Impact of Emerging Technologies

What is artificial intelligence (AI)?

• A type of computer virus

• Simulation of human intelligence in machines

• A form of virtual reality

• A method of data encryption

Name one real-world application of artificial intelligence.

• Toothbrushes

• Autonomous vehicles

• Smartphones

• Refrigerators

What are the potential benefits of using artificial intelligence?

• Automation, efficiency, personalization, decision-making, innovation

• Inefficient decision-making, outdated practices, lack of innovation

• Manual processes, slower operations, lack of customization

• Increased costs, decreased productivity, limited capabilities

What are the potential risks or challenges associated with artificial intelligence?

• Lack of technological advancement, high cost, and limited applications.

• Job displacement, privacy concerns, bias and discrimination, lack of transparency, and ethical considerations.

What is machine learning and how does it relate to artificial intelligence?

• Machine learning is a technique used to create artificial intelligence robots.

• Machine learning is the process of teaching computers to think and learn like humans.

• Machine learning is a subset of artificial intelligence that focuses on the development of algorithms and models that allow computers to learn and make predictions or decisions without being explicitly programmed.

• Machine learning is a type of computer programming language used in artificial intelligence.

What are some examples of machine learning algorithms used in artificial intelligence?

• linear regression, logistic regression, decision trees, random forests, support vector machines, k-nearest neighbors, naive Bayes, and neural networks

• linear regression, logistic regression, decision trees, random forests, support vector machines, k-nearest neighbors, naive Bayes, and neural networks

• linear regression, logistic regression, decision trees, random forests, support vector machines, k-nearest neighbors, naive Bayes, and neural networks

• linear regression, logistic regression, decision trees, random forests, support vector machines, k-nearest neighbors, naive Bayes, and neural networks

What is the difference between narrow AI and general AI?

• Narrow AI and general AI are the same thing.

• Narrow AI is less intelligent than general AI.

• Narrow AI is designed for specific tasks, while general AI can perform any intellectual task.

• Narrow AI is designed for general tasks, while general AI can perform specific tasks.

How can artificial intelligence impact the job market?

• Artificial intelligence can only create low-skilled jobs.

• Artificial intelligence has no impact on the job market.

• Artificial intelligence will completely replace all human jobs.

• Artificial intelligence can impact the job market by automating tasks, increasing productivity, creating new job roles, and potentially displacing certain jobs.

What ethical considerations should be taken into account when developing and using artificial intelligence?

• Transparency, fairness, privacy, accountability, and societal impact

• Security, reliability, scalability, and performance

• Speed, innovation, productivity, and convenience

• Accuracy, efficiency, profitability, and competitiveness

What are some current trends and advancements in artificial intelligence?

• deep learning, natural language processing, computer vision, reinforcement learning, and explainable AI

• Data mining, cloud computing, and chatbots

• Genetic algorithms, expert systems, and autonomous vehicles

• Machine learning, robotics, and virtual assistants