The impact is particularly pronounced for marginalized communities that already face systemic challenges. For instance, a job recommendation algorithm might inadvertently favor candidates from privileged socioeconomic backgrounds, exacerbating inequality in employment opportunities.
Criminal Justice System:
In the context of the criminal justice system, AI's involvement in predictive policing has raised concerns about reinforcing racial biases. Algorithms trained on historical crime india database data can perpetuate biases, leading to over-policing in certain communities. Moreover, studies have shown disparities in sentencing decisions influenced by AI, with minority individuals often receiving harsher outcomes. Addressing these issues requires a comprehensive examination of the data and algorithms to ensure fair treatment for all.