Embracing AI for Good: Insights and practices
9 Jul 2025 11:00h - 11:20h
Embracing AI for Good: Insights and practices
Session at a glance
Summary
Liu Guiqing, an operating officer from China Telecom, delivered a presentation at the AI for Good Summit in Switzerland, focusing on how his company is leveraging artificial intelligence to drive technological transformation and social benefit. He explained that technological revolutions, including the internet boom, cloud computing adoption, and now AI advancement, have created significant opportunities for the telecommunications sector to innovate and grow. China Telecom has responded by transforming from a traditional operator into a technology-driven enterprise, focusing on four strategic areas: network infrastructure, cloud computing, AI development, and quantum security technologies.
The company has developed the Xirang Integrated Intelligent Computing Service platform, which features a five-layer architecture designed to overcome data silos and provide unified access to computing power for corporate and private clients. This platform integrates infrastructure (IaaS), platform services (PaaS), data services (DaaS), and model services (MaaS), supported by China Telecom’s extensive network of over 6,000 edge data centers and 900 large data centers. The company has created comprehensive AI capabilities including the Xincheng large language model and maintains massive datasets containing over 10 trillion communication tokens and 350 TB of cross-industry information.
Liu emphasized that while AI presents tremendous opportunities, it also poses challenges including the widening intelligence divide, security risks, and uncertainties that must be addressed through four key principles: inclusivity, security, sustainability, and universal benefit. He highlighted specific achievements such as 90% accuracy in deepfake detection, 80% accuracy in scam call identification, and the creation of China’s first zero-carbon data center. The presentation concluded with three collaborative initiatives for the global AI community: establishing standardized AI infrastructure frameworks, advancing AI safety governance, and fostering a collaborative industry ecosystem to ensure AI development serves humanity’s best interests.
Keypoints
**Major Discussion Points:**
– **China Telecom’s AI Infrastructure Development**: Liu Guiqing presented the company’s Xirang Integrated Intelligent Computing Service platform, which features a five-layer architecture (SaaS, PaaS, DaaS, MaaS) designed to overcome data silos and provide unified computing power access to corporate and private clients.
– **Leveraging Existing Telecommunications Infrastructure for AI**: The discussion highlighted how China Telecom is transforming from a traditional telecom operator to a technology-driven enterprise by utilizing their extensive network of 6,000+ edge data centers and 900+ large data centers to support AI services.
– **AI Challenges and the “AI for Good” Framework**: Liu addressed key challenges including the widening intelligence divide, security risks, and uncertainties, proposing solutions through four pillars: inclusivity, security, sustainability, and universal benefit.
– **Practical AI Applications and Solutions**: Specific examples were shared including anti-fraud technologies (90% accuracy in deepfake detection, 80% in scam call identification), zero-carbon data centers, and accessibility features for elderly users like voice navigation for ride-hailing apps.
– **Global Collaboration Proposals**: Three key initiatives were proposed: establishing standardized AI infrastructure frameworks, advancing AI safety governance, and fostering collaborative industry ecosystems to ensure AI benefits humanity globally.
**Overall Purpose:**
The discussion served as a presentation at the AI for Good Summit where Liu Guiqing shared China Telecom’s strategic approach to implementing artificial intelligence responsibly, showcasing their technological capabilities while advocating for global cooperation in AI development and governance.
**Overall Tone:**
The tone was formal, professional, and optimistic throughout. Liu maintained a confident and forward-looking perspective when discussing China Telecom’s achievements and capabilities, while also demonstrating responsibility and concern when addressing AI challenges. The presentation concluded on a collaborative note, emphasizing partnership and shared global responsibility for AI development.
Speakers
– **LJ Rich**: Role/Title: Not specified, Area of expertise: Not specified (appears to be moderating/introducing speakers)
– **Liu Guiqing**: Role/Title: Operating officer from China Telecom, Area of expertise: Telecommunications, AI infrastructure, digital transformation, cloud computing, network technologies
Additional speakers:
None identified beyond those in the speakers names list.
Full session report
# AI for Good Summit Presentation: China Telecom’s AI Infrastructure and Social Responsibility Framework
## Overview
At the AI for Good Summit in Switzerland, Liu Guiqing, Operating officer from China Telecom, presented the company’s approach to leveraging artificial intelligence for technological transformation while addressing social responsibility. The presentation, moderated by LJ Rich, focused on China Telecom’s AI infrastructure development and framework for ensuring AI benefits society.
## China Telecom’s AI Infrastructure Development
### Xirang Integrated Intelligent Computing Service Platform
Liu Guiqing introduced China Telecom’s flagship initiative, the Xirang platform, designed to address fragmented computing resources. As he explained: “we currently have data silos and the computing powers are dispersed, so it is difficult for people to actually get computing power through these five layers. We will be able to more conveniently provide computing power to corporate and the private clients.”
The platform features a multi-layer architecture, though Liu’s explanation of the technical details was somewhat fragmented in the presentation. The infrastructure leverages China Telecom’s network of over 6,000 edge data centres and 900 large data centres, supported by wide bandwidth and low-latency networks for cloud-network integration.
A key component is the Xinhai Intelligent Data Platform within the Data as a Service (DaaS) layer, which incorporates over 10 trillion tokens of communication and over 350 TB of cross-sector information from 14 industries.
### Transformation from Traditional Telecommunications
Liu emphasized how technological revolutions have created opportunities for telecommunications companies to expand beyond traditional services. China Telecom has transformed into a technology-driven enterprise focusing on network infrastructure, cloud computing, AI development, and quantum security technologies.
“AI as a strategic driver of the next wave of technological revolution and industrial transformation is profoundly changing how we live and work whilst redefining communication network architectures, business products, and operational models,” Liu stated.
## AI for Good Framework
Liu addressed both opportunities and challenges in AI development, noting: “AI has brought a lot of development opportunities. At the same time, we must address its emerging challenges, including the widening intelligence divide, escalating security risks, and also uncertainties.”
China Telecom’s framework is built on four principles:
### Inclusivity
Liu argued that “AI should benefit everyone, like water and electricity, like basic utilities,” emphasizing the need to make AI accessible through distributed cloud infrastructure to narrow the digital divide.
### Security
The company has achieved over 90% accuracy in video deepfake detection and over 80% accuracy in scam call identification. Liu noted: “AI-assisted fraud is a big issue, and AI has made frauds more believable. So we have developed AI technologies to identify AI face swapping and AIGCs.”
### Sustainability
China Telecom created China’s first zero-carbon data centre powered entirely by clean energy, and implemented base stations that have achieved over 500,000 tons of carbon dioxide emission reduction.
### Universal Benefit
This focuses on developing accessible products and services, such as voice navigation systems for elderly users to access ride-hailing services, ensuring AI advancement doesn’t exclude vulnerable populations.
## Global Collaboration Proposals
Liu concluded with three initiatives for international cooperation:
**Establishing Standardised AI Infrastructure Frameworks**: Collaboration with stakeholders to promote inclusive and accessible AI technologies through common standards and protocols.
**Advancing AI Safety Governance**: Developing robust design principles, strategic planning processes, and improved risk testing mechanisms across the AI development lifecycle.
**Fostering Collaborative Industry Ecosystems**: Creating partnerships and an open, inclusive global environment for AI development.
## Key Takeaways
China Telecom’s presentation demonstrated how traditional telecommunications companies can transform into technology-driven enterprises through AI adoption. The Xirang platform represents a practical approach to addressing fragmented computing resources and data silos.
The “AI for Good” framework provides a comprehensive approach to responsible AI development, with specific achievements in fraud detection and environmental sustainability showing practical implementation at scale.
The emphasis on global collaboration reflects recognition that AI development challenges require coordinated international responses, with the three proposed initiatives providing a framework for cooperation.
## Conclusion
Liu Guiqing’s presentation outlined China Telecom’s systematic approach to AI development within a framework designed to benefit society. The company’s experience provides insights for organizations implementing AI technologies while maintaining social responsibility and environmental sustainability. The call for global collaboration positions China Telecom as a stakeholder in worldwide AI governance, recognizing that AI’s benefits and challenges require international coordination.
Session transcript
LJ Rich: Operating officer from China Telecom, please welcome Liu Guiqing
Liu Guiqing: This is a guest Ladies and gentlemen, good morning It’s my pleasure to be here in In beautiful, Switzerland for the AI for Good Summit I am honored to share China Telecom’s insights and practice on AI for Good In order to express myself precisely, I will be doing my presentation in Chinese You know technological Revolution has driven profound changes across economic, social, and industrial sectors while creating significant opportunities for the communication sector First, the widespread adoption of the Internet has transformed human interaction patterns In response, the communication industry has innovated network technologies and architectures Ushering in voice and data services boom Second, the rise of cloud computing has enabled universal access to flexible, inclusive, and secure digital information infrastructure Forward-thinking operators have seized this opportunity by building next-generation digital information infrastructure, cloud plus network Unlocking new avenues for business growth So this is the second business growth avenue Third, AI as a strategic driver of the next wave of technological revolution and industrial transformation is profoundly changing how We live and work while redefining Communication network architectures, business products, and operational models China Telecom has embraced the opportunities of this new era of technological revolution and industrial transformation capitalizing on the trends of digitization, networking, AI advancement, and sustainability We are driving technological innovation across four strategic technology areas network, cloud and cloud network convergence, AI, and quantum slash security By delivering emerging services in cloud, network data, AI security, quantum, and digital platforms we are accelerating our transformation and upgrading from a traditional operator into a technology-driven enterprises By doing that we have met the people’s demand for digital lives I would like to show you the new development phase that we are currently in which is smart cloud network convergence we have We are one of the earliest at delivering cloud computing and developing cloud computing infrastructure with the advent of AI age We are moving towards a smart era On the basis of AI infrastructure, we have built the Xirang Integrated Intelligent Computing Service platform so you can see this structure The Xirang platform has five layers So from us to us, to us to us So we have added one more layer, which is the dust layer So now we move from us to us, to us to us, so you have five layers of coordination So why do we have the five layers? because We currently have data silos and the computing powers are dispersed, so it is difficult for people to actually get computing power through these five layers We will be able to more conveniently provide computing power to corporate and the private clients. We provide them with a one-stop shop solution and the Xirang platform So I will show you the five layers from these slides, so from the SAS platform Because we are very good at building data centers, so now we are moving from traditional data center to AI data center Because we have large data centers and edge data centers And we coordinate the two types of data centers. As a traditional telecom company, we have rich resources For example, we have more than 6,000 edge data centers and 900 large data centers So how do we achieve better coordination of cloud data center and edge data centers? Because our network has very wide bandwidth and low latency and cost is also low So how do we leverage the advantages of cloud and network to achieve an integrated digital platform with a combination of cloud and network? And also when it comes to PaaS, we have a trellis platform That is decoupled from computing resources, trellis platform That is decoupled from computing resources, training, inference frameworks, and development tools To effectively give customers a one-stop shop solution to enable customers to get AI services and computing resources Easily and efficiently And also when it comes to DaaS layer, we have established a Xinhai Intelligent Data Platform And we have large data sets from our proprietary data sets and third-party data sets as well as open source data sets So we have a very large data set For example, we have a data repository that is over 10 trillion tokens of communication Alongside over 350 TB of cross-sector information from 14 industries And when it comes to MaaS, we have developed our Xincheng large model So we have integrated models and also industry-specific models And we also have third-party open source models model. So we have this full model, full scale, and fully proprietary platform. You have video, you have language, and you have meaning. So it covers a full range of models. So for example, you have cloud computers and AI phones. So we have a series of utilization scenarios. You know that AI has brought a lot of development opportunities. At the same time, we must address its emerging challenges, including the widening intelligence divide, escalating security risks, and also uncertainties. So how do we address these challenges? So we need to advance AI for good through four aspects, inclusivity, security, sustainability, and universal benefit. Inclusivity means that our AI should benefit everyone, like water and electricity, like basic utilities. So how do we achieve such inclusivity and narrow the digital gap? So we have distributed cloud. So we have a 2 plus 4 plus 31 plus X intelligent computing cloud infrastructure. Also, our network has low latency and low cost. So many applications such as smart driving would be easily supported by our networks. Also, we have many integrated platforms. So through cloud plus data plus AI models plus application solutions, we have created an ecosystem with over 100 digital platforms and implemented 45,000 industrial application projects. Moving on, security is a top concern of all AI experts in the world, and it’s a key for ensuring AI for good. China Telecom has introduced a large language model in security from data to code to operations and attack slash defense and support. We have many core application scenarios such as threat analysis and judgment and intelligent operations. Because we know that AI-assisted fraud is a big issue, and AI has made frauds more believable. So we have developed AI technologies to identify AI face swapping and AIGCs. So we can achieve over 90% accuracy in video deepfake detection and over 80% accuracy in scam call identification, thus offering new solutions and ideas for global anti-fraud efforts. Thirdly, AI in power screen and sustainable development of industries. So we have two cases. For example, in Qinghai Province, we have created the first zero-carbon big data center powered by 100% of clean energy, and the key technologies are now also being scaled up and implemented. And also, some base stations are seeing over 500,000 tons of carbon dioxide emission reduction because of energy reduction efforts for these base stations. And fourthly, inclusive and shared access to intelligent applications because AI products are difficult for the elderly and children, especially for the elderly. So we have developed products such as language navigation models so that they can speak into the app to get a cab, thus making it easier for the elderly to move about. Artificial intelligence is driving unprecedented transformation across the globe. And it is a global responsibility to promote the development of AI. And China Telecom is committed to promoting the healthy and orderly development of AI towards beneficial, secure, and equitable outcomes that ultimately serve humanity’s best interest. To this end, I would like to propose three initiatives. The first, we shall collaborate to establish a standardized framework for AI infrastructure. By harnessing expertise from all stakeholders, we can jointly chart the revolutionary path of artificial intelligence, advance research on next-generation digital infrastructure standards, and facilitate the development of such infrastructure that can be used for and facilitate the development of such infrastructure that integrates cloud network and AI, ultimately promoting inclusive and accessible AI technologies. Secondly, we shall collectively advance the governance of AI safety through robust, top-level design and strategic planning. We can proactively avoid and mitigate potential risks from the source. In addition, we need to improve the AI risk testing and evaluation mechanisms while elevating both safety thresholds and governance capabilities across the AI development lifecycle to ensure AI intelligence progresses in a secure, well-regulated, and controlled manner. Third, we shall foster a collaborative AI industry ecosystem through deepened technological and industrial partnerships. By cultivating a more open, collaborative, and inclusive global environment for artificial intelligence, we can collectively accelerate the realization of AI for good. As China Telecom, as a committed practitioner of AI for good, seeks to deepen collaboration with global partners, closely track technological and industry trends to bridge the intelligence divide, and relentlessly advance AI for good. Thank you. I would like to thank ITU and our global ecosystem partners for your support and your assistance, and I would like to wish this forum a complete success. Thank you very much.
LJ Rich: That was incredible. Thank you very much to Liu Guiqing for a
Liu Guiqing
Speech speed
106 words per minute
Speech length
1497 words
Speech time
843 seconds
China Telecom has built the Xirang Integrated Intelligent Computing Service platform with five layers (SaaS, PaaS, DaaS, MaaS) to provide one-stop computing power solutions
Explanation
China Telecom developed the Xirang platform to address data silos and dispersed computing power issues. The five-layer architecture enables more convenient provision of computing power to corporate and private clients through a comprehensive one-stop solution.
Evidence
The platform includes SaaS, PaaS (trellis platform decoupled from computing resources), DaaS (Xinhai Intelligent Data Platform), and MaaS (Xincheng large model) layers
Major discussion point
China Telecom’s AI Infrastructure and Platform Development
Topics
Infrastructure | Development
Agreed with
– LJ Rich
Agreed on
Appreciation for comprehensive AI presentation
The company leverages over 6,000 edge data centers and 900 large data centers with wide bandwidth, low latency networks to achieve cloud-network integration
Explanation
China Telecom utilizes its extensive infrastructure resources to coordinate cloud and edge data centers effectively. The company’s network advantages of wide bandwidth, low latency, and low cost enable better integration of cloud and network capabilities into a unified digital platform.
Evidence
More than 6,000 edge data centers and 900 large data centers, with networks having wide bandwidth, low latency, and low cost
Major discussion point
China Telecom’s AI Infrastructure and Platform Development
Topics
Infrastructure | Development
China Telecom has developed the Xincheng large model with over 10 trillion tokens of communication data and 350 TB of cross-sector information from 14 industries
Explanation
The company created comprehensive AI models that integrate proprietary, industry-specific, and third-party open source models. This full-scale platform covers various model types including video, language, and meaning models for diverse application scenarios.
Evidence
Data repository with over 10 trillion tokens of communication data and over 350 TB of cross-sector information from 14 industries, covering video, language, and meaning models
Major discussion point
China Telecom’s AI Infrastructure and Platform Development
Topics
Infrastructure | Development
AI should be inclusive like basic utilities (water and electricity) to benefit everyone and narrow the digital divide through distributed cloud infrastructure
Explanation
China Telecom advocates for AI accessibility similar to essential utilities, ensuring universal benefit. The company implements a distributed cloud infrastructure strategy to make AI services widely available and reduce digital inequality.
Evidence
2 plus 4 plus 31 plus X intelligent computing cloud infrastructure, low latency and low cost networks supporting applications like smart driving
Major discussion point
AI for Good Implementation Through Four Key Principles
Topics
Development | Human rights
Security is achieved through AI-powered threat detection, with over 90% accuracy in video deepfake detection and over 80% accuracy in scam call identification
Explanation
China Telecom addresses AI security challenges by developing technologies to combat AI-assisted fraud and threats. The company has implemented comprehensive security measures covering data, code, operations, and attack/defense scenarios.
Evidence
Over 90% accuracy in video deepfake detection and over 80% accuracy in scam call identification, AI technologies for identifying AI face swapping and AIGCs
Major discussion point
AI for Good Implementation Through Four Key Principles
Topics
Cybersecurity | Development
Sustainability is demonstrated through zero-carbon data centers powered by 100% clean energy and base stations reducing over 500,000 tons of CO2 emissions
Explanation
The company promotes environmental sustainability through green technology implementation in AI infrastructure. China Telecom has created environmentally friendly data centers and optimized base station operations to significantly reduce carbon emissions.
Evidence
First zero-carbon big data center in Qinghai Province powered by 100% clean energy, base stations achieving over 500,000 tons of CO2 emission reduction
Major discussion point
AI for Good Implementation Through Four Key Principles
Topics
Development | Infrastructure
Universal benefit includes developing accessible products like voice navigation for elderly users to easily access services
Explanation
China Telecom focuses on making AI products accessible to vulnerable populations, particularly elderly users and children. The company develops user-friendly interfaces that accommodate different technological skill levels and accessibility needs.
Evidence
Language navigation models allowing elderly users to speak into apps to get cabs, making transportation more accessible
Major discussion point
AI for Good Implementation Through Four Key Principles
Topics
Development | Human rights
Establishing standardized frameworks for AI infrastructure through collaboration with all stakeholders to promote inclusive and accessible AI technologies
Explanation
China Telecom proposes creating unified standards for AI infrastructure development through global cooperation. This initiative aims to advance next-generation digital infrastructure that integrates cloud, network, and AI technologies for universal accessibility.
Evidence
Proposal for collaborative research on next-generation digital infrastructure standards that integrate cloud network and AI
Major discussion point
Global Collaboration Initiatives for AI Development
Topics
Infrastructure | Development
Advancing AI safety governance through robust design, strategic planning, and improved risk testing mechanisms across the AI development lifecycle
Explanation
The company advocates for comprehensive AI safety governance that addresses risks proactively from the source. This approach involves improving risk assessment capabilities and maintaining high safety standards throughout AI development and deployment.
Evidence
Emphasis on top-level design, strategic planning, improved AI risk testing and evaluation mechanisms, and elevated safety thresholds
Major discussion point
Global Collaboration Initiatives for AI Development
Topics
Cybersecurity | Legal and regulatory
Fostering collaborative AI industry ecosystems through deepened technological partnerships and creating an open, inclusive global environment
Explanation
China Telecom promotes building collaborative relationships across the AI industry to accelerate beneficial AI development. The company seeks to create an environment that encourages technological cooperation and knowledge sharing among global partners.
Evidence
Commitment to deepen collaboration with global partners, track technological and industry trends, and bridge the intelligence divide
Major discussion point
Global Collaboration Initiatives for AI Development
Topics
Development | Economic
LJ Rich
Speech speed
133 words per minute
Speech length
21 words
Speech time
9 seconds
Recognition of Liu Guiqing’s comprehensive presentation on China Telecom’s AI initiatives
Explanation
LJ Rich expressed appreciation for Liu Guiqing’s detailed presentation covering China Telecom’s AI infrastructure, platform development, and AI for Good initiatives. The acknowledgment recognized the comprehensive nature of the presentation delivered at the AI for Good Summit.
Evidence
Statement ‘That was incredible. Thank you very much to Liu Guiqing’
Major discussion point
Acknowledgment and Appreciation
Topics
Sociocultural
Agreed with
– Liu Guiqing
Agreed on
Appreciation for comprehensive AI presentation
Agreements
Agreement points
Appreciation for comprehensive AI presentation
Speakers
– Liu Guiqing
– LJ Rich
Arguments
China Telecom has built the Xirang Integrated Intelligent Computing Service platform with five layers (SaaS, PaaS, DaaS, MaaS) to provide one-stop computing power solutions
Recognition of Liu Guiqing’s comprehensive presentation on China Telecom’s AI initiatives
Summary
Both speakers participated in a successful presentation exchange where Liu Guiqing delivered comprehensive insights on China Telecom’s AI initiatives and LJ Rich acknowledged the quality and thoroughness of the presentation
Topics
Sociocultural | Development
Similar viewpoints
Both speakers demonstrate alignment on the value and importance of sharing comprehensive AI knowledge and initiatives at international forums like the AI for Good Summit
Speakers
– Liu Guiqing
– LJ Rich
Arguments
China Telecom has built the Xirang Integrated Intelligent Computing Service platform with five layers (SaaS, PaaS, DaaS, MaaS) to provide one-stop computing power solutions
Recognition of Liu Guiqing’s comprehensive presentation on China Telecom’s AI initiatives
Topics
Development | Sociocultural
Unexpected consensus
No unexpected consensus identified
Speakers
Arguments
Explanation
The interaction was primarily a presentation format with one main speaker (Liu Guiqing) and acknowledgment from the moderator (LJ Rich). There were no opposing viewpoints presented that could lead to unexpected consensus.
Topics
Overall assessment
Summary
The discussion showed complete alignment between the presenter and moderator, with Liu Guiqing presenting China Telecom’s comprehensive AI for Good initiatives and LJ Rich providing positive acknowledgment
Consensus level
Very high consensus level due to the presentation format. The implications are limited as this was not a debate or multi-perspective discussion, but rather a knowledge-sharing session that successfully conveyed China Telecom’s AI infrastructure developments and AI for Good principles to an international audience.
Differences
Different viewpoints
Unexpected differences
Overall assessment
Summary
No disagreements identified in the transcript. The discussion consists primarily of Liu Guiqing presenting China Telecom’s AI initiatives and LJ Rich providing acknowledgment.
Disagreement level
No disagreement present. This appears to be a presentation format rather than a debate or discussion with opposing viewpoints. LJ Rich’s role was limited to introducing and thanking the speaker, with no substantive arguments or counterpoints presented.
Partial agreements
Partial agreements
Similar viewpoints
Both speakers demonstrate alignment on the value and importance of sharing comprehensive AI knowledge and initiatives at international forums like the AI for Good Summit
Speakers
– Liu Guiqing
– LJ Rich
Arguments
China Telecom has built the Xirang Integrated Intelligent Computing Service platform with five layers (SaaS, PaaS, DaaS, MaaS) to provide one-stop computing power solutions
Recognition of Liu Guiqing’s comprehensive presentation on China Telecom’s AI initiatives
Topics
Development | Sociocultural
Takeaways
Key takeaways
China Telecom has successfully transformed from a traditional telecom operator to a technology-driven enterprise by embracing AI, cloud computing, and network convergence
The company has developed a comprehensive five-layer Xirang platform (SaaS, PaaS, DaaS, MaaS) that provides integrated AI computing services and addresses data silos
AI for Good must be implemented through four key principles: inclusivity (making AI accessible like basic utilities), security (protecting against AI-enabled threats), sustainability (reducing environmental impact), and universal benefit (ensuring accessibility for all users including elderly)
China Telecom has achieved significant technical milestones including 90% accuracy in deepfake detection, 80% accuracy in scam call identification, and zero-carbon data centers
Global collaboration is essential for AI development and requires standardized frameworks, robust safety governance, and inclusive industry ecosystems
Resolutions and action items
Establish standardized frameworks for AI infrastructure through collaboration with global stakeholders
Advance AI safety governance through improved risk testing and evaluation mechanisms across the AI development lifecycle
Foster collaborative AI industry ecosystems through deepened technological and industrial partnerships
Continue scaling up zero-carbon data center technologies and energy reduction efforts
Deepen collaboration with global partners to bridge the intelligence divide and advance AI for good
Unresolved issues
Specific implementation details and timelines for the three proposed global collaboration initiatives were not provided
Technical specifications and standards for the proposed AI infrastructure framework remain undefined
Mechanisms for international coordination and governance of AI safety standards were not detailed
Funding models and resource allocation for global AI collaboration efforts were not addressed
Specific metrics and benchmarks for measuring ‘AI for Good’ success globally were not established
Suggested compromises
None identified
Thought provoking comments
AI as a strategic driver of the next wave of technological revolution and industrial transformation is profoundly changing how we live and work while redefining Communication network architectures, business products, and operational models
Speaker
Liu Guiqing
Reason
This comment is insightful because it positions AI not just as another technology tool, but as a fundamental force that is reshaping entire industries and human behavior patterns. It demonstrates a macro-level understanding of AI’s transformative power beyond simple automation or efficiency gains.
Impact
This comment established the foundational framework for the entire presentation, setting up AI as the central theme around which all subsequent technical and strategic discussions would revolve. It shifted the conversation from traditional telecom services to AI-driven transformation.
We currently have data silos and the computing powers are dispersed, so it is difficult for people to actually get computing power through these five layers. We will be able to more conveniently provide computing power to corporate and the private clients.
Speaker
Liu Guiqing
Reason
This comment is thought-provoking because it identifies a critical infrastructure problem – the fragmentation of computing resources – and presents a concrete architectural solution. It reveals the practical challenges behind AI deployment at scale and how traditional telecom companies can leverage their infrastructure advantages.
Impact
This comment transitioned the discussion from high-level AI concepts to specific technical implementation challenges and solutions, introducing the Xirang platform as a practical response to real-world infrastructure limitations.
AI has brought a lot of development opportunities. At the same time, we must address its emerging challenges, including the widening intelligence divide, escalating security risks, and also uncertainties.
Speaker
Liu Guiqing
Reason
This comment is particularly insightful because it acknowledges the dual nature of AI advancement – both its tremendous potential and its inherent risks. The concept of an ‘intelligence divide’ is especially thought-provoking as it parallels the digital divide but suggests even more profound societal implications.
Impact
This comment marked a crucial turning point in the presentation, shifting from technical capabilities and business opportunities to ethical considerations and social responsibility. It introduced the ‘AI for Good’ framework that would structure the remainder of the discussion.
AI should benefit everyone, like water and electricity, like basic utilities… AI-assisted fraud is a big issue, and AI has made frauds more believable. So we have developed AI technologies to identify AI face swapping and AIGCs.
Speaker
Liu Guiqing
Reason
This comment is deeply thought-provoking because it presents AI as a fundamental utility while simultaneously acknowledging that AI itself creates new categories of threats that require AI solutions. The metaphor of AI as a utility like water and electricity suggests universal access and essential infrastructure, while the fraud detection example shows the arms race dynamic in AI development.
Impact
This comment introduced a complex paradox that deepened the discussion’s analytical level – the idea that AI solutions are needed to combat AI-generated problems. It also elevated the conversation to consider AI’s role in society’s basic infrastructure.
We shall collaborate to establish a standardized framework for AI infrastructure… collectively advance the governance of AI safety… foster a collaborative AI industry ecosystem
Speaker
Liu Guiqing
Reason
These three proposals are insightful because they recognize that AI development cannot be effectively managed by individual companies or nations alone. The call for global collaboration on standards, safety governance, and ecosystem development acknowledges the inherently global nature of AI challenges and opportunities.
Impact
These concluding proposals shifted the discussion from China Telecom’s specific initiatives to broader global cooperation needs, positioning the company as a stakeholder in worldwide AI governance rather than just a technology provider.
Overall assessment
While this transcript represents primarily a monologue presentation rather than an interactive discussion, Liu Guiqing’s key comments effectively structured a comprehensive narrative that moved from technological transformation to practical implementation challenges, then to ethical considerations, and finally to global cooperation needs. The most impactful comments were those that revealed the complexity and dual nature of AI development – showing both tremendous opportunities and significant risks that require collaborative solutions. The speaker’s ability to connect technical infrastructure details with broader societal implications created a multi-layered discussion that addressed AI from business, technical, ethical, and policy perspectives. The progression of ideas demonstrated how AI development in telecommunications requires not just technical innovation but also social responsibility and international cooperation.
Follow-up questions
How can the standardized framework for AI infrastructure be practically implemented across different countries and organizations with varying technological capabilities?
Speaker
Liu Guiqing
Explanation
This is important because Liu proposed establishing a standardized framework but didn’t provide specific implementation details or address how to handle technological disparities between different stakeholders globally.
What specific mechanisms and metrics should be used for AI risk testing and evaluation across the development lifecycle?
Speaker
Liu Guiqing
Explanation
This requires further research as Liu mentioned the need to improve AI risk testing and evaluation mechanisms but didn’t specify what these mechanisms should look like or how they would be standardized globally.
How can the scalability and replication of zero-carbon data center technologies be achieved in different geographical and regulatory environments?
Speaker
Liu Guiqing
Explanation
This is important for sustainability goals as Liu mentioned their zero-carbon data center in Qinghai Province and that technologies are being scaled up, but didn’t address the challenges of implementing this globally.
What are the specific technical approaches and accuracy benchmarks for AI-assisted fraud detection that can be standardized across different telecommunications networks?
Speaker
Liu Guiqing
Explanation
This requires further investigation as Liu mentioned achieving 90% accuracy in video deepfake detection and 80% in scam call identification, but didn’t provide technical details that could be adopted by other operators globally.
How can the coordination between large data centers and edge data centers be optimized to ensure consistent AI service delivery across different network infrastructures?
Speaker
Liu Guiqing
Explanation
This is important for the practical implementation of AI services as Liu described their approach with 6,000 edge data centers and 900 large data centers but didn’t detail how other operators with different infrastructure could achieve similar coordination.
Disclaimer: This is not an official session record. DiploAI generates these resources from audiovisual recordings, and they are presented as-is, including potential errors. Due to logistical challenges, such as discrepancies in audio/video or transcripts, names may be misspelled. We strive for accuracy to the best of our ability.
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