Artificial Intelligence - Week 13 PDF

Artificial Intelligence LIVING IN THE IT ERA - WEEK 13 Prepared by: Ms. Cristine Joy L. Hacildo Instructor Learning Objectives: 1.To understand and appreciate the role of AI; 2.To be familiar with AI terminologies; and 3.To compare AI with human intelligence and traditional information processing...

Artificial Intelligence LIVING IN THE IT ERA - WEEK 13 Prepared by: Ms. Cristine Joy L. Hacildo Instructor Learning Objectives: 1.To understand and appreciate the role of AI; 2.To be familiar with AI terminologies; and 3.To compare AI with human intelligence and traditional information processing and discuss its strengths and limitations. Artificial Intelligence (AI) is a branch of computer science concerned in making computers behave like humans do. IT Trends and Issues: Artificial Intelligence 3 It was in a 1951 paper that Alan Turing proposed a test called “The Imitation Game”. The game involved no computer intelligence whatsoever. Imagine three rooms, each connected via computer screen and keyboard. In one room sits a man, in the second a woman, and in the third sits a person who will serve as the "judge" who will decide as to which of the two people talking to him through the computer is the man. Turing proposed a modification of the game. Instead of a man and a woman as contestants, a human of either gender at one terminal, and/or a computer at the other terminal will participate. The game has recently been modified so that there is only one contestant, and the judge's job is not to choose between two contestants, but simply to decide whether the single contestant is human or machine. 5 GAME PLAYING refers to programming computers to play games such as chess and checkers. The most common AI for game playing is chess. IBM had developed a computer chess player named Deep Blue which won over the defending world champion Gary Kasparov in 1997. Application of AI Game playing- 1997- IBM’s Deep Blue defeated world chess champion Garry Kasparov. 6 Speech recognition is a technology where computers recognize human language to perform such task. 7 Understanding natural language allows computers to understand natural human languages. Research are still working in progress in developing systems that converse in natural language, perceive and respond to their surroundings, and encode and provide useful access to all human knowledge and expertise. Natural-language processing offers the greatest potential rewards because it would allow people to interact with computers without needing any specialized knowledge. You could simply walk up to a computer and talk to it. Unfortunately, programming computers to understand natural languages has proved to be more difficult than originally thought of. - Language Understanding Enabling AI systems to comprehend and interpret human language, including context and nuance. - Multilingual Capabilities Advancing NLP techniques to support a diverse range of languages and cultural contexts. - Conversational Abilities Developing AI chatbots and virtual assistants that can engage in natural, intuitive dialogue. Personalized Interactions Tailoring AI responses to individual users' needs and preferences for a more personalized experience. 8 Computer vision makes useful decisions about real physical objects and scenes based on sensed images. This is to make images and objects as real as it can be. At present, there are only limited ways of representing three-dimensional information directly, and they are not as good as what humans evidently use. 9 Expert systems refer to programming computers to make decisions in real life situations such as helping doctors diagnose disease based on symptoms. Many expert systems help human experts in such fields as medicine and engineering, but they are very expensive to produce and are helpful only in special situations. 10 The following are various types of web sites to choose and search from. Perplexity AI – offers unlimited basic searchers and up to 5 Pro searchers per day for free. It provides quick answers and detailed insights from a wide ranges of sources. Consensus offers a free plan that allows users to search through over 200 million research papers and get AI-generated insights and summaries. Quizgecko – allows the user to create and share quizzes easily. It uses AI to generate quiz questions from any text, making it a great tool for studying and test preparation. Gamma AI – offers a free tier that allows users to create and share presentations, documents, and web pages. It includes AI-powered features for content editing, image search, and reformatting. Edpuzzle– allows users to create interactive video lessons by embedding questions, notes, and audio into videos. Podcastle AI – converts text into high-quality audio, which is great for turning readings into podcasts that you can listen to on the go. Mymap AI – generates mind maps from users notes and ideas, helping the user visualize and organize their thoughts more effectively. Socratic AI – designed by Google to help students with homework by providing explanations, videos, and step-by-step solutions. Fotor – allows the user to create images from text for free. FutureMe – is a unique tool that allows users to write letters, reminders or anything else to their future self. It can be a great way to set goals, reflect on your progress, and capture your thoughts for future reflection. Autonomous Systems: From Vehicles to Robotics Perception Enabling autonomous systems to perceive and interpret their surroundings through sensors and computer vision. Decision-Making Developing robust AI algorithms to make real-time decisions and navigate complex environments. Control Integrating autonomous control systems to precisely operate vehicles, robots, and other automated machinery. Ethical Considerations: Ensuring Responsible AI Development 1 Bias and Fairness Addressing potential biases in AI systems to ensure equitable and unbiased decision-making. 2 Privacy and Security Safeguarding personal data and implementing robust security measures for AI-powered applications. 3 Transparency and Accountability Developing AI systems with clear decision-making processes and mechanisms for oversight and responsibility. 4 Human-AI Interaction Ensuring AI technologies enhance and empower human capabilities, rather than replace or displace them.