial general intelligence Intelligent agent Recursive self-improvement Planning Computer vision General game playing Knowledge representation Natural language processing Robotics AI safety Approaches Machine learning Symbolic Deep learning Bayesian networks Evolutionary algorithms Hybrid intelligent systems Systems integration Open-source AI data centers Applications Bioinformatics Deepfake Earth sciences Finance Generative AI Art Audio Music Government Healthcare Mental health Industry Software development Translation Military Physics Projects Philosophy AI alignment Artificial consciousness The bitter lesson Chinese room Friendly AI Ethics Existential risk Turing test Uncanny valley Human–AI interaction History Timeline Progress AI winter AI boom AI bubble Controversies Deepfake pornography Taylor Swift deepfake pornography controversy Grok sexual deepfake scandal Google Gemini image generation controversy It's the Most Terrible Time of the Year Pause Giant AI Experiments Removal of Sam Altman from OpenAI Statement on AI Risk Tay (chatbot) Théâtre D'opéra Spatial Voiceverse NFT plagiarism scandal Glossary Glossary v t e Artificial intelligence ( AI ) is the capability of computational systems to perform tasks typically associated with human intelligence , such as learning , reasoning , problem-solving , perception , and decision-making . It is a field of research in engineering , mathematics and computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [ 1 ] High-profile applications of artificial intelligence include advanced web search engines (e.g., Google Search ); recommendation systems (used by YouTube , Amazon , and Netflix ); virtual assistants (e.g., Google Assistant , Siri , and Alexa ); autonomous vehicles (e.g., Waymo ); generative and creative tools (e.g., language models and AI art ); and superhuman play and analysis in strategy games (e.g., chess and Go ). However, many AI applications are not perceived as such: "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 ." [ 2 ] [ 3 ] Various subfields of AI research are centered around particular goals and the use of particular tools. The traditional goals of AI research include learning, reasoning , knowledge representation , planning , natural language processing , and perception , as well as support for robotics . [ a ] To reach these goals, AI researchers have adapted and i
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