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• Lack of explainability: Some AI models, especially complex ones, lack transparency in their decision-making, thus,
making it difficult to understand how models arrive at the outputs.
• Data privacy and security: The extensive collection and use of data for AI development raise concerns about data
privacy and potential security vulnerabilities.
• Bias in data: AI systems can inherit biases present in the training data, leading to biased outcomes.
At a Glance
• Artificial Intelligence is a branch of computer science by which we can create intelligent machines which can
behave like a human, think like humans, and able to make decisions.
• There are three types of AI—Artificial Narrow Intelligence, Artificial General Intelligence, Artificial Super
Intelligence
• All AI-based methods built till date fall in the category of ANI.
• Data is a collection of raw facts and figures. Data can be structured, semi-structured, and unstructured.
• Machine learning is an application of artificial intelligence that provides systems with the ability to
automatically learn and improve from experience without being explicitly programmed.
• There are three types of machine leaning—supervised, unsupervised, and reinforcement.
• Deep learning is a subset of ML. In DL, models are trained by using a large set of labelled data and neural
network architectures that contain many layers.
• Cognitive computing is smart decision support system, using better data and better algorithms to
understand and simulate human behaviour.
• Data science involves studying data to extract valuable insights for businesses.
• Natural Language Processing (NLP), is an area of artificial intelligence that employs natural language for
interaction between computers and humans.
• Computer vision is a branch of AI that involves extracting information from digital images such as videos
and photographs, analysing them, and understanding their content.
Exercise
Solved Questions
SECTION A (Objective Type Questions)
uiz
A. Tick ( ) the correct option.
1. In , a machine is trained with a huge amount of data, which helps it to train itself on the data.
a. Supervised Learning b. Deep Learning
c. Classification d. Unsupervised Learning
2. Cognitive systems include self-learning technologies that use , and NLP to understand how the
human brain works.
a. data warehousing b. data mining
c. data storage d. data collection
130 Touchpad Artificial Intelligence (Ver. 3.0)-XI

