Artificial intelligence Flashcards
what is artificial intelligence?
The ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings
what are the two most popular methods for robots to learn?
-machine learning
-pattern matching
what are the main categories of machine learning?
-supervised learning
-unsupervised learning
-reinforcement learning
-deep learning
what is supervised learning?
where you teach the computer system
what is unsupervised learning?
where you let the computer system learn by itself
what is reinforcement learning?
where computer systems learns by trial and error
what is deep learning?
where the computer system uses hierarchical or contextual techniques to learn
what is the goal of each category of machine learning?
to “teach” a computer program to apply generalised rules to data sets and yield useful results
what are the challenges of artificial intelligence?
-cost
-technology options (hard to know what to pick)
-inability to predict ROI
-culture clash (changes will be viewed as suspicious)
what are algorithms the underpinnings of?
surveillance, online search engines, corporate security,
modern matchmaking and many other activities in
both the private and public sector
what can algorithms be the source?
-competitive advantage
-play an operational role
-drive marketing
-basic information needs
what are algorithms?
A process or set of rules to be followed in calculations
or other problem-solving operations, especially by a
computer
what does CRUSH stand for?
Criminal Reduction Utilising Statistical History
what does CRUSH do?
Predictive policing, i.e. police officers guided by
algorithms.
how does CRUSH work?
Compiled crime statistics from across the city over time and overlaid it with other datasets – social housing maps, outside temperatures etc – then instructed algorithms to search for correlations in the data to identify crime “hot spots”
what are the key drivers for expanding the use of AI?
-advances in machine learning
-deep learning
-natural language processing
what does the transformation of Ai span?
-automation
-augmented intelligence
-ethics
-environmental sustainability
-democratisation
what is generative AI?
AI systems capable
of producing new content (e.g., text, images, code,
music) by learning patterns from existing data.
what is Generative AI’s role in digital transformation?
-Enhances efficiency and innovation in processes,
products, and services.
-Enables automation of creative and knowledge-
intensive tasks
Use cases of GenAi in digital transformation:
-content creation
-customer experience (chatbots)
-software development
-healthcare
-education
-design and manufacturing
what are the challenges of Generative Ai?
-hallucinations
-bias in data
-IP and Copyright issues
-security risks (phishing, fraud, deepfakes)
-interpretability and transparency (hard to understand decisions)
GenAI opportunstes in digital transformation:
-augmented Ai
-enhanced productivity
-faster innovation
-hyper-personalisation
-cost efficiency
what is the future of generative AI in digital transformation?
-integration with other technologies
-ethics and governance
-continuous learning
-focus on augmented AI
-impact on business models
