Report 6 - Machine Learning & AI

1. What is Artificial Intelligence (AI)

AI is the capability of machines to perform tasks that typically require human intelligence, often using Machine Learning to analyze large datasets.

2. What is Machine Learning (ML)

ML enables computers to perform tasks by learning from prior examples, identifying patterns in data to make predictions or decisions.

3. What are the three main types of Machine Learning

Supervised learning, unsupervised learning, and deep learning.

4. How does supervised learning work

It uses labeled datasets to train models to classify or predict outcomes.

5. What is unsupervised learning used for

It analyzes unlabeled data to uncover hidden structures or patterns, such as customer segmentation or anomaly detection.

6. What is deep learning

A subfield of ML that uses artificial neural networks to identify hierarchical features in data, enabling tasks like image recognition and natural language processing.

7. What hardware supports ML algorithms

Specialized hardware like Graphical Processing Units (GPUs) and Neural Processing Units (NPUs).

8. How does AI benefit individuals in the workplace

It automates repetitive tasks, allowing individuals to focus on strategic, creative work and increasing job satisfaction.

9. How does AI enhance accessibility and inclusion

By personalizing services in healthcare, finance, and retail, and extending services to underserved populations through scalability.

10. How do organizations use AI and ML

They drive innovation, automate operations, support data-driven decision-making, and enable new business models.

11. What is an example of AI transforming a business model

Netflix evolved from DVD rentals to a personalized streaming platform using ML for content recommendations and production planning.

12. How do nonprofits benefit from AI

Through AI-enabled chatbots, donor analysis, and process automation to improve efficiency and outreach.

13. What is the societal value of AI

AI contributes to economic growth, supports healthcare diagnostics, climate modeling, disaster response, and improves public services.

14. How is AI used in healthcare

It supports diagnostics, personalized medicine, and treatment planning by analyzing imaging and patient data.

15. How does AI support transportation and smart mobility

It powers autonomous driving systems like Tesla’s Autopilot and optimizes traffic and city planning.

16. How is AI used for social good

Organizations like Omdena use ML for poverty mapping, disaster response, and expanding access to justice through legal chatbots.

17. How does AI enhance fraud detection and security

It detects anomalies and suspicious behavior in real time across banking, e-commerce, and cybersecurity.

18. What makes AI adaptable across industries

Its ability to learn from data and continuously improve performance makes it suitable for healthcare, finance, manufacturing, and environmental monitoring.