High School Students And Teachers Share Opinions On AI Usage

High School Students And Teachers Share Opinions On AI Usage

Preparation Tech encouraged attendees to respond to a series of straw polls during our online session on “AI Futures (for high school students)” on March 11 during the Mozilla Foundation’s MozFest 2021 to gauge their thoughts on the use of AI and its associated ramifications, implications, and ethics. (During the session, 25 participants were present.)

Participants believe that human knowledge is more valuable than technology, hold engineers accountable for the effects of the technology they create, and 100% of them believe that governments should control the use of artificial intelligence (AI).

1. Machine Learning-Based Prediction Algorithms and Recommender Systems

Speaking about how many online businesses are powered by AI and machine learning is Soraya Hausl, Chief Data Scientist of Carra, an online individualized hair care service. To make educated guesses about what consumers want and need, data scientists use prediction algorithms to create suggestions. Below are the findings from the polls on suggestions produced by machine learning High School Students.

What concern do you have the most about prediction-making algorithms for High School Students?

– 43% = bias (racial, gender, cultural, etc) (racial, gender, cultural, etc. High School Students)

Privacy violations amount to 28% of High School Students.

14% of predictions were inaccurate for High School Students.

– 14% = insufficient data High School Students

Are prediction and recommendation systems impairing our capacity for independent thought and decision-making?

– 60% = yes \s- 40% = no

Who is accountable if an internet service suggests a certain product and it has a negative impact?

The recommender system’s AI engineer and data scientist made up 67% of the workforce.

33% of consumers should be aware of the risks.

2. Humanoid robots with social intelligence

Hanson Robotics founder and CEO, David Hanson, discussed how his team is using artificial intelligence (AI) and machine learning to create robots that can replicate human movement, speech, facial expressions, and mental processes. Below are the findings from the surveys on humanoid robots.

Is it appropriate to give robots life? 100% = no

How can we determine whether a robot has social intelligence?

50% if they display emotion

50% if they can ask questions.

Which sectors should employ socially intelligent robots first?

25% of the scale is education. 25% go to health, 25% to the arts, and 25% to caregiving (elderly, children)

none – policing/military

What do you believe robots will do if AI gives them the ability to think for themselves?

challenge humans by 67%

– 33% – Assist people.

3. AI and machine learning-based smart farming technology

Robotics and computer vision are being used by Blue River Technologies, according to Jen Selby, a machine learning engineer, to make farming more sustainable. Their “See & Spray” technology recognizes weeds and can selectively target them. Here are the findings from the surveys on agricultural technology that incorporates AI.

What or who is the most crucial element for farming’s future?

Farmers make up 83%, while 17% of technologists.

What is the main benefit of applying AI to farming?

Reduced use of dangerous chemicals by 50% (herbicides, pesticides, etc.)

The capacity to feed more people (33%).

A 17% rise in the number of plants has been observed.

What is the main drawback of applying AI to farming?

33% of farmers and farm laborers will lose their employment, and 50% will. – 17% of small-scale farmers’ traditional expertise would be lost; – small-scale farmers won’t be able to buy AI-driven technology.

Who is liable if a consumer consumes weeds brought to a store by “smart” farming equipment that fails to recognize and kill them and becomes ill as a result?

Technologist, 100%

AI has been incorporated into teaching and learning in various ways, however, the adoption of new instructional technology depends heavily on the attitudes of the teachers who are in charge of the lesson for High School Students.

Due to instructors’ general lack of experience with how AI can be used in the classroom and their general lack of knowledge about what AI-adopted tools might look like, very few academics have looked at how teachers perceive the use of AI in High School Students.

This study looked into how teachers viewed a scaffolding system boosted by AI that was created to help students write scientifically for STEM education. The findings showed that the majority of STEM teachers had favorable impressions of AI as a source for better scaffolding High School Students.

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