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 maximise their chances of achieving defined goals.[1]
Artificial Intelligence
Summary. The term artificial intelligence (AI) is typically used as if it refers to a coherent, extant or near-future set of technologies, but, in fact, it
Artificial Intelligence Glossary | Stanford HAI
Artificial Intelligence (AI) is rapidly growing, with new terms and concepts being introduced at a breakneck speed. You may have seen terms such as AGI, machine learning, or foundation models in media headlines, emerging legislation, or in your everyday life.
AI is An Ideology, Not A Technology
At its core, "artificial intelligence" is a perilous belief that fails to recognize the agency of humans.
What Are Machine Learning Algorithms? | IBM
A machine learning algorithm is the procedure and mathematical logic through which an AI model learns patterns in training data and applies to them to new data.
Machine Learning vs AI: Differences, Uses, & Benefits
Machine learning is a subset of AI focused on algorithms enabling computers to learn and make predictions without being programmed.
AI for science: What can it do? Can it do things? Let’s find out!
A what we’re reading spotlight
What is Machine Learning? | IBM
Machine learning is the subset of AI focused on algorithms that analyze and “learn” the patterns of training data in order to make accurate inferences about new data.
Agents
Intelligent agents are considered by many to be the ultimate goal of AI. The classic book by Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach (Prentice Hall, 1995), defines the field of AI research as “the study and design of rational agents.”
Are We Thinking Correctly About AI Intelligence? | Quanta Magazine
Computer scientist Melanie Mitchell discusses why artificial intelligence doesn’t “think” or “reason” like humans, and how we can create better methods for measuring machine cognition.
Human scientists trounce the best AI agents on complex tasks
State-of-the-industry report finds that, despite the limitations of artificial-intelligence systems, researchers have embraced them.
A Collectivist, Economic Perspective on AI
Information technology is in the midst of a revolution in which omnipresent data collection and machine learning are impacting the human world as never before. The word ``intelligence'' is being...
Wikipedia:Artificial intelligence resources
This is a directory related to artificial intelligence (AI) in various administrative namespaces including; protocols, essays, collaboration groups, maintenance resources, discussions and news.
Machine understanding
What do artificial intelligence (AI) systems “understand”? This question arises not only in assessing a system’s intelligence but also in evaluation practices to ensure the safe and responsible deployment of AI. Drawing on scholarship from philosophy and cognitive science, and informed by current practices in AI, we develop a framework for asking more precise questions and making more precise claims about machine understanding. We conceptualize understanding as a relation between a system (S) and a target of understanding (T), and we discuss how to specify the relation, the system, and the target, offering a landscape of options in each case. Our goal is not to defend a particular account of understanding, but to provide conceptual tools for those working to assess or advance machine understanding.
And this includes any all scientific uses of AI and indeed any computational system, weather prediction, cancer research, medical imaging, mathematics, please just don't claim it's fine if you don't research automation in those areas. I'll post further resources below...
Emily M. Bender
But speaking of staying in one's lane, can we PLEASE switch the default position from "It's fine to use 'AI' for this thing I'm not an expert in" to "Yeah, I'd be really skeptical of any use cases and need to see strong evidence that it's okay, but I'm not the one who can produce that evidence"?
When people ask me what the phrase "artificial intelligence" means, my short answer is, it means "venture capitalists, give me some money". But OUP asked me for a longer answer, given here and summarized in the section headings: doi.org/10.1093/9780197852712.003.006…
AI
AI research, critical perspectives, agent design, digital humanities. How AI systems work, their embedded values, and the thinking around building agentic systems.
Agency and Agents
ГАЛЬВАНИЗАЦИЯ АВТОРА, ИЛИ ЭКСПЕРИМЕНТ С НЕЙРОННОЙ ПОЭЗИЕЙ. Борис Орехов. «Новый мир» №6, 2018
Personal Online RL | 🌱 | Offprint
Approaching an unknown communication system by latent space exploration and causal inference | Royal Society Open Science | The Royal Society
Surya Narreddi
Permutation: Issue One
