The content of this page is currently only accessible to administrators. Please log in with your administrator account to view the content. Training Part 2: Artificial Intelligence Show Progress Topic 1 – Introduction Topic 1 – Introduction Topic 2 – Neuronal Networks Topic 2 – Neuronal Network Topic 2 – Proper use and limitations Topic 2 – Proper use and limitations Complete Complete Topic 1 – Introduction Welcome to this brief tutorial on artificial intelligence. Why is a basic understanding of this technology necessary when using it is so simple? The simple answer is: To make the most of something, it’s important to understand how it works. After this training, you certainly won’t be an expert on the subject. However, you will likely discover new aspects and perspectives that, at best, will spark your interest in exploring the topic in greater depth. To that end, we’ve included a variety of links and videos on the slides. The first part of this training session focuses on defining what AI actually is and how the AI technologies we encounter in our daily lives fit into the broader picture. Next Topic 1 – Introduction Please navigate through the slides, take the time to understand the content, and internalize it to the greatest extent possible. Once you have completed the content, please proceed to the question section by clicking on “Exercises” below. You may refer to this introduction at any time. General Definition It is difficult, if not impossible, to define the concept of artificial intelligence in a single sentence. Even within the scientific community, no single definition has gained widespread acceptance. This is not surprising, since human intelligence itself cannot be clearly defined. Here are a few common definitions: Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of humans, such as the ability to reason. Although there are as of yet no AIs that match full human flexibility over wider domains or in tasks requiring much everyday knowledge, some AIs perform specific tasks as well as humans. source: https://www.britannica.com/ The capability of a machine to imitate intelligent human behavior, or the theory and development of computer systems able to perform tasks that typically require human intelligence. source: https://www.englishclub.com/ Artificial intelligence (AI), is a term coined in 1955 by John McCarthy, Stanford’s first faculty member in AI, who defined it as “the science and engineering of making intelligent machines.” Much research has human program software agents with the knowledge to behave in a particular way, like playing chess, but today, we emphasize agents that can learn, just as human beings navigating our changing world. source: https://hai.stanford.edu/ Strong AI and Weak AI Imagine there’s a robot that schedules appointments for you, handles annoying calls, cleans up the mess in your apartment—all while making sure you still know your way around, don’t lose track of things, and know where everything is. Plus, this robot is always your best friend; you can tell it anything, and it understands me, listens to me, and gives me what I need. Unfortunately, that’s still a long way off. The AI we have available today can, unfortunately, only handle the specific tasks it has been trained for. This brings us to the difference between strong and weak AI. Weak AI, also called narrow AI, is capable of performing a specific task that it’s designed to do. Strong AI, on the other hand, is capable of learning, thinking and adapting like humans do. That said, strong AI systems don’t actually exist yet. source: https://www.britannica.com/ Strong AI and Weak AI Here are the typical characteristics of strong and weak AI, as well as a comparison of cases where the term “AI” does not apply at all. Strong AI has self-awareness and self-reflection possesses general problem-solving skills ability to set goals independently ability to adapt to new situations does not yet exists Weak AI known as Narrow AI are developed and trained to solve specific tasks no consciousness, no true understanding human innervation is still required, for example for maintance represents the current state of existing AI examples are chatbots, recommendation systems, image classification, etc. No AI an algorithm that follows a set of rules arithmetic operations a machine that follows the laws of mechanics examples are watch, calculator, switches, etc. Subfields of AI Many of us think of AI as traditional chatbots like Chat GPT. In reality, the field of AI encompasses many more subfields. We likely only come into indirect contact with many of these areas in our daily lives and are therefore unaware of them. Here is a simple diagram showing key aspects of AI. It is highly simplified, by no means exhaustive, and is intended only to provide an overview. Computational Intellicence (CI) Is the main Subtopic of AU ToDo More Text Neuronal Networks ToDo: Subfield of CI inclues known AI technologies …… Other… There are many other areas that fall under the umbrella of AI and CI. The average user usually encounters these only indirectly. The diagram on the right shows just a selection of them. It is intended to illustrate the scope and diversity of the term AI. However, the following discussion will not delve further into the subfields outside of neural networks. Ipsl Upsl Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet. Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet. Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam