What is Artificial Intelligence?
A machine is artificially intelligent when it can accomplish tasks by itself - collect data, understand it, analyse it, learn from it, and improve it.
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 have artificial intelligence.
What do you understand by Artificial ?
Artificial is something which is man-made, which does not occur naturally.
What do you understand by Ethics?
The concerns related to good and ideal behaviour or manners and moral principles are known as ethics.
In other words, ethics refers to what is right and what is wrong then teaches moral conduct.
What are the moral issues related to self-driving cars?
Self-driving cars are totally under the control of AI.
For example, an animal is crossing your way suddenly hit by a self-driving car. The animal got hurt.
Who is responsible for this accident?
The following are some ethical concerns:
The developer of the car goes through all dilemmas while developing the car’s algorithm.
The morality of the developer gets transferred into the machine as what according to him/her is the right priority and hence would be the selection made by the machine.
Every person has their own perspective and he/she takes the decision according to their moralities.
Why ethical practices should be followed while developing solutions using AI?
Ethical practices are very important while developing solutions using AI because the solution is made to solve the problem or reduce the complexity of the problem.
If ethical practices are not followed properly then the solution might create more problems and that leads to more problems.
Even unethical practices increase risk and damage to the surroundings. Which is not a good cause for the problem solution.
What are the concerns related to the use of AI to control defence equipment?
AI-controlled nuclear missiles capable of making independent decisions or AI-equipped armed military drones.
Another concern is the human cost of the adoption of AI technology.
What do you understand by data privacy?
Data plays a vital role in AI systems. The existence of an AI system is impossible without data.
Data management like storage, usage, collection and maintaining data is one important concern.
When the user works on the system, the user is sharing data. This data needs permission to access the data. This consent is known as data privacy.
Where do we collect data from?
There are various platforms and sources we collect data from, some of them are:
Customers Feed Form
Loyalty Programs
Surveys
Service Agreements
Various contests or competition
Records of online transactions
Web browser cookies
Digital Footprints
Social Media
Keyword trackers
Why do need to collect data?
We need to collect data for the following reasons:
To store and analyse data
To know the potential of customers and get tangible returns
It helps for future marketing and increases engagement
It helps in retargeting efforts and increases database
It is helpful for making an overall strategy and improving the products
It is helpful in obtaining feedback from customer
“Smartphones are major sources of data nowadays.” Justify this statement.
Smartphones becomes an integral part of human lives nowadays.
Most of us use smartphones more than we interact with people around us.
This is because smartphones provide a lot of facilities and features that make human life easy and comfortable.
With online shopping, ordering food becomes very easy with the help of small box loaded with technology.
Moreover, now smartphones provide recommendations and notifications according to users’ choices.
Priya and Rani are friends. Rani wants to buy a new purse. They discussed on WhatsApp about purchasing a new purse online. After discussion, what will happen to Rani’s phone? Why?
After the discussion, the smartphone starts showing the recommendations to buy a new purse.
The shopping websites show notifications related to branded purses.
They show and urge rani to buy a new purse.
How does the smartphone get to know about the discussions and thoughts that the mobile user has?
As a mobile user when people download and install apps from the play store, it asks a few questions and permission’s access the phone’s data in different ways.
Once the user allows it the AI system of a particular app, starts working on the data collection.
It understands the behaviour, and data and recommends the user product or services accordingly.
Majorly, all the virtual assistants have a female voice. It is only now that some companies have understood this bias and have started giving options for male voices but since the virtual assistants came into practice, female voices are always preferred for them over any other voice. What are some reasons for this?
As per the general observation, virtual assistants are developed for assistance.
The female voice is more soothing compared to a male voice.
In addition to this, Virtual Assistants should be more user-friendly.
One reason behind this the company makes the user listen to their voice. So they thought female voice will be better than male.
Aman has searched on Google for salons, the first few searches he found mostly salons for female salons. This is based on the assumption that if a person is searching for a salon, in all probability it would be a female. Do you think this is a bias? If yes, then is it a Negative bias or a Positive one?
It is a negative bias.
The reason for this is generally the algorithm understands that women are visiting salons more than men.
What is the permission asked by the app before using it?
The following permissions are required to be asked by the app before using it:
Contacts
Location
Camera
Storage
Photos
Notes
What are the components of a good AI Policy?
Transparent Policy – Clear guidelines and purposes for users
Right of data collection – The data collected by the AI system must be right to the data
Freedom of leaving the system – The freedom to leave the system anytime should be given to the user
Design – The design should be done in such a way that data collection and purpose should be limited
Data deletion – Data stored by users should be deleted when they leave the system
AI increased the gap between two classes of people. Which are these two classes of people?
AI is an emerging technology as well as budding technology.
Not everyone has the opportunity to access it.
The two classes of people are:
People who can afford AI-enabled devices make the most of it
The people who can’t afford Ai-enabled devices left behind
“In the coming years, AI-enabled machines will replace all the people who work as labourers.” Justify this statement.
As per one thought, AI makes our life easier.
People want most things in just one click and some platforms provide that too.
So AI enables machines or devices will do the task with just a click.
Where for the same task human being takes more time compared to AI machines.
So people who have little or no skills may be left out without jobs and AI takes charge.
Should AI not replace laborious jobs? Will the lives of people improve if they keep on being unskilled?
AI should not replace all laborious jobs. As if so, there will be no source of income for the daily wage workers.
Although lives of people do not improve if they keep on being unskilled. Unskilled people have difficulties in growth and personal development.
Unskilled employees are also obstacles to the organization’s growth as well. So employees need to be trained in new skills on regular basis.
Why AI models are biased in one or another way? Explain it.
As we are humans, have our own biases towards things.
Biases are not negative all the time.
Sometimes it is required to have a bias to control a situation and things working.
Similarly, machines can have intelligence but not their own bias.
Any bias can transfer from the developer to the machine through the algorithm.
So they are working according to the algorithm. So they are biased in one or another way.
Is it ethical that children to use technology to help to finish their study-related work?
The use of technology by children is making them smart and techno-savy.
At the same time, they can misuse that and learn what is not important to them.
Sometimes technology kills their creativity and they don’t think on their own.
Hence at one side technology can be used for learning or doing work smartly but not all the time.