Introduction to AI-3 Flashcards
what is data science domain
Data sciences 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.
example of data sicnece
These websites are being driven by lots and lots of data. If you have
ever used these websites, you would know, the convenience of
comparing the price of a product from multiple vendors at one
place. PriceGrabber, PriceRunner, Junglee, Shopzilla, DealTime are
some examples of price comparison websites. Now a days, price
comparison website can be found in almost every domain such as
technology, hospitality, automobiles, durables, apparels etc.
what is cv
Computer Vision, abbreviated as CV, is a domain of AI that depicts the capability of a machine to get
and analyse visual information and afterwards predict some decisions about it. The entire process
involves image acquiring, screening, analysing, identifying and extracting information. This extensive
processing helps computers to understand any visual content and act on it accordingly.
what do computer vision projects do?
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 teach machines to collect information from pixels.. In computer
vision, Input to machines can be photographs, videos and pictures from thermal or infrared sensors,
indicators and different sources.
how do face lock mechanisms work
Smartphones nowadays come with the feature of face locks in
which the smartphone’s owner can set up his/her face as an
unlocking mechanism for it. The front camera detects and captures
the face and saves its features during initiation. Next time onwards,
whenever the features match, the phone is unlocked.
what is nlp
Natural Language Processing, abbreviated as NLP, is a branch of artificial intelligence that deals with
the interaction between computers and humans using the natural language. Natural language refers
to language that is spoken and written by people, and natural language processing (NLP) attempts to
extract information from the spoken and written word using algorithms.
The ultimate objective of NLP is to read, decipher, understand, and make sense of the human languages
in a manilr that is valuable.
how do phones collect data without us knowing
Remember whenever you download an app and install it, it asks you for several permissions
to access your phone’s data in different ways. If you do not allow the app these permissions, you
normally cannot access it. And to access the app and make use of it, we sometimes don’t even give it
a thought and allow the app to get all the permissions that it wants. Hence every now and then, the
app has the permission to access various sensors which are there in your smartphone and gather data
about you and your surroundings. We forget that the smartphone which we use is a box full of sensors
which are powered all the time while the phone is switched on.
is the collection of data by phone ethical?
We need to understand that the data which is collected by various applications is ethical as the
smartphone users agree to it (by clicking on allow when it asks for permission and by agreeing to all
the terms and conditions). But at the same time if one does not want to share his/her data with
anyone, he/she can opt for alternative applications which are of similar usage and keep your data
private. For example, an alternative to WhatsApp is the Telegram app which does not collect any data
from us. But since WhatsApp is more popular and used by the crowd, people go for it without thinking
twice.
when can a machine be biased
When we talk about a machine, we know that it is artificial and cannot think on its own. It can have
intelligence, but we cannot expect a machine to have any biases of its own. Any bias can transfer from
the developer to the machine while the algorithm is being developed.
define ai bias
a phenomenon in which algorithms give discriminatory or prejudicial results due to built-in biases by the programmer.
define ai privacy
data privacy is related to access to one’s personal data, Without proper data protection, ai can exploit the given data and pose a threat to data security
define ai inclusion
ai algorithms can give socially exclusionary results as it is based on pattern recognition and classification
define ai vulnerability
when ai used for negative and evil purposes. It can be misused in the hands of terrorists and cybercriminals
define black box
most ai machines, especially the ones based on neural networks are unable to expain the reasoning that they use to arrive at a particular decision or solution. Even creators are unable to explain the reasoning of their machines.
define ai singularity
AI super intelligence leads to advanced systems capable of anticipating all our moves and defending itself.
