In recent years, concerns for unauthorized persons gaining access to schools has, unfortunately, drastically risen. Some security systems have been put in place, but they are generally a simple button to unlock the front door or gates, which schools have found to be problematic due to things such as tardy students that need be buzzed in and how often parents have to be buzzed in when picking up their children early.
Many AI researchers for major tech firms such as Google, Microsoft and Facebook have signed a letter to stop Amazon from giving away its facial recognition to law enforcement agencies mainly because that technology is biased towards people of color and women. A peer review study conducted by researchers at MIT revealed that Amazon’s facial recognition technology, known as Rekognition, has problems identifying females and dark skinned women. It mistakes women for men 19% of the time, and for women of color 31%.
Researchers from Stanford University tested two autonomous cars on the Thunderhill Raceway. The goal of the research is to develop a fast and safe racecar without a driver. A simple feedforward-feedback control structure is used for path tracking. In this structure, the car determines the steering angle and the current path curvature. The positioning was determined by the navigation aided by differential global navigation satellite system signals to obtain precise positioning. Additionally, neural networks are created for the autonomous cars to learn how to drive in different conditions with more precision and safety. Some factors such as weight transfer and tire relaxation are taken into account.
In December 2018, the Bridgeport Police Department officially launched the ShotSpotter – a system that detects gunfire and gives police officers instant access to shooting location maps, as well as information on how many shooters are present and how many shots were fired. The automated system uses computerized sensors placed on buildings and lamp posts throughout the city to detect gunfire. With this technology, police can better predict where shooting may occur, and, consequently, help officers respond more quickly to violence. The system is not a replacement for residents calling in shots fired. Moreover, the data collected can even help neighborhoods combat gun violence through promoting health programs in areas where gun violence usually happens. Despite how ShotSpotter does not have biometric scanning features like other police technologies, it does raise privacy concerns. Some people believe that the system will pick up and record conversations, while others believe it will eventually have more features added (including the ability to record conversations).
When people make ethical decisions, there is some degree of uncertainty. Algorithms, on the other hand, are programmed to achieve a singular mathematical goal, allowing little room for uncertainty. Because of this, they cannot deal with multiple, often competing, objectives and account for complex concepts such as “freedom” and “well-being”. Thus, it is nearly impossible for algorithms to make ethical decisions
50% of adults over the age of 85 require daily assistance for simple tasks. 90% of adults that age prefer to live at home over a nursing home. Yet, it’s difficult for them to live on their own, and for them to get assistance from other people.
With the growing cost of eldercare, the shortage in caregivers, and health challenges of the elderly, there is a need to find a more efficient way to care for the elderly population. Continue reading “Can Robots Take Care of the Elderly?”
Technology has been advancing at an incredible speed for the last couple of decades, and it shows no signs of slowing down anytime soon. Modern technology now is able to “predict” certain events through numerical data and analysis. One example of this is weather forecasting. GeoSpark Analytics is a relatively young company that provides their clients a different kind of forecast: threat assessment.