Samsung Electronics Co., Ltd. hosted a panel on trust, security, and privacy in artificial intelligence (AI) as part of its Tech Forum series at CES 2026. The session, titled “In Tech We Trust? Rethinking Security & Privacy in the AI Age,” took place at The Wynn in Las Vegas and brought together global experts in technology, research, and ethics to discuss how trust is shaping AI adoption.
Panelists included Allie Miller, CEO of Open Machine; Amy Webb, CEO of the Future Today Strategy Group; Zack Kass, Global AI Advisor at ZKAI Advisory and former head of Go-To-Market at OpenAI; and Shin Baik, AI Platform Center (APC) group head at Samsung Electronics. They highlighted that as AI becomes more integrated into daily life, trust must be built through consistent and understandable behavior rather than promises.
“When it comes to AI, users are looking for transparency and control,” Miller said. “They want to be leaders in their own personalized experiences — to understand whether an AI model is running locally or in the cloud, to know their data is secure, and to clearly see what is powered by AI and what is not.”
Miller noted that visibility and clarity help build confidence. She added that providers have a responsibility to design experiences around trust, clarity, security, and accountability. Samsung showcased this approach through on-device AI, which keeps personal data local whenever possible, while using cloud-based intelligence selectively for speed or scale. This approach gives users flexibility without compromising privacy.
The panel also discussed the need for evolving security as AI spreads across phones, TVs, and home appliances. Samsung highlighted its Knox security platform, which protects billions of devices from the chipset up, and Knox Matrix, a cross-device framework that allows products to authenticate and protect one another.
“Trust in AI starts with security that’s proven, not promised,” Shin Baik said. “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 — it requires an ecosystem that protects itself. With Knox, devices continuously authenticate and monitor one another, creating a secure environment users can rely on.”
Panelists emphasized that predictable and secure AI behavior across devices is essential. Miller underscored the need for transparency, including clear labels showing what is powered by AI and how data is used. Kass added that while misinformation and misuse are challenges, technology itself can provide countermeasures to mitigate AI risks.