As artificial intelligence (AI) becomes more integrated into daily life, concerns around algorithmic bias, data privacy, and user autonomy are growing. Atinderpal Singh Saini, a product management leader, emphasized that these are not secondary issues but core principles of responsible AI development.AI systems are trained on vast datasets, but biases in these datasets can lead to unfair or discriminatory outcomes. “Bias in AI isn’t just a technical flaw—it’s a societal risk,” said Atinderpal Singh Saini. “If left unchecked, it can reinforce inequalities rather than eliminate them.” Cases of biased hiring algorithms and facial recognition errors highlight the need for more diverse and transparent training data.With AI handling sensitive user data, privacy concerns are increasing. “Users should have clear control over their data,” said Ananya Mehta, a cybersecurity expert. “Without transparency, AI risks becoming a tool for surveillance rather than empowerment.” Regulations like GDPR and emerging AI governance frameworks aim to protect user data, but enforcement remains a challenge.AI’s ability to make decisions on behalf of users raises questions about autonomy. “As AI agents take over tasks, there is a fine line between convenience and overreach,” said Saini. “Users should be able to opt in, modify, or override AI-driven decisions.”
Experts hightlight ethical concerns in AI: Algorithmic bias, data privacy, and user autonomy | India News
