
India's universities have developed strong technical capacity and embrace interdisciplinary learning under NEP 2020, but ethics is frequently treated as a checkbox elective rather than core decision-making.
AI failures often stem from social roots, such as language models performing poorly in regional dialects or credit algorithms unfairly denying loans to farmers based on salaried metrics.
Embedding ethics into technical project briefs, utilizing case studies, and leveraging India's diversity for inclusive AI problem-solving can bridge the ethics gap.