But if you take this ability to build AI systems that can learn and you combine it with the masses of data, and we talked about big data earlier this morning in Stephen Toope's introduction, data is being collected all the time. Sometimes we're conscious of it. Sometimes we're not. We have masses of data and we now have masses of sophisticated AI algorithms that can learn from that data. Plus, we have affordable computing power and memory.

What happens? What does the learner receive? What happens if we have deep fake videos out there where it looks like it's Saul or it's me or it's Tim or it's Usha talking to people, but it's not. It's looking like us, but it's not. It's somebody else. And it's saying stuff we don't, we wouldn't say. We really have to start worrying about a lot of this stuff.In a globally competitive environment, the need to rapidly transition from an innovative idea to a viable product necessitates that 21st Century engineers and scientists think and act in an entrepreneurial manner. Not everyone must be interested in starting a technology-based company, but it is important to understand the business requirements of technology commercialization. These skills help students become leaders. Without getting too far into technicalities (which you can find here) The Graph solves the complexities through a decentralized protocol that’s designed to index and enable the performance of efficient querying of the network data.

To prepare students for this new workplace, the Department of Engineering Management offers a minor in Entrepreneurial Studies to complement their undergraduate technical education.The five course curriculum (20 credits) introduces students to the fundamentals of an entrepreneurial mindset. Such a future will not be easy or uncontroversial. We need to confront the possible harm that such a pervasive, connected intelligence infrastructure could permit when misused or abused. Many consider AI to be a particularly critical piece of technology with transformative properties and the potential to change our society. It’s hard to pinpoint the exact moment of when the AI trend in the cryptocurrency market started, but it was somewhere around that time.

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Subjective intelligence, emotional, it relates to social intelligence, but not just our emotional intelligence, our understanding of our emotional intelligence, but the way it's developing and of its relationship to other people and their development of emotional intelligence. Enters ChatGPT. While many companies are working on their own AI-related products, a few months ago, OpenAI’s ChatGPT exploded in popularity, especially within the cryptocurrency industry. The goal is increased efficiency and productivity; you want to be able to slice through mountains of data in a short time, moving essentially from “discovery” to “action.” And you want to do this in a way that benefits your bottom line, which AI increasingly does. What should you do next? If you take this ability to build AI systems that can learn and you combine it with big data and modern computing power - that creates the ‘perfect storm’ that we're now in where AI is having a huge impact on our lives and increasingly education. Human intelligence Let's take the very basic definition of artificial intelligence: Technology capable of actions and behaviours that require intelligence when done by humans. Very basic. There are many ways of looking at defining artificial intelligence, and lots of controversy between those working in this area about the right definition. But I think this is good for today.