Trust refers to the confidence and belief that individuals or entities have in the reliability, integrity, and capability of a system or a person.
In AI, trust is crucial because it directly impacts user adoption, satisfaction, and overall success of AI systems.
Building trust in AI involves ensuring AI systems' transparency, fairness, and accountability and protecting user privacy and security. Trust is vital for AI because it often requires decision-making processes that can significantly impact people's lives, such as hiring decisions or medical diagnoses. By building trust in AI, organizations can establish long-term relationships with their customers and stakeholders and drive the adoption and uptake of AI technologies.
"I'm a big believer in building trust between humans through consistent outcomes and holding ourselves accountable to it." - Navrina Singh, Founder and CEO of Credo AI.