The Turing Test: A test of a machine’s ability to exhibit intelligence comparable to a human; the ability to determine the difference between a machine and a human.

• AI is “the science and engineering of making intelligent machines, especially intelligent computer programs.” — John McCarthy, the man who coined the term artificial intelligence

• Artificial intelligence has a long history.

• Artificial intelligence is capable of performing functions like learning, reasoning, perceiving, problem solving, and understanding language.

Solution: re-evaluate what, why, and how educators are teaching

1. more student collaboration (debates, group projects/presentations)

2. project-based, student directed learning

3. creating posters

4. game play to review material

5. math - could use AI to create math problems, using AI to test results

6. social studies - AI to create alternative history realities and discuss as a class

7. science - use chatbot to adopt the voice of a famous scientist and discuss their discoveries

8. use AI to edit writing, practice vocabulary, provide individualized tutoring.

• Expert systems and machine learning problem solve in different ways.

• Machine learning allows machines to improve with experience.

• Machine learning impacts our lives: inside and outside the classroom.

Machine Learning (ML): The process of giving a computer a sample set of data, so that it can “learn” by making associations between data and draw conclusions without the need to program explicit instructions.

Machine learning model: A mathematical representation of a dataset developed by AI, which can be used to support AI reasoning and problem solving.

Deep Learning: A subset of machine learning in which multilayered neural networks learn from vast amounts of data.

Image understanding: The ability to extract features from images to match features in models.

Neural networks: A computer system patterned after the operation of neurons in the human brain that use layers of nodes with weighted, directed connections to learn to perform tasks. Also referred to as artificial neural networks (ANN).

Algorithmic bias: when algorithms have outcomes that are unfair in a systematic way

Speech Recognition: The ability for a computer to correctly identify spoken words

Voice Recognition: The ability for a computer to identify the specific voice that is speaking.

Natural Language Processing (NLP): The interactions between computers and humans using natural language, in particular the programming of computers to effectively process large amounts of natural language data. 

Voice experience: An interaction with a device that recognizes, processes, and responds to natural language.