Evidences of Should the advancement of artificial intelligence be a cause for concern?

 AI in Hiring (IT & BFSI Sectors)

• Context: Tools like HireVue and Pymetrics are used to screen candidates.

• Concern: Western-centric datasets may misjudge Indian cultural cues.

• Impact: Risk of biased hiring and exclusion.

 IndiaAI Mission

• Context: ₹2,000 crore allocated to build foundational AI models.

• Concern: Only 67 proposals received so far indicates slow uptake.

• Impact: Talent exists, but infrastructure and ethical governance lag.

 AI in Surveillance

• Context: Delhi and Mumbai are exploring AI for crowd control and traffic.

• Concern: Lack of data protection laws makes citizens vulnerable.

• Impact: Potential misuse by law enforcement without accountability.

 AI in Healthcare (Qure.ai, Niramai)

• Context: Used for early diagnosis of TB and breast cancer.

• Concern: Accuracy depends on data quality. Rural datasets are often missing.

• Impact: Risk of misdiagnosis or exclusion of underserved populations.

 AI Talent Drain

• Context: Indian engineers contribute to global AI firms but few stay local.

• Concern: Brain drain limits domestic innovation.

• Impact: India risks being a backend service provider, not a global leader.