AI Flashcards

(35 cards)

1
Q

What is data-driven innovation?

A

Using data analysis and AI to discover opportunities, evaluate ideas, generate designs, and improve decision-making.

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2
Q

What are the four stages of data-driven innovation?

A
  1. Opportunity discovery
  2. Opportunity evaluation
  3. Design generation
  4. Design evaluation
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3
Q

How does data-driven innovation differ from a human-social approach?

A

Data-driven approaches rely on algorithms and data patterns, while human-social approaches rely on intuition, experience, and social understanding.

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4
Q

How is AI redefining business operations?

A
  • Automating manufacturing, transportation, and maintenance
  • Reducing costs (e.g. chatbots)
  • Improving cybersecurity
  • Supporting data-driven strategies
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5
Q

How does AI help businesses use big data?

A

By analysing large datasets to develop strategies, explore new markets, reach customers, optimise workflows, and reduce costs.

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6
Q

How does AI support personalisation in business?

A

AI personalises products, services, and offers using customer data (e.g. Booking.com, Uber).

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7
Q

Why is AI important for social media platforms?

A

AI analyses user data to personalise content, target advertising, and maximise engagement.

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8
Q

How is AI used in robotic surgery?

A
  • Analyses pre-operation medical data
  • Guides surgeons during procedures
  • Reduces hospital stays by around 21%
  • Commonly used in eye and heart surgery
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9
Q

What are virtual nursing assistants?

A

AI systems that interact with patients, monitor health, answer questions, and guide patients to appropriate care.

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10
Q

What benefits do virtual nursing assistants provide?

A
  • Available 24/7
  • Improve communication between visits
  • Reduce hospital readmissions
  • Could save the healthcare industry $20 billion annually
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11
Q

How does AI aid clinical judgement and diagnosis?

A
  • Detects diseases at human-level accuracy
  • Analyses speech, tone, and background noise
  • Can identify cardiac arrests more accurately than humans
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12
Q

What evidence supports AI’s diagnostic accuracy?

A
  • Stanford AI matched dermatologists in detecting skin cancer
  • Danish AI detected cardiac arrest with 93% accuracy vs 73% for humans
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13
Q

How does AI help with administrative healthcare tasks?

A
  • Automates documentation and scheduling
  • Uses voice-to-text transcription
  • Could save $18 billion by reducing staff workload
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14
Q

How is AI used in medical image analysis?

A
  • Analyses 3D scans up to 1,000× faster than humans
  • Supports real-time surgical decisions
  • Improves radiology and telemedicine
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15
Q

When was OpenAI founded and why?

A

Founded in 2015 to ensure artificial general intelligence benefits all humanity.

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16
Q

What major change occurred at OpenAI in 2019?

A

It transitioned from a non-profit to a capped-profit model to attract investment.

17
Q

What is the GPT series?

A

A series of increasingly advanced language models (GPT-1, GPT-2, GPT-3) that led to ChatGPT.

18
Q

When was ChatGPT launched?

A

November 2022 as a public prototype.

19
Q

How is ChatGPT trained?

A

Using large datasets including books, websites, and text sources to understand and generate language.

20
Q

How is ChatGPT used in customer support?

A

Automates FAQs, troubleshooting, and provides 24/7 customer service.

21
Q

How does ChatGPT improve employee productivity?

A

Acts as a virtual assistant for scheduling, email drafting, and information retrieval.

22
Q

How does ChatGPT support data analysis?

A

Summarises datasets, generates reports, and provides data-driven insights.

23
Q

How does ChatGPT help businesses reduce costs?

A

By automating repetitive tasks and improving operational efficiency.

24
Q

What is “epistemia” in AI systems?

A

AI decisions are driven more by statistical patterns and lexical association than true reasoning.

25
What problem arises from unreliable online data?
AI models may learn false or biased information, leading to high error rates.
26
What are key concerns about AI use?
- Absence of emotions - Over-dependence on machines - Risk of misuse - Lack of human judgment - Potential unemployment
27
Why is AI ethics important?
AI systems can amplify bias, behave unpredictably, and create unintended consequences at scale.
28
What is a “black-box algorithm”?
An AI system where decision-making processes are not fully transparent or explainable.
29
What example shows unintended consequences of AI systems?
Traffic apps reduce highway congestion but create traffic in residential areas.
30
What does “human-centric and socially beneficial” AI mean?
AI should support human goals and benefit society, not just efficiency or profit.
31
What does fairness mean in AI ethics?
AI systems should be impartial, legitimate, and avoid discrimination or bias.
32
Why is explainability important in AI?
Users should understand how AI decisions are made, though not all systems can be fully transparent.
33
What does “secure and safe” AI involve?
Protecting data privacy while ensuring systems operate safely and responsibly.
34
Who is responsible for ethical AI today?
Developers and organisational leadership, as ethics cannot yet be fully built into AI systems.
35