Samsung Electronics today hosted a global expert panel on “In Tech We Trust? Rethinking Security and Privacy in the Age of AI” as part of the Tech Forum Series at CES 2026. The session, held at The Wynn in Las Vegas, convened global experts in technology, research and ethics to explore how trust has emerged as one of the most important factors shaping how people adopt and engage with AI as it integrates more seamlessly into everyday life.
Making invisible intelligence reliable
As AI increasingly anticipates needs, manages routines, and operates autonomously across devices, panelist Allie K. Miller, CEO of Open Machine, said: Amy Webb, Future Today Strategy Group CEO. Zack Kass, Global AI Advisor at ZKAI Advisory and former Head of Market Development at OpenAI. Shin Baik, Group Head of AI Platform Center (APC) at Samsung Electronics, emphasized that trust must be earned not through promises, but through consistent and understandable actions.
In this session, Samsung shared its approach to Trust-by-Design and emphasized the importance of AI systems that are predictable, transparent, and easy for users to control. “Users want transparency and control when it comes to AI,” says Allie Miller. “They want to be the leader in unique, personalized experiences. They want to understand whether their AI models are running locally or in the cloud, know that their data is safe, and That level of visibility creates confidence. There is a responsibility on the part of the provider to respond well to the user by designing a personalized experience around the core elements of trust: clarity, security, and accountability.”
Samsung also highlighted that its on-device AI allows it to keep personal data as local as possible, while selectively using cloud-based intelligence when faster or larger scale is needed, giving users flexibility without compromising privacy.
Security built for an AI-driven world
The panel also considered how security must evolve as intelligence is distributed across phones, televisions, and consumer electronics. In this session, Samsung highlighted its Knox security platform, which protects billions of devices from chipset setup, and Knox Matrix, a cross-device security framework that enables mutual authentication and protection of products.
“Trust in AI starts with proven security, not promised,” says Shin Baik. “For more than a decade, Samsung Knox has provided a deeply embedded security platform designed to protect sensitive data at every layer. But trust goes beyond a single device and requires an ecosystem that protects itself. With Knox, devices are continuously authenticated and monitored by each other, so each device acts as a shield for the rest, creating a resilient and secure environment that users can trust.”
Dialogue across industries about the future of trust
Shin Baik highlighted how trust increases when AI behaves predictably and securely across devices, arguing that users need visible control signals rather than “black box” systems. Samsung pointed to partnerships with industry leaders such as Google and Microsoft as ways to enhance shared security research, interoperability, and protection of the entire ecosystem, while Ally Miller emphasized the importance of transparency to users, including where AI models are run, how data is used, and clear labels on what is leveraging AI and what is not. Meanwhile, Zack Kass added that while misinformation and abuse are real challenges, “there are countermeasures against all risks, and the technology itself will play an important role in mitigating the downsides of AI.”
Amy Webb evaluated the relationship between trust and consumer purchasing habits. “I don't think they're making decisions based solely on trust,” she says. “People aren't paying for trust. They don't buy things for trust. They buy things for convenience. So if this AI part engages people, it will make people's lives easier and more convenient.”
As AI becomes increasingly invisible, the commission concluded that the technologies that will earn long-term trust are those that prioritize security, transparency, and meaningful user choice from the start.
