I will say that AI and big data are overused terms, especially in the media, but we are concerned with both. We'll discuss some of these methods later, since a lot of the abuse we see comes from the utilization of these tools. Deep Learning is a subset of Machine Learning, and mostly encompasses tools such as Deep Neural Networks right now. And in fact, it encompasses both those fields. Artificial Intelligence, AI, which is more than Machine Learning and Deep Learning. So I wanna take a moment to discuss a little bit on how they are different. And just so we are all on the same page, I will use these terms interchangeably in this course. Throughout this course, I'll throw out terms such as big data. We will examine various AI Machine Learning techniques that can be used to counter balance the potential abuse and misuse of learning from big data with the focus on the positive impacts of these technologies on society. The goal of this course is how do we design algorithms that effectively deal with the large amounts of data that are used to train them, while ensuring their outcomes aren't well, misused. But you can also see how it can go very wrong. You can see how some of these decisions could provide a positive result, a positive impact. User profiling for policing purposes and to predict whether they should let you out of jail or keep you in and identifying risks of developing mental health problems. Approving applicants for loans, their rates, how much? Bank credit, credit cards, predicting your levels of risk for insurance, determining if they should even insure you because of health risk, or provide you with any health benefits. They're being used to filter applicants for jobs and college admissions. Why does this matter? AI Machine Learning algorithms are being deployed by organizations to make many many decisions that impact us in direct ways in our everyday lives. The rate of increasing these numbers grows every day, every month, every year. Google, now processes more than 40,000 searches every second. Instagram users post almost 50,000 photos that's every minute of the day. Almost 500,000 tweets are sent on Twitter. Users watch 4 million, over 4 million YouTube videos. More than 120 professionals join LinkedIn. Every minute of the day, Snapchat users share over 500,000 photos. If you look at the year 2019, we see that there is 2.5 quintillion bytes of data created each day. And at the end of this course, I hope that you really care about the impact that the data has and the algorithms that are deployed that deal and address that data. It really is about what you're doing with it. It really doesn't matter what your definition is, or whether you even believe that big data is big and massive. These two quotes from well respected individuals really defines what it is that we're talking about when we say big data. The definition of big data? Quote, who really cares? It's what we're doing with it. L102_WhatIsBigData > So, what is Big Data? Big data is the term increasingly used to describe the process of applying serious computing power the latest in Machine Learning and Artificial Intelligence, AI, to seriously massive and often high complex sets of information. After watching this video, take a look at what China is doing with the social credit system.
This might seem like the scenes of your nightmares, but it's becoming our living reality. In the US, we see these types of systems being integrated at airports, for border patrol, and in schools, to also monitor for possible offenders. Jaywalking, running a red light, being late on bills, any little mistake that you can make in life could impact your future opportunities. China, for example, has instituted a social credit system to keep a critical eye on their citizens everyday behavior. Well, now science fiction is becoming a reality. L101_China's Social Credit System > Remember those old science fiction movies, ones like the minority report where your every move is monitored, your daily habits are carefully screened, and based on your profile, only certain jobs are made available to you.
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