Throughout our daily lives we have many ways that we interact with AI technology. These technologies include facial recognition, automated vehicles, and video games. While the benefits of these technologies are obvious, we may not be as prepared to deal with them as we would like.
During the past two years, LinkedIn has conducted algorithmic tests. In doing so, the social networking site has improved article recommendations and optimized its email responses to recruiters. Moreover, LinkedIn has improved the functionality of its direct messaging service. These changes could affect your job prospects, and have been criticized as a social engineering experiment.
The new algorithmic features on LinkedIn are aimed at making recommendations that are more representative of the overall talent environment. They also provide data that firms may not otherwise have access to. These features include a reranking of the top search results to increase the number of representational results.
Amazon
Whether it is the latest smartphone or smart home devices, Artificial Intelligence (AI) is now infiltrating our daily lives. The finance industry relies on it for fraud protection and customer service. eCommerce is also heavily reliant on it for improving the customer experience.
Alexa, the virtual assistant built by Amazon, processes billions of interactions a week. This includes asking a question, receiving a reply, and responding naturally. It also considers time of day, location, and the expected traffic.
While this sounds convenient, it generates huge amounts of data. Amazon has stored voice recordings for years. These recordings are used to improve Alexa. However, Amazon doesn’t disclose how it trains its AI.
eBay
Using AI technology in our daily lives has helped fuel an explosion of efficiency, while providing us with a more personalized experience. We’ve seen it in eCommerce, as well as in our homes. It’s also a great way to identify fraudulent activity.
You may not have seen it, but your smartphone is already using artificial intelligence to do everything from monitoring your location to receiving and transmitting important news. It’s also used to store knowledge, and communicate between you and others.
Another example of AI in your daily life is Autonomous Vehicles. Companies like Tesla are already using AI to make their cars semi-autonomous. It’s also used by Google to give you smart search suggestions.
Uber
Using Artificial Intelligence (AI) isn’t just limited to computers. It’s also used in cars and travel aids. You may be familiar with Google Duplex, an AI-powered service that allows you to book a table at your favorite restaurant.
Another example is Google Maps, which uses AI to calculate the shortest route and warn you of traffic delays. It also uses machine learning to learn your commute patterns. In the future, AI might help reroute traffic and prevent gridlock.
Other navigation services, such as Uber and Lyft, use machine learning to recommend a route that’s likely to be less stressful for you. They also use AI to determine the quickest and cheapest pickup locations, as well as the best delivery times.
Face ID
Earlier this year, Apple introduced its Face ID system on the iPhone X. This technology, which is similar to Touch ID, uses a series of cameras and sensors to create a 3-dimensional map of your face. The system is designed to make unlocking an iPhone easier and more secure.
Although this new technology is a game changer for the tech industry, there are a number of questions about it. Tech professionals must be ready to address these questions and explain Face ID to their customers.
The “FAST” (Facial Analysis System for Targeting and Prediction) project used facial analysis to detect “mal-intent” and “deception”. The system supposedly predicted violent behavior. It cost the Department of Homeland Security millions of dollars.
Autonomous vehicles
Whether you’re looking for travel assistance, a personal assistant or a smart home, Artificial Intelligence is transforming our daily lives. It isn’t surprising that AI is growing in importance. The ability to analyze vast amounts of data and determine patterns is what gives AI its power.
For example, Google Lens can be used to search through images. The technology is built on AI and uses neural networks to identify patterns in data. The information provided by Google Lens is accurate and precise.
Another example is Uber, which uses machine learning to determine the best pickup locations, rider demand and pricing. It is also used to improve UberEATS.
Video games
Increasingly, developers are using Artificial Intelligence (AI) to create a more immersive gaming experience. Whether it’s through visual data handling, natural language processing, or creating new virtual environments, AI is enabling game developers to deliver better games, faster.
For example, AI is used in FIFA game’s ultimate team mode to simulate the personality of each player. It also predicts how the weather will affect the game, and the effects of player choices. This is a good example of AI helping to create a more interactive narrative.
Another example is AI Dungeon 2. This text-based fantasy simulation uses AI algorithms to create endless possibilities. In addition, it uses neural networks to create an experience tailored to each player.