Intro to AI

Question 1

What are the 5 AI Workloads?

Answer 1

Machine learning - This is often the foundation for an AI system, and is the way we “teach” a computer model to make prediction and draw conclusions from data.

Anomaly detection - The capability to automatically detect errors or unusual activity in a system.

Computer vision - The capability of software to interpret the world visually through cameras, video, and images.

Natural language processing - The capability for a computer to interpret written or spoken language, and respond in kind.

Conversational AI - The capability of a software agent (usually referred to as a bot) to participate in a conversation.

Question 2

List some key AI related services in Azure

Answer 2

Azure Machine Learning - A platform for training, deploying, and managing machine learning models

Cognitive Services - A suite of services developers can use to build AI solutions

Azure Bot Service - A cloud-based platform for developing and managing bots

Question 3

What are the challenges and risks with AI?

Answer 3

Bias can affect results
Errors can cause harm
Data could be leaked
Solutions may not work for everyone
Users have to trust a complex system
Who takes responsibility for AI based decisions?

Question 4

What are the Principles of Responsible AI?

Answer 4

Reliability and Safety
Privacy and Security
Inclusiveness
Transparency
Accountability