P ag e |1

AI ETHICS

ETHICS
An Ethics are moral principles concerned with what is good for individuals andsociety.
An Ethics are the moral principles that govern a person's behaviour or the conducting of
an activity.
"Ethics are the moral responsibility of anyone or anything that can impactothers."

Why ethics are important in life?

An Ethics provides us some moral rules to make better lives on a daily basis. It helps us
to make decisions that create positive impacts and steering us away from unjust outcomes.
Ethics guides us to make the world a better place through the choices we make. Ethics
should be applies on every activities we are doing.

AI ETHICS
AI Ethics is a system of moral principles and
techniques intended to inform the development and
responsible use of artificial intelligence technology. AI
Ethics refers to the basic principles for AI system
design that use the good code of conduct and produces
the results.
In other words, Ethics means what is right and
Unethical means what is wrong.

Why Ethics in AI are important?

As AI has gained so much power that can change the lives of people. We need to have
ethics into a certain piece of AI, is being developed. We need to monitor/check/police the
outcomes of that specific piece of technology in order to fully understand its behaviour
and make sure that it's not violating our (human) moral principles.

ETHICAL ISSUES AROUND AI

As AI has gained so much power that can change the lives of people. We need to have
ethics into a certain piece of AI, is being developed. We need to monitor/check/policethe
outcomes of that specific piece of technology in order to fully understand its behavior and
make sure that it's not violating our (human) moral principles.
Ethical issues during AI Setup
• Bias and Fairness: There may be a chance of adding biasness to the AI-
enabled machines during developing, either by the developers or by the training data.
For example: AI system designed for recruitment must not be biased against gender,
colour, religion etc. It should be free from all such things and be totally fair.

distancediary.com#jyoti 1
 P ag e |2

• Accountability: A question is raised in everyone's mind that Who would be

accountable for making mistakes by the AI system?
For example: If an autonomous Tesla car hits someone, then Who was blamed for it -
that car itself, a person inside the car or the developers/testers of the car?
• Transparency: Transparency means everything that AI performs is
explainable. It must explain all the information and knowledge that can be used by AI
system. Such information includes what data is used, why that data is used, how that
data is used, which models are used etc.

ETHICAL ISSUES OF AI ACTIONS

• Safety: The implementation and practices for AI technology must be safe and ensure the
well-being of individual persons as well as public welfare. It must hold the trust of users
through the responsible use of technology.
• Human AI Interaction: With the evolution of AI, Humanoid robots are much more similar
to humans or other living beings in appearance and actions. Therefore, there may be a
chance to violate the human dignity in any way. Thus, AI must not deceive humans (or
any other living beings).

• Cyber Security and Malicious use: Nowadays, AI tools can be used to determine the
possible threats to cyber security. AI uses big datasets to determine futuristic threats
and to test the system's vulnerabilities (weak holes).
But you just think that if such AI tools become available to the wrong hands (like
hackers/terrorists), they will destroy the whole security. Thus, it is the ethical responsibility
of an organization to have human control over AI usage so that it will not be available to
hackers for malicious use.
• Trust, Privacy, and Control: With the rapid development of AI technology, "Deepfake"
technology makes what once was reliable evidence into unreliableevidence through digital
photos, sound recordings, videos, etc.
Deepfake is a technology that can generate fake digital photos, sound recordings,
and videos, which look just as original as possible. Thus, it is the ethical responsibility
of the creator and user of AI to ensure that these are not misused.
ETHICAL ISSUES ON AI IMPACT
• Automation and Impact over jobs: Use of AI-enabled machines like robots
increased automation in each and every field and replacing humans too. Therefore, it
impacts over jobs.
Actually, the use of AI does not mean that the jobs are reduced, it means the nature of
jobs is changing. Thus, it is the ethical responsibility of an organisation to upgrade the
skillsets of their workers to meet the AI futuristic jobs.
Also, it is the ethical responsibility of our government to bring appropriate changes in
distancediary.com#jyoti 2
 P ag e |3

the education, trainings and opportunities for the people.

ETHICAL ISSUES FOR AI FUTURE

• Human Right vs. Use of AI: In many cases, use of AI becomes a threat on humanrights.
For example: People share every moment of their lives through social media platform, AI
can analyse all these data to make available to the government but also to potential
advertisers. This become a huge risk to data privacy and protection i.e. Violation of human
right to privacy.

Other such cases like - AI can analyse huge symptoms datasets of a person and can predict
possible future ailments and disease. Using such analyses, a health insurancecompanies
may deny insurance to people i.e. Violation of human right to affordable healthcare.

What is an AI Bias?
AI Bias means favouring someone or something. When Bias Data
is fed to an AI Machine while creating the Model then the machine
will also be biased.

AI Bias is an anomaly in the result produced through AI based programs and algorithms
because of prejudiced assumptions made during the algorithm development process or
prejudices in the training data.

For example :-
=> Most of virtual assistants have a female voice and not a male voice.
=> Security systems are trained, based on an individuals race of gender rather thantheir
actions, movements to commit the crime ,etc.
=> In US, a healthcare algorithm was used to decide extra medical facilities for people,
AI produced faulty results and favoured white patients over black patients.

Training data in AI
=> Data plays an important role in an AI model's functioning. AI models uses training
data to learn and perform its task with high accuracy. Traing data may be biased during
collection process that will produced biased results.
Training Data is a huge collection of labelled information that is used to build anAI
model.
For example: Let us consider that a person Mr. X likes a color 'Red' very much. Now,if
another dataset stores that 'Red' colour is preferred for aggressive nature, then without
much representation, this dataset may link that person with aggressive nature. So this is
distancediary.com#jyoti 3
 P ag e |4

an example of AI bias.

What is AI Access?
AI Access explain the gap in society, where only upper-class people who can afford AI-
enabled devices have the opportunity to access it and people below the poverty line don’t
have access to it.

Because of this, a gap has emerged between these two classes of people and it gets
widened with the rapid advancement of technology.

The Government has to bring balance in the society by providing infrastructure to common
students/people so that everyone will get a chance to access emerging technologies like
AI.

AI access means making AI more accessible or available to all.

WHAT IS DATA PRIVACY?

Data plays an important role in every aspect of AI. Data Privacy ensures that thedata
shared by customers/users is only used for its intended purpose. It is also known as
Information Privacy.

Data privacy is defined as one able to control how our digital data is being stored,
modified, and exchanged between different parties.
An applications required a lot of information which is collected from their users like
browsing history, geographical locations, contact list, hobbies, preferences etc. These
information can be used for the interest of both i.e. users and owner of application, as it
may help in providing customized recommendations, notifications and for effective user's
experiences of an applications.
Whenever we download and install an app on our smartphone or computer, it asks some
permissions to allow for using the app. For example: When we use the app first
time, then we have to allow some permissions like allowing contact list, photo gallery,
locations etc. Organizations use data protection policy to keep the user's data safe.

distancediary.com#jyoti 4