Concerns around algorithmic bias, data privacy, and user autonomy are growing. Cases of biased hiring algorithms and facial recognition errors highlight the need for more diverse and transparent training data. “Bias in AI isn’t just a technical flaw—it’s a societal risk,” said Atinderpal Singh Saini, a product management leader, for AI firm, Accenture. ‘Without transparency, AI risks becoming a tool for surveillance rather than empowerment,’ said Ananya Mehta, a cybersecurity expert for Accenture, in an interview with Times of India on Thursday, June 14.. For confidential support call the Samaritans in the UK on 08457 90 90 90, visit a local Samaritans branch, or click here for details. In the U.S. call the National Suicide Prevention Line on 1-800-273-8255, or visit http://www.suicidepreventionlifeline.org/. For confidential help in the United States, call theNational Suicide Prevention Lifeline at 1-877-788-7457, or see http:// www.samaritans.org/ for help.