A system that can perform all tasks in place of humans

A system capable of deep data analysis and decision-making

A robot that can move and work automatically

Technology used only for creating images and videos

AI that helps develop websites and applications

AI used only for statistical data analysis

AI that controls machinery in factories

AI that can create new content like text, images, and sound

Inability to understand the context of questions at all

Inability to process data faster than humans

Possibility of providing biased or incorrect information due to training data

Inability to work with external software or APIs

Data or command input for AI processing

Software for AI development

Hardware to run AI systems

Network used for AI connectivity

Input short and concise commands for fast responses

Use clear context commands with desired outcome examples

Let AI generate random answers and choose the best

Use ambiguous commands for AI interpretation

Makes information more accessible to learners

Reduces learning opportunities

Makes learning content too complex

Can only be used in science fields

Uses input data to search for answers from existing databases

Uses logical calculations to always produce factual responses

Generates new data by learning patterns from existing data through large model training

Uses fixed rules to produce outcomes as programmed

Amount and quality of data used for model training

User's ability to ask questions

Internet speed used for connection

Number of times AI is used daily

Check with reliable sources every time before responding

Use filters and developer-set rules to limit harmful answers

Allow users to set their own restrictions on AI responses

AI has no protection system; it's up to the user to filter information

Developing complex algorithms without control

Training models with higher quality data and reducing learning biases

Reducing model size to speed up performance without regard to accuracy

Using AI to replace all human tasks