Digital trust is more critical than ever in our interconnected world. Trust is fading between individuals, governments, and technology providers, making it vital to restore confidence in digital technologies. To secure a future of progress and cohesion, it is crucial for technology developers and providers to make trust their top priority.

In today's fast-paced digital landscape, digital trust has evolved into a precious asset for businesses and organizations. This trust is the foundation that allows individuals and organizations to confidently engage in online interactions, transactions, and digital operations without compromising the holy values of privacy and security.

Algorithms utilize personal data that is collected pertaining to the situation, experience, or scenario they simulate. Data collection is crucial for machine learning and can introduce "bias" that could lead to "technological discrimination”. Nevertheless, algorithms cannot be held "guilty" as they are neither physical nor legal entities. The responsibility lies with individuals who make decisions regarding their use, implementation, and the resulting outcome.