We often hear that Artificial Intelligence is present in a lot of aspects of our daily lives. Is this true though? Not sure? Let’s accompany Anna through her day and see whether this is true.
6:34 am Anna wakes up. We didn’t hear an alarm sound putting an abrupt end to her sleep. Instead, she is wearing a smartband on her wrist. This band recognizes her movement, her heart rate and other sensory data that form her sleeping patterns. It wakes her with a gentle vibration, exactly in a phase of shallow sleep, so that she feels refreshed and vital the moment she wakes.
7:15 am Anna likes to read some news while having breakfast. It is always good to know what’s going on in the world. She picks up her phone and opens up her news feed. Wait a minute. Didn’t she have to unlock her phone? Oh right. It uses a face recognition AI and automatically unlocks for authorized users. Isn’t that convenient? Furthermore, her news app has learned her preferences over time and only highlights those news that actually are relevant to her, which makes it very efficient for her to be up-to-date.
7:40 am The news have been too captivating so Anna is late for work. The only way she can manage to get there on time now is by hailing an Uber. She tells Alexa to call an Uber for her. Alexa carries out her command while Anna puts on her shoes and luckily, the ride is there almost instantly. How lucky she is. Or is it because Uber tries to predict the frequency of rides and the directions to be prepared for the upcoming demand?
7:42 am Anna rushes out of her home and into the Uber. She didn’t turn out the lights, nor did she check the heater. But that’s no problem. Her smart home appliances turn the lights out shortly after she has left and turn down the heating automatically. Still she can be sure that, despite the cold weather outside, her home will be warm and cozy when she returns. Her smart heating has learned the usual patterns of Anna being at home and in case that should be different one day or the other, Anna can still control everything remotely using an app on her phone.
8:05 am After she arrives at the office, she usually checks her email. One email says: “Easy trick to become a Bitcoin millionaire”. This message has somehow managed to pass the line of defense of her spam protection, which filters out spam, and reliably categorizes other emails like ads and social media. Anna marks the suspicious, previously unseen email as spam and the spam filter learns, refines its rules and is better prepared for future incoming mails.
10:54 am Anna receives an email from a business partner with a meeting request. She is glad to meet, and confirms the meeting. She puts her assistant Amy into cc to schedule the meeting. Amy, however, is not a real person. Amy is an AI connected to her calendar that carries out the communication with the business partner until a suitable time slot has been found.
11:46 am Anna receives a call from her bank. She is told that there has been a suspicious transaction on her credit card and this call is to verify that it was legit. She made a day-trip across the border a couple of days ago and instantly remembers that she had spent a fair amount shopping for clothes and verifies the transactions. The fraud detection system may have misfired here, but she can still be happy that it is keeping track of her expenses and alerts for any irregular and suspicious activities.
2:27 pm Suddenly, there is some movement in Anna’s home while she is busy at the office. Her vacuum cleaner has turned on and is now autonomously moving around her apartment and cleaning the floors. It uses machine learning algorithms to simultaneously build an internal map of the environment and localize itself in it (SLAM), and thereby be able to better plan its routes through the rooms.
4:31 pm Anna is alarmed by her office chair that her sitting position is not healthy and the accompanying app shows her how she can adapt her position. The chair has sensors included and from the distribution of Anna’s weight on the sensors it can infer the sitting position and alarms whenever she is sitting badly or remains in one position for too long.
8:02 pm It has been a long and tiring day and Anna just likes to lay back and watch a movie on Netflix. She has started a new TV series yesterday and she can’t wait to continue today. Though she had never heard of the series before it has been recommended to her by the system with a nice personalized artwork that spoke to her. And what a good recommendation that was. Anna calls it a day and that’s where we leave her to her series.
These are just some of the many examples of how AI is changing our daily life. How many of these AI and machine learning cases do you recognize? How many do you use in your own life?
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