SAN FRANCISCO: Apple on Wednesday removed an app that protesters in Hong Kong have used to track police movements, saying the app violated its rules because it was used to ambush police and by criminals who used it to victimize residents in areas with no law enforcement.
Apple rejected the crowdsourcing app, HKmap.live, earlier this month but then reversed course last week, allowing the app to appear on its App Store. The approval drew a sharply worded commentary criticizing Apple in the Chinese Communist Party’s official newspaper, the People’s Daily.
Apple said in a statement that “many concerned customers in Hong Kong” contacted the company about the mapping app. Apple said it immediately began investigating the app’s use and found it “has been used in ways that endanger law enforcement and residents in Hong Kong.”
“The app displays police locations and we have verified with the Hong Kong Cybersecurity and Technology Crime Bureau that the app has been used to target and ambush police, threaten public safety, and criminals have used it to victimize residents in areas where they know there is no law enforcement,” the statement said.
Under Apple’s rules and policies, apps that meet its standards to appear in the App Store have sometimes been removed after their release if they were found to facilitate illegal activity or threaten public safety.
In 2011, Apple modified its app store to remove apps that listed locations for drunken driving checkpoints not previously published by law enforcement officials.
Apple removes police-tracking app used in Hong Kong protests from its app store
Apple removes police-tracking app used in Hong Kong protests from its app store
- Crowdsourcing app HKmap.live violated rules because it was used to ambush police and by criminals
- Apple: ‘Many concerned customers in Hong Kong’ contacted the company about the mapping app
WEF report spotlights real-world AI adoption across industries
DUBAI: A new report by the World Economic Forum, released Monday, highlights companies across more than 30 countries and 20 industries that are using artificial intelligence to deliver real-world impact.
Developed in partnership with Accenture, “Proof over Promise: Insights on Real-World AI Adoption from 2025 MINDS Organizations” draws on insights from two cohorts of MINDS (Meaningful, Intelligent, Novel, Deployable Solutions), a WEF initiative focused on AI solutions that have moved beyond pilot phases to deliver measurable performance gains.
As part of its AI Global Alliance, the WEF launched the MINDS program in 2025, announcing its first cohort that year and a second cohort this week. Cohorts are selected through an evaluation process led by the WEF’s Impact Council — an independent group of experts — with applications open to public- and private-sector organizations across industries.
The report found a widening gap between organizations that have successfully scaled AI and those still struggling, while underscoring how this divide can be bridged through real-world case studies.
Based on these case studies and interviews with selected MINDS organizations, the report identified five key insights distinguishing successful AI adopters from others.
It found that leading organizations are moving away from isolated, tactical uses of AI and instead embedding it as a strategic, enterprise-wide capability.
The second insight centers on people, with AI increasingly designed to complement human expertise through closer collaboration, rather than replace it.
The other insights focus on the systems needed to scale AI effectively, including strengthening data foundations and strategic data sources, as well as moving away from fragmented technologies toward unified AI platforms.
Lastly, the report underscores the need for responsible AI, with organizations strengthening governance, safeguards and human oversight as automated decision-making becomes more widespread.
Stephan Mergenthaler, managing director and chief technology officer at the WEF, said: “AI offers extraordinary potential, yet many organizations remain unsure about how to realize it.
“The selected use cases show what is possible when ambition is translated into operational transformation and our new report provides a practical guide to help others follow the path these leaders have set.”
Among the examples cited in the report is a pilot led by the Saudi Ministry of Health in partnership with AmplifAI, which used AI-enabled thermal imaging to support early detection of diabetic foot conditions.
The initiative reduced clinician time by up to 90 percent, cut treatment costs by as much as 80 percent, and delivered a 10 time increase in screening capacity. Following clinical trials, the solution has been approved by regulatory authorities in Saudi Arabia, the UAE and Bahrain.
The report also points to work by Fujitsu, which deployed AI across its supply chain to improve inventory management. The rollout helped cut inventory-related costs by $15 million, reduce excess stock by $20 million and halve operational headcount.
In India, Tech Mahindra scaled multilingual large language models capable of handling 3.8 million monthly queries with 92 percent accuracy, enabling more inclusive access to digital services across markets in the Global South.
“Trusted, advanced AI can transform businesses, but it requires organizing data and processes to achieve the best of technology and — this is key — it also requires human ingenuity to maximize returns on AI investments,” said Manish Sharma, chief strategy and services officer at Accenture.
