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相关概念视频

Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

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Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
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Control Systems01:10

Control Systems

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Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
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Control Systems: Applications01:25

Control Systems: Applications

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Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
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Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
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Reason and Intuition01:37

Reason and Intuition

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The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
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Natural and Artificial Concepts01:24

Natural and Artificial Concepts

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In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
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Updated: Jun 7, 2025

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
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在评估人工智能风险的复杂系统视角.

Daniel Kondor1, Valerie Hafez2, Sudhang Shankar3

  • 1Complexity Science Hub, Vienna, Austria.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
|November 13, 2024
PubMed
概括
此摘要是机器生成的。

人工智能 (AI) 系统需要社会政治背景研究,以了解复杂的社会影响. 对人工智能的风险评估应采用复杂的系统方法,整合公众参与,以获得更好的结果.

关键词:
人工智能的人工智能是人工智能.复杂的系统复杂的系统.有风险的风险是有风险的风险.

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科学领域:

  • 社会技术系统 社会技术系统
  • 人工智能伦理学 人工智能伦理学
  • 公共政策 公共政策

背景情况:

  • 了解人工智能 (AI) 与社会结构之间的复杂关系至关重要.
  • 现有的风险评估框架可能无法完全捕捉到人工智能部署的复杂性.
  • 人工智能发展的长期后果受到社会不平等和决策的反循环的影响.

研究的目的:

  • 识别人工智能系统与社会之间相互作用的关键挑战.
  • 倡导在AI的社会政治背景下研究AI.
  • 为AI风险评估提出一个改进的框架.

主要方法:

  • 对人工智能的社会政治背景及其新出现的结果的分析.
  • 复杂系统视角应用于风险评估.
  • 强调公众参与和参与过程.

主要成果:

  • 由于复杂的相互作用,人工智能系统在风险评估中存在独特的挑战.
  • 一个社会政治镜头对于欣赏各种AI结果至关重要.
  • 目前的风险评估需要改进,以建模反循环和长期影响.

结论:

  • 人工智能风险评估必须整合复杂的系统视角,包括短期和长期影响的模型.
  • 增加公众参与和参与对于负责任的AI治理至关重要.
  • 在AI的社会政治背景下研究AI是导航其社会整合的关键.