Introduction to AI Flashcards
What is intelligence? List the features of Intelligence.
Intelligence is the ability to perceive or infer information and to retain it as knowledge to be applied towards adaptive behaviors within an environment or context. Intelligence involves various mental abilities, like logic, reasoning, problem solving and planning. Features:
1. Learning from experience
2. Identifying problems
3. Problem solving
4. Ability to make accurate decisions
5. Ability to prove outcomes
6. Ability to think logically
7. Ability to learn and improve
List the different types of intelligence.
- Naturalist Intelligence
- Intrapersonal Intelligence
- Interpersonal Intelligence
- Kinaesthetic Intelligence
- Spatial Visual Intelligence
- Linguistic Intelligence
- Existential Intelligence
- Mathematical Logic Intelligence
- Musical Intelligence
What is Mathematical Logic Intelligence?
A person’s ability to regulate, measure and understand numerical symbols, abstraction and logic.
What is linguistic intelligence?
Language processing skills both in terms of understanding or implementation in writing or verbally.
What is spatial visual intelligence?
It is defined as the ability to perceive the visual world and to understand the relationship of one object to another.
What is Musical intelligence?
As the name suggests, this intelligence is about a person’s ability to recognize and create sounds, rhythms and sound patterns.
What is Kinaesthetic Intelligence?
Ability that is related to how a person uses his limbs in a skilled manner.
What is Intrapersonal intelligence?
Describes how high the level of self-awareness someone has is. Starting from realizing his weakness, strength and his own feelings.
What is existential intelligence?
An additional category of intelligence relating to religious and spiritual awareness.
What is Naturalist Intelligence?
An additional category of intelligence relating to ability to process information on the environment around us.
What is Interpersonal Intelligence?
Interpersonal intelligence is the ability to communicate with others by understanding other person’s feelings and the influence of the person.
How do you make decisions?
The basis of decision making depends on the availability of information and how we experience and understand it. Information includes our past experience, intuition, knowledge and self-awareness. We can’t make good decisions without information because then we would have to deal with unknown factors and face uncertainty, which leads us to make wild guesses, flipping coins, or rolling dice. Having knowledge, experience or insights given a certain situation, helps us visualize what the outcomes could be and how we can achieve/avoid those outcomes.
What are some applications of AI?
- Google Search Engine
- Alexa, Google Assistant, Cortana, Siri.
- Google Maps
- Recommendations on netflix, youtube, spotify, amazon, etc.
What is AI?
Any machine that has been trained with data and can make decisions/predictions on its own and learns from its experience and mistakes can be termed as AI.
A fully automatic washing machine can work on its own, but it requires human intervention to select the parameters of washing and do the necessary preparations for it to function correctly before each wash which makes it an example of automation, not AI.
When a machine possesses the ability to mimic human traits, i.e., make decisions, predict the future, learn and improve on its own, it is said to be artificially intelligent.
Why is training with information/data important in artificially intelligent devices?
Training AI with information helps it learn patterns, make accurate decisions, and adapt to new data. It improves efficiency, reduces errors, and enhances automation in real-world tasks. Continuous training ensures AI evolves and provides better results over time. Without training, AI would be ineffective and unreliable.
What is Machine Learning?
It is a subset of artificial intelligence which enables machines to improve at tasks with experience. The intention of machine learning is to enable machines to learn by themselves using provided data and make accurate decisions/predictions.
What is deep learning?
It enables software to train itself to perform tasks with vast amounts of data. The machine is trained with huge amounts of data which helps it in training itself around the data. Such machines are intelligent enough to develop algorithms for themselves. Deep learning is the most advanced form of AI, followed by machine learning which is intermediately intelligent and artificial intelligence covers all concepts and algorithms which, in some way or another, mimic human intelligence. There a lot of applications of AI which can be termed as ML out of which few can be labelled as DL. Therefore, ML and DL are part of AI but not everything that is ML will be DL.
What are the domains of AI?
With respect to the type of data fed into the AI model, AI models can be broadly categorized into three domains:
- Computer Vision
- Data Science
- Natural Language Processing
What is Data Science?
Data science is a domain of AI related to data systems and processes. In which the system collects numerous data, maintains data sets and derives meaning/sense out of them. The information extracted through data science can be used to make a decision about it.
Eg: Price comparison websites
What is Computer Vision?
Computer vision, abbreviated as CV, is the intelligence which enables machines to see through images or visual data, analyze and process them on the basis of algorithms and methods in order to analyze actual phenomena with images. This entire process includes image acquiring, screening, analyzing, identifying and extracting information. This extensive processing allows computers to understand any visual content and act on it accordingly. In computer vision, input to machines can be photographs, videos and pictures from thermal or infrared sensors, indicators and different sources. Computer vision related projects translate digital visual data into descriptions. This data is then turned into computer-readable language to aid the decision-making process. The main objective of this domain of AI is to collect information from pixels. Eg: Self-driving cars, Face-lock in smartphones
What is Natural Language Processing?
Natural Language Processing, abbreviated as NLP, is a branch of artificial intelligence which deals with interaction between computers and humans using natural language. Natural language refers to language that is written or spoken by people and natural language processing attempts to extract information from spoken and written word using algorithm. The ultimate objective of NLP is to read, decipher, understand and make sense of human language in a manner that is valuable. Eg: Email filters, Smart Assistants
Define AI ethics.
AI ethics refers to the moral principles and guidelines that govern the development, deployment and use of artificial intelligence systems. It focuses on ensuring that AI systems are designed and used responsibly, fairly, and transparently while minimizing harm and promoting societal well-being.
Define AI Bias.
AI Bias refers to systematic and unfair discrimination in AI systems, where certain groups or individuals are treated unfairly due to flaws in the data, algorithms or decision-making process. This bias can lead to inaccurate, unjust, or harmful outcomes, reinforcing existing inequalities in the society. Various other biases are also found in various systems which are not thought up by the machine but transferred from the developer intentionally or unintentionally.
What is AI Access?
Since Artificial Intelligence is still a budding technology, not everyone has the opportunity to access it. The people who can afford AI enabled devices make the most of it while others who cannot are left behind. Because of this, a gap has emerged between the two classes of people and this gap widens with the rapid advancement of technology.
How does AI create unemployment?
Al is making people’s lives easier. Most of the things nowadays are done in just a few clicks. In no time Al will manage to be able to do all the laborious tasks which we humans have been doing since long. Maybe in the coming years, Al enabled machines will replace all the people who work as labourers. This may start an era of mass unemployment where people having little or no skills may be left without jobs and others who keep up with their skills according to what is required, will flourish.
This brings us to a crossroads. On one hand where Al is advancing and improving the lives of people by working for them and doing some of their tasks, the other hand points towards the lives of people who are dependent on laborious jobs and are not skilled to do anything else. Here, we need to understand that to overcome such an issue, one needs to be open to changes. Technology is advancing with time. Humans need to make sure they are one step ahead and understand this technology with its pros and cons.
Should ai replace laborious jobs? Is there an alternative for mass unemployment?
AI can replace laborious jobs, especially those that are repetitive or dangerous, leading to greater efficiency and safety. However, this shift could result in mass unemployment. Alternatives include reskilling workers to manage AI or transition to new industries, providing universal basic income (UBI) to ensure financial stability, and creating human-centered jobs that require emotional intelligence and creativity. The key is to ensure that society adapts to these changes in a way that supports both individuals and communities.
Should AI not replace laborious jobs? Will the lives of people improve if they keep on being unskilled?
AI replacing laborious jobs could improve lives by reducing dangerous or monotonous work, allowing people to focus on more meaningful tasks. However, if people remain unskilled, their lives could become more challenging as they may struggle to adapt to an evolving job market. For society to thrive, it’s essential to provide opportunities for reskilling, so people can develop new skills and remain relevant in the workforce, ensuring long-term improvement in their lives.
What is the Turing test?
The Turing test is a deceptively simple method of determining whether a machine can demonstrate human intelligence. If a machine can engage in a conversation with a human being without being detected as a machine, it has demonstrated human intelligence.
