Honor CEO James Li stresses the importance of open collaboration in AI development and calls for the establishment of industry-wide standards. A new white paper presents five principles for data protection, which include on-device processing and encryption.
The vision for the “Physical AI Era” envisions seamless connectivity among devices such as phones, cars, and wearables through unified AI standards. Emphasizing user trust, the focus is on data minimization, desensitization, and deletion to address privacy risks.
Honor’s recently launched Alpha Plan represents a significant advancement into the physical AI era, integrating state-of-the-art artificial intelligence with strict data privacy protocols.
During recent industry discussions, CEO James Li detailed the company’s approach to encourage open collaboration within the tech ecosystem, promoting the establishment of unified AI connectivity standards to connect devices such as smartphones, vehicles, and wearables.
Central to Honor’s vision is its commitment to the ethical development of AI, detailed in a white paper that highlights five core principles:
Data minimization: Gathering only the necessary user information.
On-device protection: Keeping sensitive data stored locally rather than in the cloud.
On-device processing: Focusing on local computation to enhance privacy.
Desensitization and encryption: Protecting data prior to uploading it to the cloud.
Data deletion: Removing information after it has been used.
Li foresees a future in which AI streamlines everyday activities—imagine phones automatically connecting to smart homes or wearables providing real-time health information.
However, he emphasized that realizing this vision necessitates collaboration across the industry to prevent the development of fragmented and insecure systems.
Although Honor’s framework establishes a significant standard for transparency, critics are doubtful about whether rival companies will embrace its open-platform philosophy.
