Artificial intelligence (AI) refers to the ability of computer systems to perform tasks which normally require human intelligence. It is a very broad field that encompasses theories and developments in computer science, cognitive science, mathematics, philosophy, neuroscience, linguistics and more. There are three main types of AI, including:
Most of us have been using AI in our everyday lives for quite a while. For example, Siri and Google Translate are examples of Artificial Narrow Intelligence, which is AI capable of completing single tasks like checking the weather or finding a video on to play on YouTube. But AI is also being used in more complex and exciting ways within businesses and institutions across the world. Watch this video from Ted-Ed below that provides a quick explanation of how AI works, how AI is currently being used, and possibilities for the future.
Find links below to key reports and publications on the current use of AI and its implications:
Interest in and analysis of generative AI has exploded in the last few months with the arrival of OpenAI's ChatGPT and other generative AI tools like the image generator DALL-E 2. Generative AI is able to generate new data, such as text, images and audio, that is similar to existing data by responding to written prompts provided by the user. Many commentators and experts believe that ChatGPT is a game-changer, especially for learning and research as it has made the possibilities of generative AI accessible en-masse for the first time. Universities and other institutions are therefore working on how to respond to the challenges and opportunities generative AI presents and how it can be used in teaching, learning and research.
See the video below for a quick explainer of how ChatGPT and other generative AI tools operate:
See the links below for resources with information that will help you build your understanding about ChatGPT and other generative AI tools: