Unit 3 Artificial Intelligence Flashcards
(31 cards)
Define Artificial Intelligence (AI).
The ability of a computer or machine to perform tasks associated with intelligent beings, such as learning, problem solving, decision making, and creativity.
What is the Turing Test?
A method to determine whether a machine can exhibit intelligent behaviour indistinguishable from a human, proposed by Alan Turing.
Are we transforming AI, or is AI transforming us?
Both—AI shapes human behaviour and decisions, while humans develop and advance AI technologies.
What are two popular machine learning methods?
Machine learning and pattern matching.
What are the main categories of machine learning?
Supervised learning, unsupervised learning, reinforcement learning, and deep learning.
What is supervised learning?
A method where the computer is trained with labeled data.
What is unsupervised learning?
A method where the computer finds patterns without labeled outcomes.
What is reinforcement learning?
Training a system by trial and error to maximize rewards.
What is deep learning?
A technique using hierarchical models to learn complex patterns in large datasets.
Give examples of AI practical applications.
Speech recognition, NLP, recommendation systems, diagnostics, categorisation, prediction, analysis, autonomous vehicles.
What is the risk of relying only on data for decision-making?
It can limit innovation and overlook opportunities without existing data.
What is the Coca-Cola Cherry Sprite case study about?
Using AI and big data to create a new product, but highlighting how over-reliance on data can delay innovation.
Why should data not be the sole decision-making tool?
Data includes assumptions and cannot replace human intuition or eliminate risk.
What is an algorithm?
A step-by-step process for solving problems or performing tasks, especially by computers.
How are algorithms influencing society?
They impact surveillance, hiring, matchmaking, search engines, and decision-making processes in business and government.
What is predictive policing (CRUSH)?
Using algorithms and data analytics to predict crime hotspots and direct police patrols.
Why should algorithms be scrutinised?
They influence critical decisions but often lack transparency, affecting fairness and accountability.
List some pros of AI integration.
Increased productivity, enhanced decision-making, personalised experiences, faster innovation, cost efficiency.
List some cons of AI integration.
Bias in data, hallucinations, intellectual property risks, security threats, lack of transparency.
What is Generative AI (GenAI)?
AI systems capable of creating new content such as text, images, code, and music by learning from existing data.
Give examples of Generative AI.
GPT, DALL-E, Stable Diffusion.
How does GenAI enhance digital transformation?
By automating creative and knowledge-intensive tasks, speeding innovation, and enabling personalisation.
What challenges does GenAI face?
Hallucinations, bias, copyright issues, security risks, and lack of transparency.
What is augmented AI?
A collaboration model where humans and AI work together to improve decision-making and creativity.
