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kmill139

Big Brother is watching: Chinese city with 2.6m cameras is world's most heavily surveil... - 0 views

www.theguardian.com/...worlds-most-heavily-surveilled

technology tech security

shared by kmill139 on 07 Oct 21 - No Cached
  • The city’s surveillance system scans facial features of people on the streets from frames of video footage in real time, creating a virtual map of the face. It can then match this information against scanned faces of suspects in a police database. If there is a match that passes a preset threshold, typically 60% or higher, the system immediately notifies officers. Three days later the police captured the man, who eventually admitted that he was the suspect.
  • With 2.58m cameras covering 15.35 million people – equal to one camera for every six residents – Chongqing has more surveillance cameras than any other city in the world for its population, beating even Beijing, Shanghai and tech hub Shenzhen.
    • kmill139
      kmill139 on 07 Oct 21
       
      In the near future you will be able to find camera anywhere you go
  • Eight of the 10 most surveilled cities in the analysis are in China. London ranked sixth with 627,707 cameras covering 9 million residents and Atlanta, Georgia, came 10th with 7,800 cameras for 501,178 people.
  • ...11 more annotations...
  • Many crimes committed in a certain area of Chongqing were committed by non-residents, so facial recognition cameras were seen as a way to combat this.
  • But critics warn such widespread surveillance violates internationally guaranteed rights to privacy. To meet international privacy standards enshrined in the International Covenant on Civil and Political Rights, both collection and use of biometric data should be limited to people found to be involved in wrongdoing, and not broad populations who have no specific link to crime. Individuals should have the right to know what biometric data the government holds on them. China’s automated facial recognition systems violate those standards.
  • “These systems are being developed and implemented without meaningful privacy protections against state surveillance. The depth, breadth and intrusiveness of the Chinese government’s mass surveillance on its citizens may be unprecedented in modern history.”
  • Cities elsewhere may not be too far behind China’s mass surveillance.
  • media access control address of users’ smartphone devices, a request sent when a device is searching for a wifi connection, to track their travel journeys precisely. It was only after the media raised awareness of the project that TfL widely informed its passengers.
  • “With the rise of things like facial recognition, that is why we need new legislation that decides what is in the public’s interest and the legal structure within which they can be used. We shouldn’t drift there by accident.”
  • And part of that is building trust with the community based on good community information, not on Big Brother technology.”
  • Since then, two more Californian cities, Oakland and Berkeley, have also passed bans on all government use of facial recognition technology. Somerville, Massachusetts, passed a similar law this summer.
  • Some people support facial recognition on the basis that technology has always driven change and is a force for good if used responsibly and proportionately.
  • Omanovic argues that live facial recognition fundamentally threatens free societies. “It might start with the monitoring of just a few thousand people but it definitely won’t end there,” says Omanovic. “Authorities need to permanently ban its roll out now before it’s too late.”
  • “Singapore has plans to install 100,000 facial-recognition cameras on lampposts, Chicago police have asked for 30,000 more, and Moscow intends to have 174,000 by the end of this year.”
  • kmill139 on 07 Oct 21
     
    Super important and relevant article about how big brother is watching us
llibe010

5 ways AI and robots will affect future travel | Flash Pack - 1 views

www.flashpack.com/...bots-will-affect-future-travel

AI travel agent hospitality hotel software

shared by llibe010 on 08 Nov 22 - No Cached
  • We accepted driverless trains very easily – London’s DLR, for example, has been trundling around without drivers since 1987. Driverless cars we’ve been more sceptical about, but seem to have made peace with their inevitability (aids for human drivers like lane assist are pretty much standard in every new car). But if either of those concepts blows your mind and/or has you feeling a little uneasy in the pant department, just wait until you board a pilotless aeroplane! That’ll feel completely fine, right? But it will almost certainly happen – it kind of does now, to an extent
  • The Vdara Hotel & Spa in Las Vegas uses two robot ‘butlers’ to deliver room service. This Chinese company claims to have created an AI receptionist. Even hotel mega-giants Hilton experimented with a Watson-powered robot concierge called Connie
  • an omnipresent army of artificially intelligent travel agents who can find the perfect holiday for you, powered by deep learning and a vast collective knowledge of everything travel-related except what it feels like to get sunburnt
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  • recognition, be it facial or cornea or fingerprint, could soon be your way through passport control: it’s already being trialled at Changi airport in Singapore
  • You might have heard of smart cities. Super-connected, intelligently-planned urban conurbations aimed at making life an absolute dream, both now and in the future, through the use of technology
  • And while ‘more planes’ doesn’t sound very environmentally friendly, that AI technology can be used to make all kinds of transport more efficient. Fewer empty planes and trains, less stacking over airports, more intelligent planning of onboard catering (no more fish dishes = less food waste IMO – who eats them?) – it all helps the goal of green tourism
  • llibe010 on 08 Nov 22
     
    The article discusses 5 potential use cases of artificial intelligence with a focus on travel and hospitality. The first example is of driverless vehicles and airplanes and the second speaks of AI receptionists and robot concierges. Other examples include AI-powered travel agents that use deep learning and create customized holiday packages for guests in the future. Biometric recognition as a replacement for passports has also been discussed along with using AI for green tourism. In general, the article highlights the role of AI technologies in improving travel efficiency and sustainability while acknowledging that there are pitfalls and that these technologies still require years of development.
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