BharatNotes What is AI Ethics and Bias?
AI ethics is applied ethics for machines: it asks how artificial intelligence ought to be built and used so that it respects human dignity, rights and welfare. Its core values are fairness, transparency, accountability, explainability, privacy, safety and human oversight. AI bias is the failure mode these values guard against — when a system produces systematically unfair outcomes, usually because it learned from skewed historical data or flawed design assumptions and then amplified them at scale.
How bias creeps in
Bias is rarely deliberate; it enters through the AI pipeline.
| Stage | Source of bias | Illustrative example |
|---|---|---|
| Data | Unrepresentative or historically prejudiced training data | Hiring tools that learned past male-dominated recruitment patterns penalised female applicants |
| Algorithm | Proxy variables that correlate with protected traits | Recidivism-scoring tools flagged some minority defendants as higher-risk more often |
| Deployment | Use in contexts the model was never validated for | Facial recognition with higher error rates for darker-skinned faces, raising wrongful-identification risk |
Because the models are opaque ("black box"), those affected often cannot see why a decision was made — undermining accountability and the right to explanation.
The ethical dilemmas
- Accountability gap — if an autonomous system causes harm, who is responsible: the coder, the deployer, or the data?
- Fairness vs accuracy — optimising for overall accuracy can still disadvantage minorities.
- Autonomy vs efficiency — automating welfare or judicial decisions may speed delivery but remove human judgement and empathy.
- Privacy and surveillance — mass data collection and facial recognition threaten the right to privacy.
Governance frameworks (current status)
- India — NITI Aayog "Responsible AI for All": Part 1, Principles for Responsible AI (Feb 2021) and Part 2, Operationalising Principles (Aug 2021) set ethics principles for AI design and deployment.
- IndiaAI Mission: approved by the Union Cabinet in March 2024 with an outlay of about Rs 10,372 crore over five years, including a dedicated Safe and Trusted AI pillar for responsible-AI tools and governance frameworks.
- Digital Personal Data Protection Act, 2023 (gazetted 11 Aug 2023; DPDP Rules notified Nov 2025) provides data-protection guardrails relevant to AI.
- UNESCO Recommendation on the Ethics of AI: adopted 23 Nov 2021 by 193 member states — the first global standard-setting instrument on AI ethics.
- EU AI Act (Regulation 2024/1689): entered into force 1 Aug 2024; a risk-based law whose ban on the riskiest practices applied from Feb 2025 — the world's first comprehensive AI law.
UPSC angle
Frame answers around the values triad of fairness–transparency–accountability, add a real case study, and balance an innovation argument against a regulation argument. Note the cross-paper spread: GS4 (ethical reasoning), GS2 (rights, governance), GS3 (technology, security) and Essay. A strong conclusion advocates "human-in-the-loop" design and ethics-by-design rather than a binary ban-or-allow stance.
