I had a pleasure to teach conversation design at Lviv Data Science Summer School. We’ve discussed architectural approaches, covered semantic funnels and goal-oriented conversations. This presentation was used as a support material and I decided to share it with a wider audience. There are multiple articles introducing chatbots as a concept, including the main architectural principles behind. I’m not going to talk about them here, but rather I am presenting the anatomy of conversation and useful resources to get started with design and development: links to platforms, dialog engines, prototyping tools, connectors, intent recognition, and conversation analytics tools.
2. Mybackground
• Applied Physics
• 10+ years in HCI, UX
• ML & Neuroscience
• Ex Microsoft, Continuum Design
• Founder Open Ethics initiative
• Building AI coach to help people
live and work better, together.
https://pocketconfidant.com
11. Meaning
estimate the mean of a
normally distributed
population in situations
where the sample size
is small and population
standard deviation is
unknown
Real object
18. DataisthenewElectricity
IDC - 2017, 451 Research - 2017
10x 50x $138bn 75%
growth in
worldwide data by
2025
~163ZB (IDC)
growth in analyzable
data by 2025
~ 5.2ZB (IDC)
market
opportunity for
data by 2021 (451R)
of enterprises
will use AI
(IDC)
Nikita Lukianets @nikiluk
Quantitative Ethics - governance and ethics of AI decisions
21. 50%
Report of the McKinsey Global Institute - January 2017
McKinsey analysts estimate this is
the share of activities workers are
paid to do now that could be
automated using currently available
technologies by 2055. [accounting for
$15 trillion in wages]
Nikita Lukianets @nikiluk
Quantitative Ethics - governance and ethics of AI decisions
23. Today:skillsandoccupations
PEW Research, The State of American Jobs - 2016
Employment growth is more
rapid in occupations requiring
higher social or analytical skills.
83
77
18
Analytical skills
Social skills
Physical skills
Nikita Lukianets @nikiluk
Quantitative Ethics - governance and ethics of AI decisions
25. Nikita Lukianets @nikiluk
Quantitative Ethics - governance and ethics of AI decisions
Tomorrow:lessonsfromhistory
Technology drives the
creation of many
more jobs than it
destroys over time,
mainly outside the
industry itself.
Example of personal
computers
Created: 19M
Destroyed: 3M
Net Jobs: 16M
Personal Computers 1970-2015 - IPUMS USA 2017; US Bureau of Labor Statistics
1%
3%
19%
77%
Direct: Equipment
manufacturing
Indirect: Suppliers
Enabled: Software and
services
Users: Utilizing
industries
26. Whatskillsarerequiredtomorrow?
Does it mean that in the Age of
AI we will see much higher
relative growth for social
skills?
Analytical skills
Social skills
Physical skills
Nikita Lukianets @nikiluk
Quantitative Ethics - governance and ethics of AI decisions
27. Bots… and the decision
making
Nikita Lukianets @nikiluk
Quantitative Ethics - governance and ethics of AI decisions
30. 2 main pillars of intelligence…
1.Perceive
environment
2.Acttosucceed
atagoal,learn
+
Nikita Lukianets @nikiluk
Quantitative Ethics - governance and ethics of AI decisions
43. Questions
• Where the user is
coming from?
• How can we learn
about his state?
• What are the markers
of his behaviors?
• What are the task
completion criteria?
wide
deep
Where is the context?
How close am I to the goal?
49. Persona:Marianne
A persona is a fictional character
that can be used to understand
your target audience, but most
importantly, to be able to make
quick, but well informed,
decisions in your
design/marketing/sales
processes.
It is NOT “A demographic”
50. Persona
Narrative: Identity, a day in life…
Environment: demographics, background…
Drivers of behavior: motivations, goals, wants…
Pains: what hurts, frustrates…
79. Thank you
About Nikita Lukianets
My passion is Human-Computer interaction
and I am inspired by working with people and
helping organizations to bring meaning to what
they do through design and technology. I’d love
to connect.
Feel free to contact me.