CUTS Daily Bulletin # 02 | July 09, 2025
AI for Healthcare, AI for Humanity
 
This session, held on 9th July 2025 at Palexpo in Geneva, Switzerland, marked the second day of the summit and featured Zhiping Chen, Vice President of ZTE Corporation, as the speaker. It explored the vital role of artificial intelligence (AI) in addressing some of the most pressing global challenges. The session highlighted two domains in particular where AI is driving meaningful change: infrastructure and healthcare.


The key takeaways were:
  1. AI as a Catalyst for Infrastructure Resilience: AI is redefining how infrastructure is managed in the face of urbanization, climate change, and resource constraints. By detecting vulnerabilities early and enabling predictive maintenance, AI shifts systems from reactive to proactive. In crisis scenarios, it streamlines response and recovery, ensuring faster, smarter decisions. The result is not just stronger infrastructure—but one that learns, adapts, and endures.  
  2. Healthcare as a Strategic Entry Point for AI Deployment: With its rich data and critical need for precision, healthcare is an ideal arena for AI innovation. AI enhances clinical decisions, streamlines operations, and broadens access—especially where systems are under strain. It’s not just improving care; it’s reshaping how, where, and for whom care is delivered.
  3. AI-Powered Examination and Diagnostics: AI-driven diagnostic systems are transforming healthcare delivery by remotely generating expert-level health assessments. These technologies extend critical services to underserved regions, alleviating the burden on medical staff while preserving diagnostic accuracy. In doing so, AI becomes a force multiplier—amplifying the reach and impact of expert care across geographic and systemic boundaries.
  4. Accelerated Pathology via AI: AI is revolutionizing pathology by dramatically shortening diagnostic timelines. What once took weeks can now be achieved in days, as AI rapidly scans and analyses medical imagery with high precision. This not only aids pathologists in detecting critical anomalies but also enables faster treatment decisions—making AI a powerful, life-saving tool in time-sensitive conditions like cancer.
  5. AI + 5G for Emergency Medical Logistics: In critical care, every minute counts. By integrating AI with 5G and drone technology, emergency medical logistics are becoming faster and more reliable. Real-world deployments—like drone-delivered blood plasma—demonstrate how AI bypasses delays to deliver life-saving supplies within minutes. This fusion of smart networks and autonomous mobility is redefining emergency response, turning speed and precision into standard practice.
  6. Scalable, Modular AI Healthcare Platforms: For AI to transform healthcare at scale, it must be accessible. No-code platforms and modular hardware now allow hospitals—regardless of size or technical capacity—to deploy AI solutions with ease. By reducing complexity and empowering clinicians, these tools shift the focus back to patient care. They also foster collaboration between medical and tech experts, accelerating innovation where it matters most.
(Reporting by Peter Maundu, CUTS International, Geneva)
Smarter, Stronger, Safer: The AI Advantage in Infrastructure Resilience
 
Today, 9 July 2025, marked the second day of the AI for Good Global Summit held , the flagship United Nations platform for advancing AI-driven solutions that serve humanity. Since its inception in 2017, AI for Good—established by the International Telecommunication Union (ITU) in collaboration with over 40 UN sister agencies and co-convened with the Government of Switzerland—has grown into the world’s foremost convening space for translating artificial intelligence into meaningful progress toward the UN Sustainable Development Goals (SDGs). Drawing on Deloitte’s new global report, Ms. Elizabeth Faber (the speaker and the Global Chief People & Purpose Officer, Deloitte) made one thing clear during this session: in an era of climate shocks and systemic strain, resilient infrastructure is no longer optional. Through AI-driven innovation, we can move from vulnerability to vitality—building smarter, safer, and stronger systems that protect both people and progress.


Some key takeaways included:
  1. The Human Imperative of Infrastructure Resilience: Infrastructure is not just about roads or buildings—it underpins the stability of everyday life. Its failure has profound human consequences, as underscored by a personal account shared during the session, where a tropical storm posed an imminent threat to a local community. With natural disasters projected to cost up to US$460 billion annually by 2050, the urgency is clear. Yet, within this risk lies opportunity. AI can shift the narrative—from reacting to crises to anticipating them, from slow recovery to rapid response. It offers a path to transform vulnerability into resilience—intelligently, efficiently, and at scale.
  2. Listening to the Next Generation: A Shifting Public Consciousness: According to Deloitte’s annual Gen Z and Millennial survey, over 70% of young people have recently experienced extreme weather—shaping their worldview, spending habits, and expectations of institutions. For this generation, climate resilience is not abstract policy but a lived necessity. Infrastructure, therefore, is no longer just a technical challenge; it’s a matter of public trust. Resilient design has become a social contract—one that demands accountability, transparency, and forward-thinking action from governments and businesses alike.
  3. AI as a Strategic Asset: Three Phases of Transformation: The presentation centered on a practical, results-driven framework showing how AI enhances infrastructure resilience across three phases: planning, response, and recovery. In the planning stage, AI simulates risks and guides smarter infrastructure design—as demonstrated in Florida, where an AI-powered platform integrates real-time data to model urban development, traffic flow, and emergency access. During disaster response, AI enables rapid threat detection and coordination. A digital twin project in India reimagined waste management, reducing emissions, costs, and health risks. In recovery, AI accelerates damage assessment—cutting repair time and material waste through drone-based 3D mapping, ultimately protecting lives when every minute matters.
  4. Collaboration, Not Isolation: A Global Imperative: The session made clear: resilient infrastructure demands collective action. Governments, industry, and financiers must align to embed AI at scale. Yet rising unilateralism—especially from powerful actors like the U.S.—threatens global cohesion. The warning was subtle but firm: without inclusive cooperation, resilience efforts risk fragmentation. The future must be shaped by shared leadership, not digital isolationism.

(Reporting by Peter Maundu, CUTS International, Geneva)
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