G5-THE-ROLE-OF-ARTIFICIAL-INTELLIGENCE.pptx
- 1. The Role of AI and Automation in Shaping Online Interactions Group 5
- 2. Table of Contents I. The Artificial Intelligence II. The 4 types of AI III.The History of Artificial Intelligence IV.The Role of AI in Learning & Development V. The Future Trends and Possibilities of AI VI.The AI Benefits and Dangers
- 3. I. The Artificial intelligence • Artificial intelligence is a specialty within computer science that is concerned with creating systems that can replicate human intelligence and problem-solving abilities. • Although the term is commonly used to describe a range of different technologies in use today, many disagree on whether these actually constitute artificial intelligence. Instead, some argue that much of the technology used in the real world today actually constitutes highly advanced machine learning that is simply a first step towards true artificial intelligence, or “general artificial intelligence” (GAI).
- 4. AI Examples • At the simplest level, machine learning uses algorithms trained on data sets to create machine learning models that allow computer systems to perform tasks like making song recommendations, identifying the fastest way to travel to a destination, or translating text from one language to another. Some of the most common examples of AI in use today include: 1. ChatGPT: Uses large language models (LLMs) to generate text in response to questions or comments posed to it. 2. Google Translate: Uses deep learning algorithms to translate text from one language to another. 3. Netflix: Uses machine learning algorithms to create personalized recommendation engines for users based on their previous viewing history. 4. Tesla: Uses computer vision to power self-driving features on their cars.
- 5. II. The 4 Types of AI Here’s a summary of each AI type, according to Professor Arend Hintze of the University of Michigan: 1. Reactive Machines • Reactive machines are the most basic type of artificial intelligence. Machines built in this way don’t possess any knowledge of previous events but instead only “react” to what is before them in a given moment. As a result, they can only perform certain advanced tasks within a very narrow scope, such as playing chess, and are incapable of performing tasks outside of their limited context.
- 6. II. The 4 Types of AI 2. Limited Memory Machines • Machines with limited memory possess a limited understanding of past events. They can interact more with the world around them than reactive machines can. • For example, self-driving cars use a form of limited memory to make turns, observe approaching vehicles, and adjust their speed. However, machines with only limited memory cannot form a complete understanding of the world because their recall of past events is limited and only used in a narrow band of time.
- 7. II. The 4 Types of AI 3. Theory of Mind Machines • Machines that possess a “theory of mind” represent an early form of artificial general intelligence. In addition to being able to create representations of the world, machines of this type would also have an understanding of other entities that exist within the world. As of this moment, this reality has still not materialized.
- 8. II. The 4 Types of AI 4. Self-aware Machines Machines with self-awareness are the theoretically most advanced type of AI and would possess an understanding of the world, others, and itself. This is what most people mean when they talk about achieving AGI. Currently, this is a far-off reality.
- 9. III. The History of AI • The idea of “artificial intelligence” goes back thousands of years, to ancient philosophers considering questions of life and death. In ancient times, inventors made things called “automatons” which were mechanical and moved independently of human intervention. • The word “automaton” comes from ancient Greek, and means “acting of one’s own will.” One of the earliest records of an automaton comes from 400 BCE and refers to a mechanical pigeon created by a friend of the philosopher Plato. Many years later, one of the most famous automatons was created by Leonardo da Vinci around the year 1495.
- 10. III. The History of AI JOHN MCCARTHY Computer scientist GEOFFREY HINTON God-father of AI ALAN TURING Computer scientist Creators and Founder of AI
- 11. III. The History of AI Groundwork for AI: 1900-1950 • In the early 1900s, there was a lot of media created that centered around the idea of artificial humans. So much so that scientists of all sorts started asking the question: is it possible to create an artificial brain? Some creators even made some versions of what we now call “robots” (and the word was coined in a Czech play in 1921) though most of them were relatively simple. Birth of AI: 1950-1956 • This range of time was when the interest in AI really came to a head. Alan Turing published his work “Computer Machinery and Intelligence” which eventually became The Turing Test, which experts used to measure computer intelligence. The term “artificial intelligence” was coined and came into popular use.
- 12. III. The History of AI AI maturation: 1957-1979 • The time between when the phrase “artificial intelligence” was created, and the 1980s was a period of both rapid growth and struggle for AI research. The late 1950s through the 1960s was a time of creation. From programming languages that are still in use to this day to books and films that explored the idea of robots, AI became a mainstream idea quickly. AI boom: 1980-1987 • Most of the 1980s showed a period of rapid growth and interest in AI, now labeled as the “AI boom.” This came from both breakthroughs in research, and additional government funding to support the researchers. Deep Learning techniques and the use of Expert System became more popular, both of which allowed computers to learn from their mistakes and make independent decisions.
- 13. III. The History of AI AI winter: 1987-1993 • As the AAAI warned, an AI Winter came. The term describes a period of low consumer, public, and private interest in AI which leads to decreased research funding, which, in turn, leads to few breakthroughs. Both private investors and the government lost interest in AI and halted their funding due to high cost versus seemingly low return. AI agents: 1993-2011 • Despite the lack of funding during the AI Winter, the early 90s showed some impressive strides forward in AI research, including the introduction of the first AI system that could beat a reigning world champion chess player. This era also introduced AI into everyday life via innovations such as the first Roomba and the first commercially-available speech recognition software on Windows computers.
- 14. III. The History of AI Artificial General Intelligence: 2012-present • That brings us to the most recent developments in AI, up to the present day. We’ve seen a surge in common-use AI tools, such as virtual assistants, search engines, etc. This time period also popularized Deep Learning and Big Data..
- 15. IV. The Role of AI in Learning & Development • AI has been beneficial in a wide range of industries for things such as optimizing logistics, detecting fraud, composing art, conducting research, providing translations, and many other tasks. There’s hardly a field that has not benefited from AI.
- 16. IV. The Role of AI in Learning & Development 1. Identifying Knowledge Gaps • AI in Learning and Development can analyze huge data sets and derive conclusions using technologies like machine learning and predictive analysis. AI can also create learner profiles combining disparate data sources, something that will take days if done manually. It can successfully identify the skills missing in your employees, automatically, in a short time. 2. Suggest the Most Appropriate Content • AI can identify knowledge gaps and then automatically scan for the most appropriate content for the learner. All of us know how that works as we have all used Google to search for information. • Just like Google, AI can scan the internet, LMS, your proprietary content, and other sources to auto- suggest the most relevant content. This approach saves learners time as they don’t have to manually go through multiple pages of search results for hours.
- 17. IV. The Role of AI in Learning & Development 3. Creation of Digital Content • Creating educational content is time-consuming and challenging. For this reason, most enterprises outsource their content creation at a huge cost. AI can come in here and help organizations save time and cost. We discussed how AI can source information snippets and digital resources from the internet and other connected platforms. The same AI technology can also consolidate them and present them in an easy-to-understand manner. 4. Personalize Learning According to the Learner • AI can personalize learning according to the pace, age, gender, and demographics of the learner. It can release materials to the employee gradually as s/he finishes a chapter or a module.
- 18. IV. The Role of AI in Learning & Development 5. AI as a 24/7 Digital Tutor • AI eliminates the need for a human trainer to some extent. Your employees may have many questions while they are undergoing training or taking a new course. Most of these queries are common and standard for all learners. In traditional approaches, the employees would have to wait for the trainer to resolve their queries. This means they have to wait for the availability of the trainer. 6. Seamless Assessments and Instant Feedback • AI-driven tools can gather information, evaluate performance, check answer sheets, and provide accurate results. Employees can get feedback instantly and get to know how they performed. AI can be used to deliver any type of assessment as long as it’s digital. You can develop a range of assessment techniques and deliver them to your employees. Additionally, AI can even help personalize assessments. Most tests or quizzes are developed based on a ‘one-size-fits-all’ approach. They don’t consider IQ, skills, or other such factors.
- 19. IV. The Role of AI in Learning & Development 7. Developing Crucial Insights • AI can mine LMS data, and employee performance, collect feedback, and make way for a range of analytics. Enterprises can use the data to form insights into their learning and development. They can find out the effectiveness of courses, areas of improvement, and crucial trends and patterns. • The insight can help you refine your content, courses, and AI in training and development strategy for better results. AI can do the work of collecting data continuously so that you can always make informed business decisions.
- 20. V. The Future Trends and Possibilities of AI The Growing Influence of Artificial Intelligence on Social Media • AI has transformed social media by enhancing personalization and automation. Since Facebook’s 2012 use of facial recognition for photo tagging, AI has advanced to improve ad targeting, content recommendations, and chatbot interactions. • Today, these technologies help platforms deliver tailored and timely content, fostering deeper user engagement and stronger connections between brands and audiences.
- 21. V. The Future Trends and Possibilities of AI Trend 1: Enhanced Personalization and User Experience Artificial Intelligence (AI) is transforming social media by making it more user-friendly and enjoyable. Personalization is the key to providing an outstanding user experience, and AI is enabling it with the following trends: AI-Driven Content Recommendations Tailored Advertising and Promotions
- 22. V. The Future Trends and Possibilities of AI Trend 2: Advanced Sentiment Analysis and Social Listening AI is changing the way brands understand their customer's preferences and needs, assisting them in creating marketing strategies that resonate with their target audience. The following features have emerged as a result of AI: Understanding User Emotions and Intentions Real-Time Brand Monitoring and Reputation Management
- 23. V. The Future Trends and Possibilities of AI Trend 3: AI-Powered Chatbots and Customer Support In today's fast-paced world, customers expect instant gratification and quick solutions to their problems. This is where AI-powered chatbots come in, revolutionizing customer support services. The Rise of Conversational AI Improving Customer Engagement and Satisfaction
- 24. V. The Future Trends and Possibilities of AI Trend 4: AI-Generated Content and Creativity • AI-generated content combines automation and creativity to produce text, images, and media quickly. It enhances creative work by offering new ideas but raises concerns about potentially limiting human originality and redefining traditional authorship. Automated Content Creation AI-Assisted Design and Visuals
- 25. VI. The AI Benefits and Dangers • It’s a complicated picture that often summons competing images: a utopia for some, a dystopia for others. The reality is likely to be much more complex. Here are a few of the possible benefits and dangers AI may pose:
- 26. Thank You F O R Y O U R A T T E N T I O N