How can designers improve trust of cognitive systems? What can we do to make these systems transparent? What information needs to be transparent? The biggest challenges inherent with AI will be discussed, specifically the ethical conflicts and the implications for your work, along with the basics of these concepts so that you can distinguish between simply smart systems and AI.
Presented at the World World Usability Day 2018 celebration in Cleveland, Ohio.
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Designing Trustable AI Experiences at World Usability Day in Cleveland
1. Designing Trustable
AI Experiences
Carol Smith @carologic
World Usability Day, Cleveland, Ohio November 8, 2018
This work is licensed under a Creative
Commons Attribution-NonCommercial
4.0 International License except where
noted otherwise.
8. Designing AI for Humanity / @carologic
Writer made data/content
ā¢ Creates backstories and scripts
ā¢ Environmental design
ā¢ Data: Who, what, how,
and when of experience
9. Designing AI for Humanity / @carologic
Why should we care?
ā¢ What are his biasā?
ā¢ How did this affect the experience?
ā¢ Does it matter?
17. Designing AI for Humanity / @carologic
To engender trust, provide transparency
ā¢ Data
ā¢ Training/programming of system
ā¢ Rationale/bias/logic
19. AI is present when computers/machines
ā Exhibit intelligence
ā Perceive their environment
ā Take actions/make decision
to maximize chance of success at a goal
Our Road to Self-Driving Vehicles | Uber ATG
https://youtu.be/27OuOCeZmwI
20. Designing AI for Humanity / @carologic
AI/Cognitive computers are
ā¢ Algorithms
ā¢ Know ONLY what you teach
ā¢ Control ONLY what given control of
ā¢ Aware of nuances and can continue to learn
22. Designing AI for Humanity / @carologic
Taxonomies and Ontologies coming to life
(NOT like humans learn)
Photo: https://commons.wikimedia.org/wiki/File:Baby_Boy_Oliver.jpg
24. Designing AI for Humanity / @carologic
Zombie AI
ā¢ āNo awareness or
understanding, there
can be no
accountability, nor hope
for progress.ā
ā Dan Rotelli
Make sure youāre not investing in zombie AI. By Dan Rotelli, Grooper, November 3, 2018
https://venturebeat.com/2018/11/03/make-sure-youre-not-investing-in-zombie-ai/
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Like Any Good Design
ā¢ Understand problem deeply
ā¢ Build right AI system
ā¢ Different problems require different systems
31. Designing AI for Humanity / @carologic
Who will use the system and why?
ā¢ What are their goals?
ā¢ What problems are they trying to solve?
ā¢ Are they working independently?
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What do users need to know?
What
changed?
What are
outliers?What comes
next?
What is
unexpected?
What is
new?
How can I tell
what changed?
Increase/decrease
in frequency?
Are my assumptions
validated?
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Anticipate changes with AI system
ā¢ Scope/intention?
ā¢ Improvements?
ā¢ Better or faster?
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Unintended consequences?
ā¢ Understand userās fears
ā¢ Address them to protect users
36. Designing AI for Humanity / @carologic
Data Source
ā¢ In existence?
ā¢ Available?
ā¢ High quantity?
ā¢ High quality?
Photo by sunlightfoundation
https://www.flickr.com/photos/sunlightfoundation/2385174105
37. Designing AI for Humanity / @carologic
Number Five āNeeds Inputā
Short Circuit (1986 film)
Ally Sheedy and Number Five (Tim Blaney)
https://en.wikipedia.org/wiki/Short_Circuit_(1986_film)
38. Designing AI for Humanity / @carologic
Curation
ā¢ Source and Bias?
ā¢ Who is creating/curating collection?
ā Respected experts
ā Diverse
41. āWe often have
no way of knowing
when and why people
are biased.ā
- Sandra Wachter
Q&A: Should artificial intelligence be legally required to explain itself?
By Matthew Hutson, May. 31, 2017. Interview with Sandra Wachter, data ethics researcher at Univ. of Oxford and Alan Turing Institute.
http://www.sciencemag.org/news/2017/05/qa-should-artificial-intelligence-be-legally-required-explain-itself
42. Humans teach what we feel is importantā¦ teach them to share our values.
Grady Booch, Scientist, philosopher, IBMāer https://www.ted.com/talks/grady_booch_don_t_fear_superintelligence
43. Designing AI for Humanity / @carologic
Ready for Use
ā¢ Experts review results
44. Designing AI for Humanity / @carologic
Data source
ā¢ Few techs
ā Detailed, digital notes
ā Prefer using chemicals
ā¢ Most techs
ā Rough written notes
ā Prefer āall naturalā
treatments
Neither are wrong.
Limited data created a bias.
45. Designing AI for Humanity / @carologic
Humans required to teach and monitor AI
ā¢ Water
ā¢ Prune/Shape
ā¢ Cull
48. Designing AI for Humanity / @carologic
Experts to train system
ā¢ Vetting?
ā¢ Availability?
ā¢ Process?
ā¢ Maintain quality?
49. Accuracy
Youāre cloning
a colleague
no-bake cookies photo by Melissa Hillier - recipe blogged at jonahbonah.com
https://www.flickr.com/photos/77423179@N02/7848109610/in/photolist-cXvByE-x51nF-218WBFr-Z78P3y-6HKkBs-MMkWFT-6wKNxR-7jmLft-6kDRm3-6kDSsN-6kDUvY-6wRRoV-7cYgGN-6kEnjs-6kEaKh-3kHP9P-6kEo6N-6kEAg9-giXGrA-N67c4-5X mXw1-
cgk3ow-6kzJog-6kA5oZ-aYqEpT-MMkVVV-7aQLnM-ecL6fm-6kEd67-5ykEkC-2bsTnp3-dCh7J9-T4tu4i-8HdYNJ-73SMVr-6uwEGT-6kE34b-MMkEqr-6kEFws-6kEjVu-25rwHBc-6kA42g-6kzTi4-T36Moj-7Bx3rf-7vPVhb-6YNEHC-amariC-neddpV-ZNpJHE
50. Designing AI for Humanity / @carologic
Priority of accuracy across industries
Higher Priority
90-99%+
Lower Priority
60-89% accuracy is acceptable
Financial
Ecommerce
51. Designing AI for Humanity / @carologic
Responsible,
Intentional
Design
http://www.flickr.com/photos/rockyvi/6451635085/sizes/m/in/photolist-aQ7jkF/
Some rights reserved by Rocky VI - http://www.flickr.com/photos/rockyvi/
License: http://creativecommons.org/licenses/by-nc-nd/2.0/
52. Designing AI for Humanity / @carologic
Make it your business to keep people safe
ā¢ Monitor system
ā¢ Identify warning signs
53. Designing AI for Humanity / @carologic
Privacy
ā¢ What must a user reveal?
ā¢ Who owns the data?
ā¢ Life expectancy of data?
PAPA (Privacy, Accuracy, Property, Accessibility)
Ethical Issues in IS by Richard Mason.
https://www.gdrc.org/info-design/4-ethics.html
54. Designing AI for Humanity / @carologic
Plan for unintended consequences
ā¢ Scenarios ā not every one
ā¢ Focus on worst situations:
ā What happens when it becomes a Nazi?
ā What happens when it does XYZ?
55. Designing AI for Humanity / @carologic
What will you do?
ā¢ Method for turning it off?
ā¢ Who notified?
ā¢ Unintended
consequences
of turning off?
Googleās new tensor processing units:
https://www.nytimes.com/2018/02/12/technology/google-artificial-intelligence-chips.html
56. Designing AI for Humanity / @carologic
Secure back doors and brakes
ā¢ āIf itās not usable, itās not secure.ā
ā Jared Spool, IAS17
ā¢ āEnsure humans can unplug the machinesā
ā Grady Booch, Ted Talk
Unintuitive and Insecure: Fixing the Failures of Authentication, Jared Spool, IA Summit 2017
Grady Booch, Scientist, philosopher, IBMāer
https://www.ted.com/talks/grady_booch_don_t_fear_superintelligence
57. Donāt be ableist
How People with Disabilities Use the Web: Overview https://www.w3.org/WAI/intro/people-use-web /
58. Designing AI for Humanity / @carologic
Communicating
About
The System
Strong Bad Email #45 ā Techno - Strong Bad makes a techno song.
https://youtu.be/JwZwkk7q25I Homestarrunnerdotcom Published on Mar 31, 2009
59. Designing AI for Humanity / @carologic
Communicate Responsibly
ā¢ How is communication about the AI handled?
ā¢ How do you report issues?
ā¢ To whom?
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Potential Bias
ā¢ Show awareness
ā¢ Acknowledge issues
ā¢ Overcommunicate
61. Designing AI for Humanity / @carologic
To engender trust, provide transparency
ā¢ Who made the data?
ā¢ Who trained/programmed the system?
ā When updated?
ā¢ Why system providing data it is?
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Displaying and comparing information
ā¢ AI generated content vs. other
ā¢ Confidence
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Crowdsourcing Quality
ā¢ Show examples
ā Potential signs of building bias
ā¢ How can a user report?
67. Trolley Problem
Trolley Car 36, Rockford, Illinois https://www.rockfordparkdistrict.org/trolley
Does the Trolley Problem Have a Problem? What if your answer to an absurd hypothetical question had no bearing on how you behaved in real life?
By Daniel Engber. Slate.com. June 18, 2018. Image of anxious hypothetical trolley car lever operator by Lisa Larson-Walker
https://slate.com/technology/2018/06/psychologys-trolley-problem-might-have-a-problem.html
69. Designing AI for Humanity / @carologic
Create a code of conduct/ethics
ā¢ What do you value?
ā¢ How helping people?
ā¢ What lines wonāt your
AI cross?
ā¢ How will you track your
progress?
Inspired by ā3 guiding principles for ethical AI, from IBM CEO Ginni Romettyā
by Alison DeNisco. January 17, 2017, Tech Republic
http://www.techrepublic.com/article/3-guiding-principles-for-ethical-ai-from-ibm-ceo-ginni-rometty/
70. Designing AI for Humanity / @carologic
Guidance
ā¢ UXPA Code
of professional
conduct
ACM Code of Ethics
and Professional
Conduct
71. Designing AI for Humanity / @carologic
Take Responsibility
ā¢ Humans in control
ā¢ Support humans
ā Social consequences
ā Job displacement
How to Keep Your AI from Turning into a Racist Monster
By Megan Garcia. https://www.wired.com/2017/02/keep-ai-turning-racist-monster/
72. Designing AI for Humanity / @carologic
Hire/work with people affected by bias
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Explore AI - Donāt fear AI
ā¢ Try out tools (appendix and notes)
ā¢ Pair with others
ā¢ Teach others about AI
74. Designing AI for Humanity / @carologic
Create ethical, transparent and fair AI
ā¢ Intentional design
ā¢ Less-biased content
ā¢ Communicate
responsibly about AI
Toward ethical, transparent and fair AI/ML: a critical reading list
By Eirini Malliaraki, Feb 19 via tweet from @robmccargow https://medium.com/@eirinimalliaraki/toward-ethical-
transparent-and-fair-ai-ml-a-critical-reading-list-d950e70a70ea
75. Designing AI for Humanity / @carologic
Continue the conversationā¦
LinkedIn ā CarolJSmith
Twitter - @Carologic
Slideshare ā carologic
76. Designing AI for Humanity / @carologic
Appendix
Additional Information and Resources
77. Designing AI for Humanity / @carologic
Barriers to Data
ā¢ Literacy and awareness
ā¢ Connection to internet ā economics and location.
ā¢ Access to pertinent data
ā¢ Fear of AI
Ethical Issues in IS by Richard Mason
https://www.gdrc.org/info-design/4-ethics.html
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Types
of
Machine Learning
79. Designing AI for Humanity / @carologic
Supervised Learning
ā¢ Specialists involved in content creation and training
ā¢ Programmer and/or GUI
ā¢ Most common
Artificial Intelligence Demystified by. Rahul December 23, 2016. Analytics Vidhya
https://www.analyticsvidhya.com/blog/2016/12/artificial-intelligence-demystified/
80. Designing AI for Humanity / @carologic
Annotating Content
Image created by Angela Swindell, Visual Designer, IBM
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Supervised Machine Learning - GUI
Watson Knowledge Studio, Supervised Machine Learning:
https://www.ibm.com/us-en/marketplace/supervised-machine-learning
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Types of Machine Learning
ā¢ Unsupervised learning
ā Machine defines patterns
ā¢ Reinforced learning
ā Games ā rules and rewards
Artificial Intelligence Demystified by Rahul
rahul@upxacademy.com December 23, 2016. Analytics Vidhya
https://www.analyticsvidhya.com/blog/2016/12/artificial-intelligence-demystified/
83. Designing AI for Humanity / @carologic
Pattern recognition
ā¢ Natural Language
Processing
ā¢ Image Analysis
IBM Watson https://twitter.com/IBMWatson/status/844545761740292096
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Deep Learning
ā¢ Classify objects based
on features
ā¢ Can be applied
to other types of AI
Toward ethical, transparent and fair AI/ML: a critical reading list
By Eirini Malliaraki, Feb 19 via tweet from @robmccargow https://medium.com/@eirinimalliaraki/toward-ethical-
transparent-and-fair-ai-ml-a-critical-reading-list-d950e70a70ea
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AI Tools
ā¢ A list of artificial intelligence tools you can use todayāāāfor businesses, by Liam
Hanel, July 11, 2017 on Lyr.AI
https://lyr.ai/a-list-of-artificial-intelligence-tools-you-can-use-today%E2%80%8A-
%E2%80%8Afor-businesses/ and https://medium.com/imlyra/a-list-of-artificial-
intelligence-tools-you-can-use-today-for-personal-use-1-3-7f1b60b6c94f
ā¢ Best AI and machine learning tools for developers, By Christina Mercer, Sep 26,
2017 in Techworld from IDG https://www.techworld.com/picture-gallery/apps-
wearables/best-ai-machine-learning-tools-for-developers-3657996/
ā¢ 15 Top Open Source Artificial Intelligence Tools by Cynthia Harvey, September
12, 2016 on Datamation https://www.datamation.com/open-source/slideshows/15-
top-open-source-artificial-intelligence-tools.html
ā¢ IBM Watson Developer Tools (free trials):
https://console.ng.bluemix.net/catalog/?category=watson
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Want to Know More?
ā¢ The Rise Of Artificial Intelligence As A Service In The Public
Cloud
Rise Of Artificial Intelligence As A Service In The Public Cloud by Janakiram MSV , Forbes Article:
https://www.forbes.com/sites/janakirammsv/2018/02/22/the-rise-of-artificial-intelligence-as-a-service-in-the-public-cloud/#11aa85a8198e
Courses at http://www.fast.ai/
87. Designing AI for Humanity / @carologic
10 Major Milestones in the History of AI
https://www.analyticsvidhya.com/blog/2016/12/artificial-intelligence-demystified/
88. Designing AI for Humanity / @carologic
Resources
ā¢ AIā āNowā ā2017ā āReport, New York University, and AI Now
https://assets.ctfassets.net/8wprhhvnpfc0/1A9c3ZTCZa2KEYM64Wsc2a/8636557c5fb14f2b74b2be64c3ce0c
78/_AI_Now_Institute_2017_Report_.pdf
ā¢ āHow IBM is Competing with Google in AI.ā The Information. https://www.theinformation.com/how-ibm-is-
competing-with-google-in-ai?eu=2zIDMNYNjDp7KqL4YqAXXA
ā¢ āThe business case for augmented intelligenceā https://medium.com/cognitivebusiness/the-business-case-for-
augmented-intelligence-36afa64cd675
ā¢ āComparison of machine learning methods applied to birdsong element classificationā by David Nicholson.
Proceedings of the 15th Python in Science Conference (SCIPY 2016).
http://conference.scipy.org/proceedings/scipy2016/pdfs/david_nicholson.pdf
ā¢ āStaplesā āEasy Buttonā Comes to Life with IBM Watsonā in Business Wire, October 25, 2016.
http://www.businesswire.com/news/home/20161025006273/en/Staples%E2%80%99-%E2%80%9CEasy-
Button%E2%80%9D-Life-IBM-Watson
ā¢ āHow Staples Is Making Its Easy Button Even Easier With A.I.ā by Chris Cancialosi, Forbes.
https://www.forbes.com/sites/chriscancialosi/2016/12/13/how-staples-is-making-its-easy-button-even-easier-
with-a-i/#4ae66e8359ef
ā¢ āInside Intel: The Race for Faster Machine Learningā
89. Designing AI for Humanity / @carologic
More Resources
ā¢ āUpdate: Why this weekās man-versus-machine Go match doesnāt matter (and what does)ā by Dana
Mackenzie. Science Magazine. Mar. 15, 2016 http://www.sciencemag.org/news/2016/03/update-why-week-s-
man-versus-machine-go-match-doesn-t-matter-and-what-does
ā¢ āFor IBMās CTO for Watson, not a lot of value in replicating the human mind in a computer.ā by Frederic
Lardinois (@fredericl), TechCrunch, Posted Feb 27, 2017. https://techcrunch.com/2017/02/27/for-ibms-cto-
for-watson-not-a-lot-of-value-in-replicating-the-human-mind-in-a-computer/
ā¢ āGoogle and IBM: We Want Artificial Intelligence to Help You, Not Replace Youā Most Powerful Women by
Michelle Toh. Mar 02, 2017. Fortune. http://fortune.com/2017/03/02/google-ibm-artificial-intelligence/
ā¢ āFacebook scales back AI flagship after chatbots hit 70% f-AI-lure rate - 'The limitations of automationāā by
Andrew Orlowski. Feb 22, 2017. The Register https://www.theregister.co.uk/2017/02/22/facebook_ai_fail/
ā¢ āMicrosoft is deleting its AI chatbot's incredibly racist tweetsā by Rob Price. Mar. 24, 2016. Business Insider
UK. http://www.businessinsider.com/microsoft-deletes-racist-genocidal-tweets-from-ai-chatbot-tay-2016-3
Special Thanks: Soundtrack to 'Run Lola Run', 1998 German thriller film written and directed by Tom Tykwer,
and starring Franka Potente as Lola and Moritz Bleibtreu as Manni. Soundtrack by Tykwer, Johnny Klimek, and
Reinhold Heil
90. Designing AI for Humanity / @carologic
Even More Resources
ā¢ āIBMās Automated Radiologist Can Read Images and Medical Recordsā by Tom Simonite, February 4, 2016.
Intelligent Machines, MIT Technology Review. https://www.technologyreview.com/s/600706/ibms-automated-
radiologist-can-read-images-and-medical-records/
ā¢ āThe IBM, Salesforce AI Mash-Up Could Be a Stroke of Geniusā by Adam Lashinsky, Mar 07, 2017. Fortune.
http://fortune.com/2017/03/07/data-sheet-ibm-salesforce/
ā¢ "Google can now tell you're not a robot with just one click" by Andy Greenberg. Dec. 3, 2014. Security: Wired.
https://www.wired.com/2014/12/google-one-click-recaptcha/
ā¢ āEssentials of Machine Learning Algorithms (with Python and R Codes)ā by Sunil Ray, August 10, 2015.
Analytics Vidhya. https://www.analyticsvidhya.com/blog/2015/08/common-machine-learning-algorithms/
ā¢ IBM on Machine Learning https://www.ibm.com/analytics/us/en/technology/machine-learning/
ā¢ āAt Davos, IBM CEO Ginni Rometty Downplays Fears of a Robot Takeoverā by Claire Zillman, Jan 18, 2017.
Fortune. http://fortune.com/2017/01/18/ibm-ceo-ginni-rometty-ai-davos/
ā¢ āGoogle and IBM: We Want Artificial Intelligence to Help You, Not Replace Youā by Michelle Toh. Mar 02,
2017. Fortune. http://fortune.com/2017/03/02/google-ibm-artificial-intelligence/
91. Designing AI for Humanity / @carologic
Yes, even more resources
ā¢ Video: āIBM Watson Knowledge Studio: Teach Watson about your unstructured dataā
https://www.youtube.com/watch?v=caIdJjtvX1s&t=6s
ā¢ āThe optimistās guide to the robot apocalypseā by Sarah Kessler, @sarahfkessler. March 09, 2017. QZ.
https://qz.com/904285/the-optimists-guide-to-the-robot-apocalypse/
ā¢ āAI Influencers 2017: Top 30 people in AI you should follow on Twitter" by Trips Reddy @tripsy, Senior
Content Manager, IBM Watson . February 10, 2017 https://www.ibm.com/blogs/watson/2017/02/ai-
influencers-2017-top-25-people-ai-follow-twitter/
ā¢ ā3 guiding principles for ethical AI, from IBM CEO Ginni Romettyā by Alison DeNisco. January 17, 2017, Tech
Republic http://www.techrepublic.com/article/3-guiding-principles-for-ethical-ai-from-ibm-ceo-ginni-rometty/
ā¢ "Transparency and Trust in the Cognitive Era" January 17, 2017 Written by: IBM THINK Blog
https://www.ibm.com/blogs/think/2017/01/ibm-cognitive-principles/
ā¢ "Ethics and Artificial Intelligence: The Moral Compass of a Machineā by Kris Hammond, April 13, 2016.
Recode. http://www.recode.net/2016/4/13/11644890/ethics-and-artificial-intelligence-the-moral-compass-of-a-
machine
92. Designing AI for Humanity / @carologic
Last bit: I promise
ā¢ "The importance of human innovation in A.I. ethics" by John C. Havens. Oct. 03, 2015
http://mashable.com/2015/10/03/ethics-artificial-intelligence/#yljsShvAFsqy
ā¢ "Me, Myself and AI" Fjordnet Limited 2017 - Accenture Digital.
https://trends.fjordnet.com/trends/me-myself-ai
ā¢ "Testing AI concepts in user research" By Chris Butler, Mar 2, 2017. https://uxdesign.cc/testing-ai-
concepts-in-user-research-b742a9a92e55#.58jtc7nzo
ā¢ "CMU prof says computers that can 'see' soon will permeate our livesā by Aaron Aupperlee. March
16, 2017. http://triblive.com/news/adminpage/12080408-74/cmu-prof-says-computers-that-can-
see-soon-will-permeate-our-lives
ā¢ āThe business case for augmented intelligenceā by Nancy Pearson, VP Marketing, IBM Cognitive.
https://medium.com/cognitivebusiness/the-business-case-for-augmented-intelligence-
36afa64cd675#.qqzvunakw
93. Designing AI for Humanity / @carologic
Definition: Artificial Intelligence
ā¢ Artificial intelligence (AI) is intelligence exhibited by machines.
ā¢ In computer science, an ideal "intelligent" machine is a flexible rational agent that
perceives its environment and takes actions that maximize its chance of success
at some goal.[1] Colloquially, the term "artificial intelligence" is applied when a
machine mimics "cognitive" functions that humans associate with other human
minds, such as "learning" and "problem solving".[2]
ā¢ Capabilities currently classified as AI include successfully understanding human
speech,[4] competing at a high level in strategic game systems (such as Chess
and Go[5]), self-driving cars, and interpreting complex data.
Wikipedia: https://en.wikipedia.org/wiki/Artificial_intelligence#cite_note-Intelligent_agents-1
94. Designing AI for Humanity / @carologic
Definition: The Singularity
ā¢ If research into Strong AI produced sufficiently intelligent software, it might be able to reprogram
and improve itself. The improved software would be even better at improving itself, leading to
recursive self-improvement.[245] The new intelligence could thus increase exponentially and
dramatically surpass humans. Science fiction writer Vernor Vinge named this scenario
"singularity".[246] Technological singularity is when accelerating progress in technologies will
cause a runaway effect wherein artificial intelligence will exceed human intellectual capacity and
control, thus radically changing or even ending civilization. Because the capabilities of such an
intelligence may be impossible to comprehend, the technological singularity is an occurrence
beyond which events are unpredictable or even unfathomable.[246]
ā¢ Ray Kurzweil has used Moore's law (which describes the relentless exponential improvement in
digital technology) to calculate that desktop computers will have the same processing power as
human brains by the year 2029, and predicts that the singularity will occur in 2045.[246]
Wikipedia: https://en.wikipedia.org/wiki/Artificial_intelligence#cite_note-Intelligent_agents-1
95. Designing AI for Humanity / @carologic
Definition: Machine Learning
ā¢ Ability for system to take basic knowledge (does not mean simple or non-complex)
and apply that knowledge to new data
ā¢ Raises ability to discover new information. Find unknowns in data.
ā¢ https://en.wikipedia.org/wiki/Machine_learning
More Definitions:
ā¢ Algorithm: a process or set of rules to be followed in calculations or other problem-
solving operations, especially by a computer.
https://en.wikipedia.org/wiki/Algorithm
ā¢ Natural Language Processing (NLP):
https://en.wikipedia.org/wiki/Natural_language_processing