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Post 1 Uber
Uber recently has made changes to keep its uber riders and customers safe. The
mobile app through the company will add a emrgency 911 button similar to a panic
button. This button would connect riders directly with emergency personal and
would share its location with the operator. Uber will also strengthen up its driver
screening as well. The will issue annual background check to their drivers in
response. Also, Uber plans on allowing its riders to share the status of their rides
with up to five users. That way each ride will have an extra set of eyes to ensure
that the ride will go safely. These changes will go info effect in the summer and will
last moving forward.
To me this is huge. Uber is a very well know app that has a lot of everyday
customers. Even I have used Uber on numerous occasions. A big knock on Uber has
been its safety. Often we find ourselves looking at cases were Uber rides have gone
wrong for passengers from the results of bad drivers. Customers have always felt
that uber put very low interest in the background of its drivers and this lessons that
feeling. Also when sending under the influence friends home the fact that they can
share their ride is great because sometimes people need an extra set of eyes
looking out for them. Hopefully this will cut down on the uber rides go bad and will
give them a competitive advantage over its competition. With uber leading all
apps on this update it will be interesting to see what others will do to keep pace.
post 2 AI predicts crime
Artificial Intelligence brought about promise in various aspects starting from
predicting the weather to piloting autonomous cars. But recently, in India AI is being
used to predict crimes before it happens. Cortica formed a partnership with Best
Group in India to analyze terabytes of CCTV streaming footage from public areas in
order to predict and prevent crimes with goals to improve safety in public places.
The software used is based on the security screening systems used by military and
government to identify terrorists by monitoring real-time footage. It is already
common for law enforcement cities like London and New York to employ facial
recognition and license plate matching as part of their video surveillance, but these
kinds of screening are done manually. AI takes is further by detecting ‘behavioral
anomalies’ which indicates whether an individual is about to commit a crime.
‘Behavioral Anomalies’ such as micro-expressions (minuscule twitches or
mannerisms that can predict a person’s nefarious intentions) can be missed by the
human eye, but are easily detectable for AIs.
AI such as this is a predictive crime software and would allow a city to prevent
potentially dangerous situations before anyone is hurt, but in the wrong hands can be
abused. Such technology is also bringing about anxiety about privacy and personal
Quain, J. R. (2018, April 11). Crime-predicting A.I. isn’t science fiction. It’s about to
roll out in India. Retrieved April 13, 2018, from https://www.digitaltrends.com/cooltech/could-ai-based-surveillance-predict-crime-before-it-happens/

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