Artificial Intelligence Presentation PDF

Summary

This presentation covers Artificial Intelligence (AI), exploring its capabilities, benefits, potential drawbacks, and responsible use. It details examples of AI applications and encourages using AI as a tool to enhance human efficiency and productivity.

Full Transcript

# ARTIFICAL INTELLIGENCE By: Tagibergenova A ## CONTENTS - What is Artificial Intelligence? - How is machine learning related? - Examples of AI - What problems can AI solve? - Disadvantages of AI - How can we use AI responsibly? ## 1. WHAT IS AI? - Artificial Intelligence is the ability for a comp...

# ARTIFICAL INTELLIGENCE By: Tagibergenova A ## CONTENTS - What is Artificial Intelligence? - How is machine learning related? - Examples of AI - What problems can AI solve? - Disadvantages of AI - How can we use AI responsibly? ## 1. WHAT IS AI? - Artificial Intelligence is the ability for a computer to think, learn and simulate human mental processes, such as perceiving, reasoning, and learning. - It can also independently perform complex tasks that once required human input. ## 2. HOW DOES MACHINE LEARNING RELATE TO AI? | | | | |---|---|---| | **AI** | **Machine Learning** | **Comment** | | Artificial intelligence signifies computers' general ability to mimic human thought while carrying out tasks in real-world environments. | Machine learning implies to the technologies and algorithms that allow systems to recognize patterns, make decisions, and improve themselves through experience and data. | Although the terms artificial intelligence (AI) and machine learning are frequently used interchangeably, machine learning is a subset of the larger category of AI. | ## 3 EXAMPLES AI can be used for various situations, but these are some examples of AI in our daily life. - Virtual assistance - Autonomous vehicles - Chatbots - E-commerce - Recommendation systems - Navigation apps - Facial recognition - Text editors ## SOFIA THE AI ROBOT Sophia is a realistic humanoid robot capable of displaying humanlike expressions and interacting with people. It's designed for research, education, and entertainment, and helps promote public discussion about AI ethics and the future of robotics. ## 4 WHAT PROBLEMS CAN AI SOLVE? | | | |---|---| | **Problem** | **Example** | | Cybersecurity | detecting spam | | Healthcare | medical records | | Research | idea generation, finding data | | Transportation | self-driving cars | As shown above, AI can solve a LOT of problems. Let's explore a few on the next slide! ## USES OF AI (ADVANTAGES OF AI) | | | | |---|---|---| | **Image and facial recognition** | **Medical diagnosis** | **Customer service** | | - It can help make data safer and more secure | - Provides more exact diagnoses, detects hidden patterns in imaging investigations, and predicts how patients will respond to specific medications. This leads to better treatment strategies, fewer clinical errors, and more accurate diagnosis. | - Customer service teams can get feedback from customers by using AI. For example, AI-powered information can provide agents with information on client intent, language, and sentiment so they are aware of how to approach an encounter. | | - For example, face authentication can ensure that only the appropriate person has access to sensitive information that is intended specifically for them. | | | | | | |---|---| | **Recommendation systems** | **Comment** | | - AI content recommendations help people stay engaged and informed. | - For example, Virtual(Siri and Alexa.), Personalized content on streaming platforms, Apps that suggest best routes based on traffic. | ## 5 WHAT ARE THE DISADVANTAGES OF AI? - Lack of Transparency - Lying about using AI. - Bias and Discrimination - Assumption based on incorrect information. - Privacy Concerns - Ethical Dilemmas - Security Risks - Concentration of Power - Dependence on AI - Job Displacement ## 6 HOW CAN WE USE AI RESPONSIBLY? People should use their own creativity, not copy off of AI! AI is just a tool for efficiency! | | | |---|---| | **Put People First** | **Consider data and privacy goals** | | **Minimize unintended bias** | **Ensure AI transparency** | ## THANKS FOR LISTENING! Any questions?

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