CA3_L6_Understanding Artificial Intelligence (AI)

Artificial intelligence (AI) is a field focused on creating machines that can perform tasks typically requiring human intelligence. Generative AI and machine learning are subfields of AI.

• Artificial intelligence (AI) is a field focused on creating machines that can perform tasks typically requiring human intelligence. Generative AI and machine learning are subfields of AI.

• Artificial intelligence (AI) is a field focused on creating machines that can only perform simple calculations. Generative AI and machine learning are unrelated to AI.

• Artificial intelligence (AI) is a field focused on creating machines that mimic animal behavior. Generative AI and machine learning are not part of AI.

• Artificial intelligence (AI) is a field focused on creating machines that require no intelligence. Generative AI and machine learning are separate fields.

Machine Learning technologies have both positive and negative impacts on organisations, individuals, and society. Which of the following best summarizes these impacts?

• Positive impacts include automation, improved decision-making, and efficiency; negative impacts include job displacement and privacy concerns.

• Positive impacts include increased manual labor and reduced efficiency; negative impacts include improved privacy and job creation.

• Positive impacts include decreased automation and poor decision-making; negative impacts include enhanced job security and privacy.

• Positive impacts include privacy concerns and job displacement; negative impacts include automation and improved decision-making.

The long-term implications of AI adoption in different sectors may include which of the following?

• Increased automation, changes in workforce requirements, ethical considerations, and societal transformation.

• Decreased technological advancement and reduced efficiency.

• Elimination of all ethical concerns in society.

• No impact on workforce requirements or societal structure.

Evaluate the long-term implications of AI adoption in different sectors. Real-World Application Example: Which of the following is a real-world application of Generative AI?

• AI-generated art

• Manual data entry

• Traditional painting

• Human-only customer service

Generative AI is a subfield of _______.

• AI

• Biology

• Chemistry

• Economics

Core Concept: GenAI models learn the underlying distribution and patterns of existing data to generate novel, unique, and often highly realistic outputs. Which of the following best describes the core concept of GenAI models?

• They copy existing data exactly

• They generate new, unique, and realistic outputs

• They only analyze data without generating outputs

• They delete old data

The long-term implications of AI adoption in different sectors include:

• Transformation of industries, changes in workforce requirements, ethical and regulatory challenges, and potential for both societal advancement and risks.

• Immediate elimination of all jobs and industries.

• No impact on society or industries.

• Only positive outcomes without any risks.

Fill in the blank: Automation of routine tasks in organisations helps in ________ operations and improving efficiency.

• streamlining

• complicating

• delaying

• hindering

Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. Generative AI refers to AI systems that can create new content, such as text, images, or music. Machine learning is a subfield of AI that enables machines to learn from data and improve their performance over time without being explicitly programmed.

• Artificial intelligence (AI) is the simulation of human intelligence processes by machines, generative AI creates new content, and machine learning enables machines to learn from data.

• Artificial intelligence (AI) is the creation of robots, generative AI analyzes data, and machine learning is about programming rules.

• Artificial intelligence (AI) is only used for games, generative AI is for music, and machine learning is for statistics.

• Artificial intelligence (AI) is the study of biology, generative AI is for drawing, and machine learning is for manual coding.

Fill in the blank: Personalised recommendations use AI to suggest content like movies, music, or shopping items based on ________.

• past behaviour

• random selection

• current weather

• device type