Archive · 16 Jun 2025
AI in Indian Governance Raises Concerns Over Social Bias
India is starting to use AI to help with things like police work and courts.
But, because not everyone uses the internet equally, the AI might not be fair to everyone.
This is because the information that the AI learns from doesn't include everyone.
For example, women and people in rural areas are online less.
So, the AI might make unfair decisions, especially for groups already treated unfairly.
To fix this, we need to make sure AI is fair and uses data that represents everyone.
India's use of AI in governance, including CCTNS and ICJS, is expanding rapidly.
AI datasets may reflect existing biases, underrepresenting women, Dalits, Adivasis, Muslims, and rural populations.
Marginalized groups are disproportionately represented in the criminal justice system, raising concerns about AI bias.
Globally, algorithms like COMPAS have shown bias, reinforcing discrimination in sentencing.
Experts are concerned about the potential for AI to replicate existing social hierarchies in India.
- Who
- Experts, marginalized communities, and government entities utilizing AI.
- What
- Concerns about AI potentially reinforcing existing social inequalities in India's criminal justice and governance systems.
- When
- Ongoing, with rapid adoption of AI technologies in governance and justice.
- Where
- India, with global examples from the US.
- Why
- To highlight the risks of biased AI and the need for ethical frameworks.
Concerns Regarding AI Deployment
Arguments for AI Deployment
Efficiency vs Equity
Concerns Regarding AI Deployment
Emphasize potential for AI to perpetuate discrimination.
Arguments for AI Deployment
Focus on AI's capacity to enhance efficiency and effectiveness in governance.
Ethical Considerations
Concerns Regarding AI Deployment
Advocate for the incorporation of diverse voices and transparent data practices to mitigate bias.
Arguments for AI Deployment
Highlight the utility of AI tools, prioritizing deployment over thorough investigation of ethical concerns.
- AI Systems in Use
- CCTNS, ICJS
- Dataset Issue
- Underrepresentation of women, Dalits, Adivasis, Muslims, and rural populations
- Digital Divide Example
- Women use internet 33% less than men
- Algorithm Example
- COMPAS
