University:
Boston University
Course:
MET CS 201 | Introduction to Programming
Academic year:

2022
Views:

277

Pages:

12
Author:

yack2mucharrh

ARTIFICAL INTELLIGENCE Hi, I'm Gadget cONTeNTS 1 What is Artificial Intelligence? 2 How is machine learning related? 3 Examples of AI 4 What problems can AI solve? 5 Disadvantages of AI 6 How can we use AI responsibly? 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. how does machine Learning Relate to Ai? Although the terms artificial intelligence (AI) and machine learning are frequently used interchangeably, (machine learning is a subset of the larger category of AI. ) 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. EXAMPLES Virtual Assistance Autonomous vehicles Chatbots E-commerce AI can be used for various situations, but these are some examples of AI in our daily life. 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. WHAT PROBLEMS CAN AI SOLVE? Cybersecurity → dectecting 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 It can help make data safer and more secure. For example, face authentication can ensure that only the appropriate person has access to sensitive information that is intended specifically for them. Medical diagnosis Customer service Provides more exact Customer service teams diagnoses, detects can get feedback from hidden patterns in customers by using AI. imaging investigations, For example, AI- and predicts how powered information patients will respond to can provide agents with specific medications. This leads to better intent, language, and treatment strategies, fewer clinical errors, and more accurate diagnosis. information on client sentiment so they are aware of how to approach an encounter. Recommendation systems 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. what are the disadvantages of AI? Lack of Transparency → lying about using AI Bias and Discrimination → assumtion based of incorrect information Privacy Concerns → Ethical Dilemmas Security Risks Concentration of Power Dependence on AI Job Displacement 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 REsponsible Ai USe AI can help do repetitive work for humans, but humans should still be prioritized. Create a culture that utilizes creativity, empathy, and dexterity from humans and AI for increased efficiency. Businesses should adopt strong security measures, limit access to sensitive data, and anonymize data whenever possible to secure data privacy with AI and ML technologies. There needs to be fairness in AI which entails identifying and eliminating discrimination while also encouraging diversity and inclusion. This is can be done by using training models with equal representation. Develop explainable AI that is visible across processes and functions to generate trust among employees and customers. Provide examinability, comprehension, and traceability. Thanks for listening! Any questions?