Honor reaffirms dedication to transparent cooperation in artificial intelligence.

Honor Alpha Plan was unveiled at MWC 2025, with CEO James Li emphasizing open collaboration in AI. He shared insights from a white paper focused on user data protection and outlined five guiding principles: data minimization, on-device protection for sensitive data, prioritizing on-device processing, desensitization and encryption before cloud upload, and data deletion after usage. Li noted the industry’s shift towards a physical AI era, advocating for a unified platform enhancing device connectivity—like seamless integration of phones, vehicles, homes, and wearables. While these initiatives are promising, their practical implementation remains to be seen.

The Honor Alpha Plan was announced on Sunday, unveiling more insights from the company regarding its ambitions in the AI sector.

James Li, the CEO of Honor, participated in two panels at MWC 2025, where he emphasized the company’s commitment to fostering open collaboration in artificial intelligence. He also discussed a newly released white paper focused on user data protection and outlined the five guiding principles his company aims to adopt.

The Honor executive highlighted that the world is transitioning into a physical AI era. The industry needs to collaborate and co-develop a platform that supports a diverse array of devices to streamline everyday tasks.

For instance, enabling seamless connections between phones, vehicles, and homes, along with wearables offering tailored health insights, represents significant progress. James Li noted that achieving this will require “unified AI connectivity standards and solutions.”

Honor confirms commitment to open collaboration in the world AI

User data protection remains a critical issue in the AI age, and Honor is tackling this challenge through its five key principles: data minimization, safeguarding sensitive data on devices, prioritizing on-device processing, desensitizing and encrypting data before cloud upload, and ensuring data deletion after use.

While these concepts sound promising in theory, only time will reveal if they extend beyond theoretical discussions in conference halls.

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