AI
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Artificial intelligence (AI) can be defined as machines that can mimic human intelligence and behavior. The document discusses different types of AI like robots, which are programmed to perform tasks, while AI can learn from human behavior. Tests for AI are also described, including the Turing Test which involves determining if a human or computer is behind different conversations. Examples of current AI technologies like drones, cars and IBM's Watson are provided. While AI is advancing, issues around job losses, costs and how AI may impact humanity are controversies that still need addressing as AI will continue growing in the future.
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Artificial Intelligence
This document provides an overview of artificial intelligence (AI), including its history, current status, how it works, advantages, and disadvantages. It discusses how AI was developed in the 1960s to mimic human intelligence using machine programming. Today, AI is widely used through technologies like machine learning, deep learning, and natural language processing in applications ranging from personal devices and smart cars to media streaming and home appliances. The document also provides details on how AI systems are trained using large datasets to identify patterns and make predictions, and discusses both the benefits of AI such as reduced time for data-heavy tasks, as well as limitations like lack of ability to generalize.
ARTIFICIAL INTELLIGENCE
This document provides an overview of artificial intelligence (AI), including its history, languages, applications, and limitations. It defines AI as making computers think like humans through studying processes like reasoning, learning, and problem-solving. The document discusses pioneering AI languages like Lisp and Prolog and applications such as natural language understanding, expert systems, planning, robotics, and machine learning. It also notes some limitations of AI like its limited ability compared to humans, slow real-time response, inability to handle emergencies, difficulty of coding, and high costs.
AI
Artificial intelligence (AI) is the field of computer science that develops machines or software with human-like intelligence. There are two types of AI: narrow AI, which is limited to specific tasks, and strong AI, which would have general human-level intelligence. AI is being applied in many areas including healthcare, transportation, education, and more. Some key developments in AI history include the invention of the Turing test in 1950 to measure machine intelligence, IBM's Deep Blue beating the chess champion in 1997, and IBM Watson winning Jeopardy in 2011. Cognitive computing systems like Watson are aimed at simulating human thought processes.
Artificial intelligence
The document discusses the history, goals, current status, and future of artificial intelligence. It defines AI as making computers think intelligently like humans by studying the human brain. The goals of AI are to create expert systems that exhibit intelligent behavior and implement human intelligence in machines. The history of AI includes early foundations in the 1940s and milestones like Deep Blue beating Kasparov in 1997. Current AI is demonstrated in technologies like mobile assistants, robots, and self-driving cars. The future of AI is expected to include more human-level speech recognition and practical applications that digitally recreate human intelligence.
Artificial Intelligence
Human intelligence is the intellectual powers of humans, Learning
Decision Making
Solve Problems
Feelings(Love,Happy,Angry)
Understand
Apply logic
Experience
making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think.
Robots are autonomous or semi-autonomous machines meaning that they can act independently of external commands. Artificial intelligence is software that learns and self-improves.
Why Artificial Intelligence?
• Computers can do computations, by fixed programmed rules
• A.I machines perform tedious tasks efficiently & reliably.
• computers can’t understanding & adapting to new situations.
• A.I aims to improve machine to do such complex tasks.
Advantages of A.I:
Error Reduction
Difficult Exploration(mining & exploration processes)
Daily Application(Siri, Cortana)
Digital Assistants(interact with users)
Medical Applications(Radiosurgery)
Repetitive Jobs(monotonous)
No Breaks
Some disadvantages of A.I:
High Cost
Unemployment
Weaponization
No Replicating Humans
No Original Creativity
No Improvement with Experience
Safety/Privacy Issues
Artificial intelligence will be a Greatest invention Until Machines under the human control. Otherwise The new ERA will be There…..!
ARTIFICIAL INTELLIGENCE
This document is a presentation on artificial intelligence. It begins with a definition of AI and discusses its foundations. It then covers information and applications of AI, its growth, top AI countries including the US, India, and China, and the robot Sophia. The presentation also outlines advantages such as error reduction and difficult exploration, as well as disadvantages including high costs and lack of improvement with experience. It concludes with a bibliography of sources.
Artificial intelligence
Title: Incredible developments in Artificial intelligence which was the future scenario.
Here I discussed the with the major backbones of AI (Machine learning, Neural networks) types Machine learning and type of Artificial intelligence and with some real-time examples of AI and ML & Benefits and Future of AI with some pros and Cons of Artificial Intelligence.
Artificial Intelligence
This document discusses artificial intelligence and its components. It begins with definitions of artificial intelligence as making computers behave like humans and as the intelligence exhibited by machines. The field was founded in 1956 at a conference where leaders like John McCarthy established AI research. The components discussed include playing games like chess, developing expert systems, natural language processing, and robotics. It provides examples of computers defeating humans at chess and the use of robots in manufacturing.
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Artificial Intelligence
This document provides an overview of artificial intelligence (AI), including its history, current status, how it works, advantages, and disadvantages. It discusses how AI was developed in the 1960s to mimic human intelligence using machine programming. Today, AI is widely used through technologies like machine learning, deep learning, and natural language processing in applications ranging from personal devices and smart cars to media streaming and home appliances. The document also provides details on how AI systems are trained using large datasets to identify patterns and make predictions, and discusses both the benefits of AI such as reduced time for data-heavy tasks, as well as limitations like lack of ability to generalize.
ARTIFICIAL INTELLIGENCE
This document provides an overview of artificial intelligence (AI), including its history, languages, applications, and limitations. It defines AI as making computers think like humans through studying processes like reasoning, learning, and problem-solving. The document discusses pioneering AI languages like Lisp and Prolog and applications such as natural language understanding, expert systems, planning, robotics, and machine learning. It also notes some limitations of AI like its limited ability compared to humans, slow real-time response, inability to handle emergencies, difficulty of coding, and high costs.
AI
Artificial intelligence (AI) is the field of computer science that develops machines or software with human-like intelligence. There are two types of AI: narrow AI, which is limited to specific tasks, and strong AI, which would have general human-level intelligence. AI is being applied in many areas including healthcare, transportation, education, and more. Some key developments in AI history include the invention of the Turing test in 1950 to measure machine intelligence, IBM's Deep Blue beating the chess champion in 1997, and IBM Watson winning Jeopardy in 2011. Cognitive computing systems like Watson are aimed at simulating human thought processes.
Artificial intelligence
The document discusses the history, goals, current status, and future of artificial intelligence. It defines AI as making computers think intelligently like humans by studying the human brain. The goals of AI are to create expert systems that exhibit intelligent behavior and implement human intelligence in machines. The history of AI includes early foundations in the 1940s and milestones like Deep Blue beating Kasparov in 1997. Current AI is demonstrated in technologies like mobile assistants, robots, and self-driving cars. The future of AI is expected to include more human-level speech recognition and practical applications that digitally recreate human intelligence.
Artificial Intelligence
Human intelligence is the intellectual powers of humans, Learning
Decision Making
Solve Problems
Feelings(Love,Happy,Angry)
Understand
Apply logic
Experience
making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think.
Robots are autonomous or semi-autonomous machines meaning that they can act independently of external commands. Artificial intelligence is software that learns and self-improves.
Why Artificial Intelligence?
• Computers can do computations, by fixed programmed rules
• A.I machines perform tedious tasks efficiently & reliably.
• computers can’t understanding & adapting to new situations.
• A.I aims to improve machine to do such complex tasks.
Advantages of A.I:
Error Reduction
Difficult Exploration(mining & exploration processes)
Daily Application(Siri, Cortana)
Digital Assistants(interact with users)
Medical Applications(Radiosurgery)
Repetitive Jobs(monotonous)
No Breaks
Some disadvantages of A.I:
High Cost
Unemployment
Weaponization
No Replicating Humans
No Original Creativity
No Improvement with Experience
Safety/Privacy Issues
Artificial intelligence will be a Greatest invention Until Machines under the human control. Otherwise The new ERA will be There…..!
ARTIFICIAL INTELLIGENCE
This document is a presentation on artificial intelligence. It begins with a definition of AI and discusses its foundations. It then covers information and applications of AI, its growth, top AI countries including the US, India, and China, and the robot Sophia. The presentation also outlines advantages such as error reduction and difficult exploration, as well as disadvantages including high costs and lack of improvement with experience. It concludes with a bibliography of sources.
Artificial intelligence
Title: Incredible developments in Artificial intelligence which was the future scenario.
Here I discussed the with the major backbones of AI (Machine learning, Neural networks) types Machine learning and type of Artificial intelligence and with some real-time examples of AI and ML & Benefits and Future of AI with some pros and Cons of Artificial Intelligence.
Artificial Intelligence
This document discusses artificial intelligence and its components. It begins with definitions of artificial intelligence as making computers behave like humans and as the intelligence exhibited by machines. The field was founded in 1956 at a conference where leaders like John McCarthy established AI research. The components discussed include playing games like chess, developing expert systems, natural language processing, and robotics. It provides examples of computers defeating humans at chess and the use of robots in manufacturing.
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The document provides a history of artificial intelligence, key figures in AI development, and examples of modern AI technologies. It discusses how the idea of AI originated in ancient Greece and how Alan Turing introduced the Turing test in 1937. Examples of modern AI include Sophia, a humanoid robot created by Hanson Robotics, and Rashmi, an Indian humanoid robot that can speak three languages. The document outlines advances in AI and its applications in fields such as military technology, space exploration, healthcare, and more.
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This document discusses artificial intelligence and robotics. It begins by defining artificial intelligence as the ability of computers to learn and solve problems autonomously through algorithms. The document then covers the history and goals of AI, including reasoning, knowledge representation, and learning. It provides examples of modern AI applications and envisions further advances in areas like speech and image recognition. The document also defines robotics and discusses how AI relates to robot sensors, effectors, architecture, and information processing. It concludes by addressing myths about AI and arguing that potential dangers depend more on human decisions about machine goals than the technology itself.
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Contains a detailed Slides on Artificial Intelligence.
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What are its uses?
advantages?
disadvantages?
Charasteristics?
examples?
functions
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Artificial intelligence (AI) is the ability of digital computers or robots to perform tasks commonly associated with intelligent beings. The idea of AI has its origins in ancient Greece but the field began in the 1950s. Today, AI is used in applications like IBM's Watson, driverless cars, automated assembly lines, surgical robots, and traffic control systems. The future of AI depends on whether researchers can achieve human-level or superhuman intelligence through techniques like whole brain emulation. Critics argue key challenges remain in replicating general human intelligence and consciousness with technology.
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This document discusses artificial intelligence and its applications. It defines AI as the science and engineering of making intelligent machines. It then lists some pros and cons of AI, such as it helping with laborious tasks but also the risk of robots superseding humans. The document also outlines different types of AI like game playing, speech recognition, computer vision, and expert systems. It notes applications of AI in areas like surgery simulators and fraud detection. The document concludes with some quotes expressing concerns about the development of advanced AI and the need for regulatory oversight to avoid potential risks.
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What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginn...
** Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training **
This tutorial on Artificial Intelligence gives you a brief introduction to AI discussing how it can be a threat as well as useful. This tutorial covers the following topics:
1. AI as a threat
2. What is AI?
3. History of AI
4. Machine Learning & Deep Learning examples
5. Dependency on AI
6.Applications of AI
7. AI Course at Edureka - https://goo.gl/VWNeAu
For more information, please write back to us at sales@edureka.co
Call us at IN: 9606058406 / US: 18338555775
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Artificial intelligence
The document discusses artificial intelligence and defines it as the intelligence demonstrated by machines, in particular the ability to solve novel problems, act rationally, and act like humans. It covers the history of AI from its beginnings in 1943 to modern applications of machine learning and neural networks. While some problems like chess and math proofs have been solved, full human-level intelligence remains elusive and computers still cannot understand speech, plan optimally, or learn completely on their own without specific programming.
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What is AI and how it works? What is early history of AI. what are risks and benefits of AI? Current status and future of AI. General perceptions about AI. Achievement of AI. Will AI be more beneficent or more destructive?
Artificial Intelligence
This Presentation will give you an overview about Artificial Intelligence : definition, advantages , disadvantages , benefits , applications .
We hope it to be useful .
Artificial intelligence
Artificial intelligence (AI) is the field of computer science that develops machines or software with human-like intelligence. AI can perform tasks like humans or even better than humans through activities like speech recognition, decision making, and translation. There are two main categories of AI: narrow AI, which is dedicated to a specific task, and strong/general AI, which does not currently exist but is being researched to allow machines to think like humans through their own intelligence and self-awareness. AI has many applications across industries like healthcare, transportation, education, and more. The evolution of AI began in the 1940s and important milestones include the invention of the Turing test in 1950, the development of machine learning in the 1950
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This document discusses artificial intelligence and provides examples of AI tests and applications. It defines AI as the power of a machine to copy and learn from intelligent human behavior. It describes the Turing test, which involves conversations between a human, computer, and interpreter to determine if the computer has human-level intelligence. Examples of AI include CleverBot, autonomous cars, drones, and Watson. The document notes issues with AI like potential job losses but emphasizes that understanding AI is important as it will be integrated into more aspects of life.
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Artificial intelligence (AI) can be defined as a machine's ability to mimic human intelligence through behaviors like learning and problem solving. AI is demonstrated through technologies like robots, autonomous vehicles, digital assistants, and machine learning systems. While AI systems can be programmed to perform tasks, they currently lack the ability to think independently or have social interactions like humans. As AI continues to advance, it will become more integrated into everyday life, so it is important to understand both its capabilities and limitations.
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INTRODUCTION TO (AI)
EXAMPLES OF (AI)
Types of (AI)
RISE OF (AI)
FUTURE OF (AI)
Advantages /Disadvantages OF (AI)
How safe is (AI)
Artificial intelligence
Artificial Intelligence in everyday,Artificial Intelligence capabilities,Artificial Intelligence applications,Artificial Intelligence barriers Artificial Intelligence->Machine Learning->Deep learning,Perceptron, Few questions
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The document provides an overview of artificial intelligence, including its definition, history, approaches, tools for evaluation, applications, and predictions for the future. It discusses topics such as the traits of an intelligent system, methods like cybernetics and symbolic/statistical approaches, tools including search algorithms and neural networks, and applications in fields like medicine, robotics, and web search engines.
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This document provides an introduction to artificial intelligence, including its history, limitations of human intelligence, applications of AI, and advantages and disadvantages of AI. It discusses early attempts at creating artificial life in stories like Frankenstein. It also covers robotics research from Shakey the robot in 1970 to modern robots designed to work in colonies. Applications of AI mentioned include military, entertainment, healthcare, banking, and insurance. Advantages include improved medical diagnostics using expert systems. Disadvantages include potential issues from self-modifying and self-replicating systems. The conclusion discusses the evolving concept of artificial life and intelligence.
ARTIFICIAL INTELLIGENCE
The document provides a history of artificial intelligence, key figures in AI development, and examples of modern AI technologies. It discusses how the idea of AI originated in ancient Greece and how Alan Turing introduced the Turing test in 1937. Examples of modern AI include Sophia, a humanoid robot created by Hanson Robotics, and Rashmi, an Indian humanoid robot that can speak three languages. The document outlines advances in AI and its applications in fields such as military technology, space exploration, healthcare, and more.
Artificial intelligence - An Overview
Artificial intelligence is the science and engineering of making intelligent machines, especially intelligent computer programs. There are four main schools of thought in AI: thinking humanly, thinking rationally, acting humanly, and acting rationally. Popular techniques used in AI include machine learning, deep learning, and natural language processing. The document then discusses the growth of AI and its applications in various domains like healthcare, law, education, and more. It also lists the top companies leading the development of AI like DeepMind, Google, Facebook, Microsoft, and others. Finally, it provides perspectives on the future impact and adoption of AI.
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1. Introduction
2. How AI originated
3. Interesting facts about AI
4. Real-life application of AI
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8. Conclusion
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This presentation will give you a brief about the Artificial intelligence concept with the below-mentioned contents
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- Need for AI
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- History of AI
- Types of AI
- Agents in AI
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- Technologies of AI
- Application of AI
AI Presentation.pptx
This document discusses artificial intelligence and robotics. It begins by defining artificial intelligence as the ability of computers to learn and solve problems autonomously through algorithms. The document then covers the history and goals of AI, including reasoning, knowledge representation, and learning. It provides examples of modern AI applications and envisions further advances in areas like speech and image recognition. The document also defines robotics and discusses how AI relates to robot sensors, effectors, architecture, and information processing. It concludes by addressing myths about AI and arguing that potential dangers depend more on human decisions about machine goals than the technology itself.
Artificial Intelligence Presentation
A presentation on the overview, history, applications, interaction, ethics and facts of Artificial Intelligence (AI) in modern life.
Artificial intelligence
This document provides an overview of artificial intelligence, including its branches and fields of application. It discusses how AI aims to create intelligent machines through approaches like symbolic and statistical AI. The document also outlines key differences between human and artificial intelligence, noting that AI is non-creative, consistent, precise, and able to multitask, while humans are more creative but can contain errors or inconsistencies. It concludes by stating that combining knowledge from different fields including computer science, mathematics, psychology and more will benefit progress in creating intelligent artificial beings.
Artificial inteligence
Contains a detailed Slides on Artificial Intelligence.
What is artificial intelligence?
What are its uses?
advantages?
disadvantages?
Charasteristics?
examples?
functions
and other criterias.
Artificial Intelligence
Artificial intelligence (AI) is the ability of digital computers or robots to perform tasks commonly associated with intelligent beings. The idea of AI has its origins in ancient Greece but the field began in the 1950s. Today, AI is used in applications like IBM's Watson, driverless cars, automated assembly lines, surgical robots, and traffic control systems. The future of AI depends on whether researchers can achieve human-level or superhuman intelligence through techniques like whole brain emulation. Critics argue key challenges remain in replicating general human intelligence and consciousness with technology.
Artificial Intelligence
This document discusses artificial intelligence and its applications. It defines AI as the science and engineering of making intelligent machines. It then lists some pros and cons of AI, such as it helping with laborious tasks but also the risk of robots superseding humans. The document also outlines different types of AI like game playing, speech recognition, computer vision, and expert systems. It notes applications of AI in areas like surgery simulators and fraud detection. The document concludes with some quotes expressing concerns about the development of advanced AI and the need for regulatory oversight to avoid potential risks.
Artificial intelligence
Artificial Intelligence - It's meaning, uses, past and future.
Artificial intelligence is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals including humans
What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginn...
** Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training **
This tutorial on Artificial Intelligence gives you a brief introduction to AI discussing how it can be a threat as well as useful. This tutorial covers the following topics:
1. AI as a threat
2. What is AI?
3. History of AI
4. Machine Learning & Deep Learning examples
5. Dependency on AI
6.Applications of AI
7. AI Course at Edureka - https://goo.gl/VWNeAu
For more information, please write back to us at sales@edureka.co
Call us at IN: 9606058406 / US: 18338555775
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Artificial intelligence
The document discusses artificial intelligence and defines it as the intelligence demonstrated by machines, in particular the ability to solve novel problems, act rationally, and act like humans. It covers the history of AI from its beginnings in 1943 to modern applications of machine learning and neural networks. While some problems like chess and math proofs have been solved, full human-level intelligence remains elusive and computers still cannot understand speech, plan optimally, or learn completely on their own without specific programming.
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What is AI and how it works? What is early history of AI. what are risks and benefits of AI? Current status and future of AI. General perceptions about AI. Achievement of AI. Will AI be more beneficent or more destructive?
Artificial Intelligence
This Presentation will give you an overview about Artificial Intelligence : definition, advantages , disadvantages , benefits , applications .
We hope it to be useful .
Artificial intelligence
Artificial intelligence (AI) is the field of computer science that develops machines or software with human-like intelligence. AI can perform tasks like humans or even better than humans through activities like speech recognition, decision making, and translation. There are two main categories of AI: narrow AI, which is dedicated to a specific task, and strong/general AI, which does not currently exist but is being researched to allow machines to think like humans through their own intelligence and self-awareness. AI has many applications across industries like healthcare, transportation, education, and more. The evolution of AI began in the 1940s and important milestones include the invention of the Turing test in 1950, the development of machine learning in the 1950
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Artificial intelligence (AI) is a branch of computer science that deals with the creation of intelligent agents, which are systems that can reason, learn, and act autonomously. AI research has been highly successful in developing effective techniques for solving a wide range of problems, from game playing to medical diagnosis.
One of the most important advances in AI research has been the development of machine learning algorithms. Machine learning algorithms allow AI systems to learn from data, without being explicitly programmed. This has led to the development of AI systems that can perform tasks such as image recognition, natural language processing, and fraud detection.
AI is also being used to develop new applications in a wide range of fields, including healthcare, finance, and manufacturing. For example, AI is being used to develop new drugs and treatments, to automate financial trading, and to improve the efficiency of manufacturing processes.
As AI continues to develop, it is likely to have a profound impact on our lives. AI systems are already being used to automate many tasks that were previously performed by humans. In the future, AI systems are likely to become even more intelligent and capable, and they could play an even greater role in our lives.
Here are some of the specific ways that AI is being used today:
In healthcare, AI is being used to develop new drugs and treatments, to diagnose diseases, and to provide personalized care to patients.
In finance, AI is being used to automate financial trading, to detect fraud, and to manage risk.
In manufacturing, AI is being used to improve the efficiency of manufacturing processes, to predict demand for products, and to develop new products.
In transportation, AI is being used to develop self-driving cars, to optimize traffic flow, and to improve safety.
In customer service, AI is being used to develop chatbots that can answer customer questions and provide support.
In education, AI is being used to develop personalized learning programs, to provide feedback to students, and to automate administrative tasks.
These are just a few examples of the many ways that AI is being used today. As AI continues to develop, we can expect to see even more innovative and groundbreaking applications of this technology.
Here are some of the challenges that AI researchers are still working to address:
Safety:
AI systems need to be designed to be safe and reliable. This means that they need to be able to handle unexpected situations and to avoid making mistakes that could have serious consequences.
Bias:
AI systems can be biased, reflecting the biases of the data that they are trained on. This can lead to unfair or discriminatory outcomes. AI researchers are working to develop methods for mitigating bias in AI systems.
Explainability:
AI systems can be complex and difficult to understand. This can make it difficult to trust them and to hold them accountable for their decisions. AI researchers are working
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The document discusses artificial intelligence (AI) and provides examples of current AI applications. It defines AI as the development of computer systems that can perform tasks requiring human intelligence, such as visual perception and language translation. Examples of current AI include self-driving cars, robotics, navigation systems, and chatbots. Weak AI is designed for specific tasks while strong AI would think and act like humans, but no systems have achieved strong AI yet. Machine learning is an application of AI that allows systems to learn without programming. The document also discusses the Turing test for measuring intelligence and the potential future of AI in fields like the military, law, business, healthcare, and more.
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AnswerTuring TestCoined by computing pioneer Alan Turing in .pdf
Answer:
Turing Test:
Coined by computing pioneer Alan Turing in 1950, the Turing test was designed to be a
rudimentary way of determining whether or not a computer counts as \"intelligent\".
The test, as Turing designed it, is carried out as a sort of imitation game. On one side of a
computer screen sits a human judge, whose job is to chat to some mysterious interlocutors on the
other side. Most of those interlocutors will be humans; one will be a chatbot, created for the sole
purpose of tricking the judge into thinking that it is the real human.
Turing Test Objections:
1.The Theological Objection:
Substance dualists believe that thinking is a function of a non-material, separately existing,
substance that somehow “combines” with the body to make a person. So the argument might go
making a body can never be sufficient to guarantee the presence of thought: in themselves,
digital computers are no different from any other merely material bodies in being utterly unable
to think. Moreover to introduce the “theological” element it might be further added that, where a
“soul” is suitably combined with a body, this is always the work of the divine creator of the
universe: it is entirely up to God whether or not a particular kind of body is imbued with a
thinking soul.
2.The ‘Heads in the Sand’ Objection:
If there were thinking machines, then various consequences would follow. First, we would lose
the best reasons that we have for thinking that we are superior to everything else in the universe
(since our cherished “reason” would no longer be something that we alone possess). Second, the
possibility that we might be “supplanted” by machines would become a genuine worry: if there
were thinking machines, then very likely there would be machines that could think much better
than we can. Third, the possibility that we might be “dominated” by machines would also
become a genuine worry: if there were thinking machines, who\'s to say that they would not take
over the universe, and either enslave or exterminate us.
3.Arguments from Various Disabilities:
Turing considers a list of things that some people have claimed machines will never be able to
do:
(1) be kind.
(2) be resourceful.
(3) be beautiful.
(4) be friendly.
(5) have initiative.
(6) have a sense of humor.
(7) tell right from wrong.
(8) make mistakes.
(9) fall in love.
(10) enjoy strawberries and cream.
(11) make someone fall in love with one.
(12) learn from experience.
(13) use words properly.
(14) be the subject of one\'s own thoughts.
(15) have as much diversity of behavior as a man; (16) do something really new.
4.Argument from Continuity of the Nervous System:
The human brain and nervous system is not much like a digital computer. In particular, there are
reasons for being skeptical of the claim that the brain is a discrete-state machine. Turing observes
that a small error in the information about the size of a nervous impulse impinging on a neuron
may make a large difference to the size of the o.
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- 1. Artificial Intelligence By Anna Fryling and Kayla Akombi
- 2. What is Artificial Intelligence? Answer: The power of a machine to copy intelligent human behavior. Right???
- 3. Robots at Artemis Are they really intelligent? A robotisonly assmart as its initialprogram. Answer: The power of a machine to copy and learnfrom intelligenthuman behavior.
- 4. Artificial Intelligence VS. Robot AI Robot Programmed to think Programmed to do Social Interaction Low level interaction Learns Only as smart as program
- 5. Artificial Intelligence Tests Turing Test Developed by Alan Turing Involves an interpreter, a human, and a computer. The computer and human have separate conversations with the interpreter. If the interpreter can’t guess which is the computer or if the interpreter gets it wrong then the computer has Artificial Intelligence.
- 6. Artificial Intelligence Tests Involves two tests First test involves an interpreter, a male, and a female. Female pretends to be male Interpreter tries to figure out who is who Second test is similar to turing test Compares both tests Imitation Game
- 7. Artificial Intelligence Tests Turing Test Imitation Game Turing test the computer results to itself and not to humans Imitation game compares the robots results to human results
- 9. Problems AlthoughAI is advancing it can still be problematic.
- 10. AI Controversies Potential job takeover Growing laziness Growing Cost Priority Argument Robot Relationships?
- 11. Why it Matters In the futureAI is going to be everywhere. It is important to know about it and understand it. This is because we may be interacting with it on a day to day basis. We learned at Artemis about the different robots that use AI We also learned when robots need AI and when they don’t.
- 12. Thank You!!