Imagine a world where AI seamlessly blends into our daily lives, anticipating our needs and making decisions on our behalf. Sounds like a dream, right? But here’s where it gets controversial: how much can we truly trust these invisible intelligences? At CES 2026, Samsung tackled this burning question head-on, sparking a global conversation about the future of trust, security, and privacy in the AI age.
As part of its Tech Forum series, Samsung Electronics Co., Ltd. gathered a powerhouse panel of experts at The Wynn in Las Vegas for a discussion titled In Tech We Trust? Rethinking Security & Privacy in the AI Age. The session wasn’t just another tech talk—it was a deep dive into how trust is becoming the cornerstone of AI adoption. With AI increasingly embedded in everything from our smartphones to our home appliances, the question isn’t just about what AI can do, but whether we can rely on it to do the right thing.
And this is the part most people miss: trust in AI isn’t built on promises—it’s earned through consistent, transparent, and user-centric behavior. Panelists like Allie K. Miller, CEO of Open Machine; Amy Webb, CEO of the Future Today Strategy Group; Zack Kass, Global AI Advisor at ZKAI Advisory; and Shin Baik, AI Platform Centre (APC) Group Head at Samsung Electronics, agreed that AI systems must be predictable, understandable, and controllable. For instance, users want to know whether their AI is running locally or in the cloud, how their data is being used, and what parts of their experience are AI-driven. This clarity, as Miller pointed out, is what builds confidence.
Samsung’s trust-by-design approach was a key highlight, emphasizing the need for AI systems that prioritize user control and transparency. The company also showcased its on-device AI capabilities, which keep personal data local whenever possible, while leveraging cloud intelligence for tasks requiring greater speed or scale. This hybrid model offers flexibility without sacrificing privacy—a win-win for users.
But trust isn’t just about privacy; it’s also about security. As AI becomes distributed across devices, from phones to TVs to home appliances, security frameworks must evolve. Samsung’s Knox platform, which protects billions of devices from the chipset level, and Knox Matrix, a cross-device security framework, were spotlighted as examples of how an ecosystem can protect itself. “Trust in AI starts with security that’s proven, not promised,” Shin Baik remarked, underscoring the importance of a resilient, interconnected defense system.
The conversation didn’t stop there. Partnerships with industry giants like Google and Microsoft were highlighted as ways to strengthen security research and ecosystem-wide protection. Yet, Amy Webb raised a thought-provoking point: “People don’t buy things because of trust—they buy them because of convenience.” This raises a bold question: Is convenience the real driver of AI adoption, or are we overlooking the deeper need for trust?
As the panel concluded, the technologies that will earn long-term trust are those that prioritize security, transparency, and meaningful user choice from day one. But here’s where we want to hear from you: Do you think convenience will always trump trust in the AI-driven future, or is there room for both? Let us know in the comments—this is a conversation that’s just getting started.
Disclaimer: This article discusses products and features currently in development. Plans, claims, timelines, and specifications are subject to change, and future availability is not guaranteed. Availability may vary by region, country, or carrier.
