Powering the Future of Al with Governance, Intent, and Human Oversight

Nishant Rathi, Co-Founder of NeoSOFT, emphasizes that success will depend on thoughtful implementation, cultural readiness, and a clear focus on long-term impact.

- Nishant Rathi

IN TODAY’S hypercompetitive landscape, organizations everywhere are betting large on artificial intelligence (AI) to give them a transformative edge. Even as innovation accelerates, companies recognize the crucial role of ethics and regulation in AI development, with 88% of C-level executives reporting their organizations as taking measures to communicate the ethical use of Al to their workforces.

Why are ethics and regulation so important in the race to put Al innovations to market?

New AI innovations introduce new ethical concerns

Advances in AI have meant that we have moved from building systems that make decisions based on human-defined rules to automated rule definition, content creation and decisionmaking by complex models trained on huge data sets. An unconstrained AI system will prioritize optimizing their inputs according to the defined objectives, often without regard for broader societal impacts or ethical considerations, eroding public trust.

Despite advancements, AI today continues to encounter issues including bias and hallucinations, which have resulted in some controversial outcomes. For instance, a 2025 report by MeitY highlights cases of biased hiring algorithms and facial recognition errors in India, emphasizing the need for diverse and transparent training data. Addressing these issues is crucial to ensure AI systems are fair, reliable, and beneficial for all users.

Similar controversies have emerged worldwide, from unfair loan disbursements due to gender discrimination, to the use of privacybreaching facial recognition technologies to process insurance claims.