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The Ethics of AI
Dealing with difficult choices
in a non-binary world
Eric Reiss
@elreiss
ML Conference
June 18, 2019
Munich, Germany
Disclaimer
Absolutely no attempt has been made
to make this presentation politically correct.
No animals were harmed during the production
of this PowerPoint (even though I tried).
Made entirely of recycled electrons.
Disclaimer #2
If you’ve heard this all before, my apologies.
If you’ve ignored these issues, step up and take a stand.
What are “ethics”?
What are “morals”?
“Morals” “Ethics”
“The beliefs I
have accepted.”
“How I practice
these beliefs.”
“Thou shalt not kill.”
Internal External
And who is teaching AI its moral values?
Johann and his iPhone
Johann and the lost letter
Johann, Albert, and Clara
(and Leo)
Clara
1983 - 2019
• It’s not just “1” and “0”
• Or right and wrong
• Or “yes” and “no”
• Or “black” and “white”
The world is grey and difficult. Learn to live with it.
The world isn’t binary
“Do no evil”
“Make money”
“Make money”
“Do no evil”
“Make money”
“Keep the government off our back”
Eric, stop bashing Google!
Scarcity
Social validation
Fear of loss
The Oppenheimer Effect
“Morals” “Ethics”
“The beliefs I
have accepted.”
“How I practice
these beliefs.”
Small compromises can add up to big issues!
http://moralmachine.mit.edu/
• Privacy
• Security
• Intellectual property rights
plus
• Diversity
• Inclusion
• Harassment
Key ethical issues today
• Is this right?
• Is this respectful?
• Is this responsible?
• Is this fair?
• Is this legal?
Questions we need to ask
1. Manipulating the research
2. Faking the content
3. Promoting addiction
4. Dark patterns
5. Faking communities of thought
6. Offensive AI
7. AI theatre
Seven deadly sins
• Monitor your database (more in a moment)
• Watch out for personal or political agendas
• Think about your own moral and ethical responsibility
• Call bullshit when you see it!
What you can do
• Being principled is challenging
• There are consequences to your actions
• Be gentle if you can
• The greater the ethical violation, the harder
you need to push
• Sometimes, it’s good to get fired
Some thoughts on “calling bullshit”
Garbage in, garbage out
Machine: “Squirrel” = “Rooster”
• Validate your assumptions
• Test your prototypes, apps, and existing sites
with real users
• Mine the existing data for genuine insights
• Check for cultural bias
– Racist, religious, and sexist discrimination
• Train your algorithm with unbiased data
• Monitor your AI bot regularly
What you can do
Clive K. Lavery | “Being a Digital Do-gooder”| 27 September, 2016
Clive K. Lavery | “Being a Digital Do-gooder”| 27 September, 2016
"There is no reason for
any individual to have
a computer in his home."
Ken Olsen
Founder, Digital Equipment Corp.
1977
But that was then…
TRS-80
1977
Apple II
1977
With power comes responsibility…
The Copenhagen Letter
Today, over 5,400 people have signed.
These aren’t merely Facebook likes.
These signatures represent a commitment.
https://copenhagenletter.org/
Join us!
There really is only one question
you need to ask yourself:
Would I want my family
to use what I am making?
Danke!
The FatDUX Group ApS
Strandøre 15
2100 Copenhagen
Denmark
Office: (+45) 39 29 07 07
Mobil: (+45) 20 12 88 44
Twitter: @elreiss
er@fatdux.com
www.fatdux.com
Eric Reiss can (usually) be found at:

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The Ethics of AI – dealing with difficult choices in a non-binary world