Page 13 - Artificial Intellegence_v2.0_Class_11
P. 13
Learning Outcomes
Topics
UNIT AI: Issues, Concerns and Ethical Considerations Knowledge – Ethics, Bias, Impacts of bias on society
AI VALUES (ETHICAL DECISION MAKING) Issues and Concerns around AI Application – Spot issue in data, Make arguments, Apply rules
AI and Ethical Concerns
AI and Bias
AI: Ethics, Bias, and Trust
Employment and AI
Storytelling: communication across the ages Skill – Imagination, mapping the plot into key events increasing
memory retention.
o Learn why storytelling is so powerful and cross-cultural,
and what this means for data storytelling Application- Helping in creating blogs, videos, and other
content.
The Need for Storytelling
Story telling with data
INTRODUCTION TO STORYTELLING Conflict and Resolution
By the numbers: How to tell a great story with your
o
data.
o
Everyone wants to resolve conflict, and a good data
storyteller is there to help!
Storytelling for audience
o
Your data storytelling depends on the background
knowledge of your audience.
o
Insights from storytelling
Make the audience care about the data
o Keep the audience engaged
o Create from the end; present from the beginning
o Start with an anecdote, end with the data
o Build suspense, not surprise
Design thinking framework Skill – Understanding the problem and being able to express the
same
CRITICAL & CREATIVE THINKING o Identifying the problem to solve
Right questioning (5W and 1H)
o
Creativity – To be able to develop/innovate from design a solution
Ideate
o
Types of structured data Knowledge – Types of structured data, statistical principals –
DATA ANALYSIS (COMPUTATIONAL THINKING)
o Date and time frequency tables, mean, median, mode, range, etc.
o String Application – Representing data in terms of graphs, statistical
o Categorical models
Representation of data Synthesis – To be able to represent a simple problem in terms of
Exploring Data (Pattern recognition) numbers
o Cases, variables and levels of measurement
o Data matrix and frequency table
o Graphs and shapes of distributions
o Mode, median and mean
o Range, interquartile range and box plot
o Variance and standard deviation
o Z-scores
o Example
o Practice exercise
(xi)

