"Autonomous AI" that performs tasks without human instruction... "Will fundamentally change Samsung Electronics' organizational culture"
Samsung Electronics Chairman Lee Jae-yong declared that "ethical AI" will fundamentally transform the company's organizational culture, going beyond mere technological advancements. At the "Samsung AI Forum 2026" held in the Samsung Electronics Suseo Office in Seocho-gu, Seoul on the 30th, Lee expressed that they aim to explore the future direction together with global AI leaders and drive actual AI technology innovations.
Ethical AI refers to an AI system that can independently make decisions and perform tasks without human instruction. The chairman noted that while AI drives innovation in our daily lives, it also presents new challenges such as security, trust, and harmonization with business environments. The annual 10th forum under the theme "Ethical Shift: From Intelligence to Impact" discussed the practical application of ethical AI and physical AI in daily work and achievements.
Over 400 people, including 100 national university AI professors and researchers, and 300 Samsung Electronics AI-sector employees, attended the event, which was also live-streamed on YouTube. During the keynote speech, Richard Ho, Vice President of Hardware at OpenAI, introduced the potential industry-wide changes brought by autonomous decision-making ethical AI.
David Green, AWS Asia-Pacific and Japan AI Technology Leader, presented security and governance strategies for safely and economically implementing ethical AI in business settings. In the afternoon session, the forum was divided into DX (device experience) and DS (device solution) parts. DX focused on sharing research results and application cases of AI technology, while DS presented case studies of AI agents applied in work by global partners such as Dell Technologies and Anthropic, as well as Samsung Electronics' implementation of AI in semiconductor design and manufacturing.
Written by urgent.news from Hankyoreh's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
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