1 Privacy and Data Protection
- ICT and AI systems collect large volumes of personal data (biometric, health,
financial).
- Risk of data
misuse, leakage, or unauthorised surveillance.
Example: Aadhaar-linked databases, facial recognition systems.
Ethical concern: Violation of Right to Privacy (Article 21).
2.
Surveillance and Loss of Civil Liberties
- AI-enabled surveillance may lead to mass monitoring.
- Citizens may feel constantly watched, affecting freedom of expression and dissent.
Example: CCTV + facial recognition in public spaces.
Ethical dilemma: Security vs Liberty
3
Algorithmic Bias and Discrimination
- AI systems learn from historical data which may be biased.
- Can result in unfair
targeting or exclusion of certain groups.
Example: AI wrongly flagging welfare beneficiaries or crime
suspects.
Ethical issue: Violation of justice,
equality, and fairness.
4
Lack of Transparency (Black Box Problem)
- AI decisions are often opaque and non-explainable.
- Citizens may not understand why a decision was taken.
Example: Rejection of loan, welfare benefit, or service delivery by
algorithm.
Ethical concern: Absence of reasoned
decision-making.
5.
Accountability Gap
- Difficult to fix responsibility when AI systems cause
harm.
- Who is responsible?
- Programmer?
- Vendor?
- Government official?
Ethical issue: Dilution of public accountability.
6.
Digital Divide and Exclusion
- Heavy reliance on ICT excludes:
- Elderly
- Poor
- Rural population
- Digitally illiterate citizens
Example: Online-only service delivery.
Ethical concern: Equity and
inclusiveness.
7.
Dehumanisation of Governance
- Excessive automation reduces human empathy and discretion.
- Ethical and contextual judgement may be ignored.
Example: Automated welfare decisions without human appeal.
Ethical issue: Governance becoming mechanical rather than humane.
8.
Data Security and Cyber Risks
- Government databases are vulnerable to:
- Hacking
- Ransomware
- Cyber espionage
Ethical concern: Breach of public
trust and national security.
9.
Over-reliance on Technology
- Blind faith in AI outputs may discourage critical thinking by officials.
- Errors may go unquestioned.
10.
Consent and Informed Use
- Citizens may not know:
- How their data is used
- For what purpose
- For how long
Ethical concern: Violation of informed
consent.
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