Page 750 - AI for Good Innovate for Impact
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AI for Good Innovate for Impact



                      technologies combining deep learning and edge computing to enhance AI real-time responses
                      and prediction accuracy. Explore multimodal AI technologies, integrating voice, image, and
                      tactile perception to provide more comprehensive assistive features. On this basis, develop
                      more accessible intelligent features to meet the needs of various disabilities and scenarios,
                      enhancing the user experience.
                      2.    Collaboration and Ecosystem Building

                      Strengthen cooperation with governments, research institutions, NGOs, and other enterprises
                      10to jointly promote the development and application of accessibility technologies. Participate
                      in the development of industry standards to facilitate the standardization and popularization
                      of AI in the accessibility field. Additionally, build an open developer platform to encourage
                      innovative applications based on AI platform.


                      3.    Internationalization and Market Expansion
                      Optimize AI solutions based on the accessibility needs and regulatory requirements of different
                      regions. Actively participate in international exhibitions and events related to AI and accessibility
                      to enhance the benefit of AI in the use case.

                      4.    Security and Privacy Protection

                      Enhance on-device AI security and privacy protections to safeguard user data locally [11].
                      Increase the investment in AI security research and privacy protection algorithms to build user
                      trust.

                      3      Use Case Requirements


                      •     REQ-01: Algorithm Capabilities

                      The multimodal large model uses Large Language Model(LLM) as its base and adds a visual
                      module to LLM, enabling the model to simultaneously process data from both text and image
                      modalities, which can better handle complex and real-world problems.

                      •     REQ-02: Hardware Requirements

                      Users are required to use smartphones that support accessibility features to ensure that the
                      devices can run high-performance algorithms and handle complex tasks.

                      •     REQ-03: User Feedback Collection and Analysis Technology

                      By collecting user feedback on the accessibility feature via online and offline channels, we use
                      data analysis technology to evaluate these feedbacks and optimize the accessibility feature
                      accordingly. Such an analytical method aids in understanding user needs and behaviors, thus
                      enhancing feature design and boosting user satisfaction.

                      •     REQ-04: Social Development Trends and Corporate Responsibility

                      Given the aging population and the growing demand for accessibility in social, accessible
                      products are necessary. This enables AI to permeate all aspects of life through mobile phones,
                      supporting the quality of life for users with visual and hearing impairments.






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