Artificial Intelligence simplified is creating software that allows a computer act as a human being intellectually and emotionally. AI is all around us. From Apple’s Siri to Google’s predictive searches, artificial intelligence is already present in our daily lives. However, we have only scratched the surface of the potential uses of AI. Artificial Intelligence is increasingly becoming some of the most valued technology because of the different ways in which the technology can be applied. The increased interest in how AI can detect emotions is leading the way for major breakthroughs in many industries including security, automobiles, and retail.
From Apple’s Siri to Amazon’s Alexa, AI’s speech and voice recognition is just the beginning of what these artificial robots can do. Speech recognition (tone, volume, etc.) is key in determining the emotion of the speaker. Artificial Intelligence speech recognition uses “text-to-speech” software which essentially puts together words and phrases from pre-recorded files of a particular voice. Siri and Alexa know a lot more about you than just the fact that you don’t like their jokes. Alexa can recognize the tone in your voice and determine if you are happy, sad, frustrated, etc. Amazon gives an example that if you tell Alexa you are hungry and Alexa can recognize that you have a sniffle in your voice, Alexa will have the knowledge to offer soup recipes. Alexa would also know to target ads that relate to food and sickness. For example, Alexa could suggest Panera’s soups. AI speech recognition is creating a new space for targeted advertising. Speech recognition is just one way emotions are detected. To get a better sense of the power of speech recognition, see Lyrebird’s artificial voice creation of Barack Obama.
Another way Artificial Intelligence can determine emotions is through facial recognition. The simplelist example is when someone smiles, they are happy. Deep Learning is used to improve the accuracy of facial recognition. Xi Zhang and Xiaolin Wu conducted a study to see whether they could build facial recognition software that could determine if someone was a criminal or not. They fed their facial recognition software images of criminals and non-criminals and then feeding it the correct answer. Soon enough, Zhang and Wu’s software could determine if a person was a criminal based solely on facial recognition with a 90% accuracy. This criminal detecting software has the potential to help improve security throughout the world.
The power of facial recognition can be used in many helpful ways, like unlocking your iPhone, but also raises ethical concerns. The facial recognition software also presents the issue of bias. If the facial recognition software is only fed images of people of a certain ethnicity or gender, then the software is going to be biased. Imagine finding out that you have the facial attributes of a criminal.
Affectiva – Automotive AI
Affectiva, an emotion measurement technology company, uses behaviors, cognitive states, and interactions to help determine the emotion of a person. Their latest product, Automotive AI, identifies the emotional and cognitive state of the driver and passengers to improve the experience of transportation and to help improve road safety. Automotive AI is designed to be used in semi-autonomous vehicles and eventually complete autonomous vehicles. One of Affectiva’s goals for the Automotive AI is to improve road safety. For example, if the driver is recognized to be distracted, the software can signal the driving machine to take appropriate action. This would help build trust between the driver and the car. Affectiva’s Automotive AI is also designed to detect the driver and the passenger’s mood. Once a mood is identified, the software is able to recommend music to play, or the dimness/color of the lights in the car. Affectiva has created potentially life-saving technology that could redefine the way we drive.
There are many concerns around the idea of a robot detecting emotions. Emotions are a very personal affair and some people might not like their emotions being tracked and stored. Some people might argue that emotions should be kept private and should not be stored in a database.
The possibilities are endless for the uses of artificial intelligence especially through identifying emotions. AI could potentially identify the symptoms of an anxiety attack and contact the appropriate people or play specific music to calm the victim down. As “Barack Obama” mentioned in the video, Lyrebird’s AI technology can help give a voice to people who have lost theirs. Artificial intelligence can be used in the retail industry (with the help of CCTV cameras) to detect a customers body language and potentially identify the customer’s intent or concerns. Did person A keep coming back to look at a product? Did they buy it? Were they looking at other items as well to compare? The questions are endless and AI can help us answer some of those questions.
Artificial Intelligence emotion classification can help make our world a safer place. If a automobile has Affectiva’s Automotive AI installed and it detects that a passenger is uncomfortable and nervous, it could potentially save that person’s life by contacting the appropriate authorities. Affectiva plans on developing software to determine if a driver is under the influence of alcohol or drugs. If the system can identify that, it could prohibit the car from driving and potentially save people’s lives.