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industries. While businesses, significantly affect individuals’ ethical questions raised by the
governments, and people have right to privacy. People may be possible exploitation of personal
benefited greatly from this, there exposed to having their personal data gathered by AI systems.
are rising worries about the possible information acquired without their Targeted advertising, identity theft,
effects on privacy rights. A large knowledge or consent if sufficient cyberbullying, and other forms
amount of data may be gathered regulation and safeguards aren’t in of exploitation can result from
by AI systems from a variety of place, which could result in privacy improper access to or exposure to
sources, including social media, violations. To ensure that data this sensitive information.
online activity, and public records, collection and monitoring activities
to mention a few. are open, secure, and comply with Beyond AI decision-making, the
privacy regulations, governments, problem of bias and discrimination
Facial recognition software is and enterprises must adopt also affects the creation and
a tool with AI capabilities that is appropriate legislation and privacy application of AI systems. Systems
used to gather data. By identifying policies. that do not accurately reflect
people based on information the needs of all possible users
Ethical Implications of AI: Ethical
gathered from a camera or video “ may be created by developers
footage, the device uses face implications of AI about privacy, who unintentionally introduce
recognition algorithms and could taking into account concerns like biases based on their values or
jeopardize their privacy. Concerns algorithmic bias, discrimination, preconceptions or who fail to
regarding the possibility of abuse and the potential exploitation of involve stakeholders from diverse
and privacy rights violations personal data. backgrounds in the development
are raised by the process.
frequent usage Artificial intelligence (AI) has the
of this potential to completely change the A crucial factor should
way we live; it also raises serious be ensuring
privacy-related ethical
technology
for security,
marketing, and law ethical
enforcement purposes. procedures in the creation
and application of AI systems.
Location tracking is a further To stop bias or discrimination
method of data collecting made from persisting, an ethical
possible by AI. This technology is framework must direct the creation
widely used in mobile applications and application of AI systems.
to provide consumers with tailored issues. This can be done by taking steps
experiences like weather updates, Numerous of these issues are like conducting routine system
restaurant recommendations, and connected to discrimination, bias, audits, making data collecting
directions. However, the frequent and the improper use of personal and algorithmic processes more
sharing of the gathered personal information in algorithms. transparent, and involving a
location data with outside parties wide range of stakeholders in the
raises questions regarding abuse Algorithmic bias refers to the development process.
and illegal access. practice of treating some persons
or groups in an algorithmic Results showed that to ensure
To provide targeted advertisements decision-making process unfairly that AI systems do not perpetuate
or enhance user experiences, or unequally. To function properly, bias or discrimination or misuse
internet monitoring is a prevalent AI systems rely on data, and if that of personal data, it is important
practice that involves observing data has inherent biases, such to address the complex ethical
consumers’ online actions. Although biases may be propagated in the issues surrounding AI and privacy.
this method is used to increase decision-making process. This To represent the interests of all
personalization, it creates special may result in prejudice towards users and safeguard their privacy,
issues about individuals’ right to certain people or groups based on it is critical to set ethical rules for
privacy. attributes like race, gender, religion, designing and implementing AI
or ethnicity. systems. Regular audits should also
AI-enabled data-collecting tactics be carried out to spot any potential
that are more widespread may Furthermore, there are serious biases.
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ICT NEPAL (Issue-3, 2023)
