Losing Trust in AI: A Wake-Up Call for Businesses

As artificial intelligence (AI) surges and becomes a cornerstone of most technology strategies, a shocking statistic has forced the world to pause: 79% of users no longer trust AI. This finding from the Bentley-Gallup survey (2024) reflects a growing wave of skepticism about how AI systems are developed and operated. Beyond a mere number, this is a warning of a trust crisis. While AI is expected to revolutionize business operations, enhance decision-making, and personalize customer experiences, issues like lack of transparency, data bias, and privacy violations are causing users to turn away.

From tech mishaps to ethical crises

In March 2025, OpenAI faced backlash when ChatGPT generated severely false information about a Norwegian citizen, claiming he had killed his child when, in reality, he had none. Earlier, the social media platform X (formerly Twitter) was investigated in Europe for using user data to train AI models without clear consent.

Such incidents raise critical questions: Who is accountable when AI "misbehaves"? Are businesses sacrificing ethics to keep pace with technological advancements?

Responsible AI – no longer optional

In this context, "Responsible AI" is no longer a buzzword but a mandatory standard for businesses aiming to maintain user trust and comply with regulations.

Responsible AI requires systems to be transparent, fair, explainable, and respectful of privacy. However, a PwC survey indicates that only about 11% of businesses believe they have the capacity to fully implement these principles.

To address this, the ISO/IEC 42001 standard was introduced—the first international standard for AI system governance, enabling businesses to manage the entire AI lifecycle using the PDCA (Plan-Do-Check-Act) methodology. This is seen as a vital step toward standardizing responsible AI deployment and operation.

Cloud and AI: an inseparable pair

A key factor in making AI efficient and trustworthy is its infrastructure—specifically, cloud computing systems.

*Stable cloud systems are essential for sustainable AI development.*

According to Deloitte (2024), 70% of businesses deploy AI via cloud services, and 65% develop AI using platforms like AWS, Azure, or Google Cloud. Cloud enables AI to scale flexibly, reduce costs, and—most importantly—provide the stability businesses need to operate critical systems without disruptions.

Vietnam’s perspective: local infrastructure, local advantage

At the VTalks #8 event hosted by VNETWORK on April 24, 2025, over 500 business representatives discussed the future of responsible AI. During the event, VNETWORK’s VCLOUD solution was introduced as a “made in Vietnam” cloud platform that supports efficient, secure, and cost-effective AI deployment.

*The event was a success, with over 500 business representatives and experts in attendance.*

A local e-commerce platform serves as a prime example. After migrating its AI chatbot to VCLOUD, the company reported a 60% performance increase, a 92% improvement in customer response speed, and a 77% reduction in customer service costs. These results demonstrate that when AI is deployed on a stable, optimized platform, customer trust can be restored through operational efficiency.

Reshaping AI’s future with trust

Trust is the foundation of sustainable technology development. In the AI era, this trust must be reinforced through clear governance, transparent technical standards, and robust infrastructure. Businesses that recognize this will lead not only in technology but also in ethics and sustainability.

VCLOUD – a “made in Vietnam” platform delivering superior performance.

While VTalks #8 has concluded, the question of how to implement responsible AI remains open. One thing is certain: for AI to become a reliable “teammate,” businesses must start by building trust—from within their organizations to the broader, sustainable technology ecosystem. Contact VNETWORK today for consultation on VCLOUD solutions to deploy robust AI systems.