3 stages of developing AI literacy: recognize AI, use AI, build AI
Computers perceive by extracting meaning from sensory signals. The computer sensors are analogous to the human senses. Examples of types of perception include speech recognition and computer vision.
2.Agents maintain representations of the world and use them for reasoning
Agents in AI can learn and execute tasks. Take internet search as an example, the representations it maintains are the content of web pages. The reasoning it has is to choose which pages to return in response to a query.
3.Computers can learn from data
Machine learning can enhance personal experience and be applied in different industries. For example, train your phone to recognize your face or fingerprint, or train a speech recognition system for business purposes.
4.Intelligent agents require many types of knowledge to interact naturally with humans
Humans are among the hardest things for AI agents to understand. Intelligent agents, such as Alexa and Siri, must have attained many types of knowledge to interact naturally comparable to people.
5.AI applications can impact society in both positive and negative ways
AI technologies are changing business, education, healthcare and government. Applications of AI are an economic driver that makes new services possible and business much more convenient. On the other hand, ethical standards are necessary for AI systems to reduce ethical risks such as data leakage. AI will change the way people work, eliminate some jobs, but at the same time create new jobs.