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Artificial Intelligence: Ethics & Data l Protection in the ... · Artificial Intelligence: Ethics &...
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Artificial Intelligence: Ethics & Data
Protection in the public sector
At the Frontier of AI
Dr. Christian GuttmannVice President, Chief AI and Data Scientist
@ChrisXtg Linkedin - Guttmann
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Current (selected)
Global Head of Artificial Intelligence and Data Science Tieto
Professor (Adj. Assoc.) UNSW Researcher Karolinska Institute Board Member Swedish AI Society Executive Director Nordic Artificial Intelligence Institute
Science/industry leadership
Area leader in Artificial Intelligence in global companies, universities, startups
Over 50 scientific publications, patents, book editions in AI
My AI background
20 yrs dedicated to Artificial Intelligence
PhD in Distributed Artificial Intelligence
Several Bsc and Msc Degrees in Artificial Intelligence and Psychology
Dr. Christian
Guttmann
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Profound
transformations
for society and
economiesEvery person and
business will be
touched by Artificial
Intelligence.
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82%
of executives in the Nordics believe their value chain willchange drastically over the coming years.
Future Perspectives by Tieto 2017
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Artificial Intelligence on a global level
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Significant AI commitments
No physician today should be practicing without AI.
Bernard Tyson, Chairman of Kaiser Permanente
A fintech company's success will depend on the
power of its AI….
Sebastian Siemiatkowski, Klarna CEO
AI is in a golden age
Jeff Bezos, Amazon CEO
…. Jack Ma, Ginni Rometty, …
GovernmentsUSA, Germany, United Arab
Emirates, China, Finland, UK, EU,
France
Most disrusptive technology
15.7tr $ market - 2030
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Overview
What is Artificial Intelligence and
Disruptive potential of AI
Benefits and Trends in AI
State of affairs in AI
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What is Artificial Intelligence?Disruptive potential of AI
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What is human intelligence?
”Cognitive, physical, emotional capabilities requiredto perform tasks and make decisions.”
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Artificial Intelligence (AI)What is AI? “Science & engineering of making intelligent machines.”John McCarthy
• AI is very rich and established discipline with at least 25 sub categories.
• Feasible to apply AI in all industries.
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My preferred worlding:
Artificial Intelligence to
Machine Intelligence
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Artificial Intelligence in the Public Sector
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Artificial
Intelligence
+
Case
Management
RoboticsDrones (disaster)
Elderly homes
Robotic Companion
PerceptionBiometrics data,
Face Recognition,
Case management
Natural LanguageChatbots,
Sentiment Analysis
LearningMachine learning,
“Predictions”
Cognitive Search
Case clustering
Multi Agent
SystemsAutomated
Coordination,
Knowledge exchange
Knowledge
RepresentationMetadata Generation,
Graph Search
Planning
Logic
Reasoning
Social Intelligence
Cognition
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Benefits & Trends in
Artificial Intelligence
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AI solves Tedious Complexities
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Personalisation. Accuracy. Speed. Scalability.
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Focus “predictions”“Predictions” = type of classification
“Machine Learning” = models, observations, algorithms.
Apples = red, round
Oranges = orange, round
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ACCEPTED
APPLICATION
yes/no?
Past and still today
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Trend towards more & more
data, requests, interactions and users
ACCEPTED
APPLICATION
yes/no?
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AI –
Machine Learning
With artificial intelligence –
scalable, accurate, fast, personalised
ACCEPTED
APPLICATION
yes/no?
ACCEPTED
APPLICATION
yes/no?
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Citizen Chatbots
Answering questions anytime, anywhere. Search for the right person to talk to across all government agencies.
Updating the country on what's happening. Stay informed of news and updates. Over time, the AI will learn the most relevant issues requested by citizens.
Examples: Ministry of Communications and Information (MCI), Singapore
Los Angeles Business Assistance Virtual Network (LABAVN)
U.S. Citizenship and Immigration services of Department of Home Land Security
Dubai Electricity&Water Authority (DEWA)
North Carolina government office
New York City – City Services.
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Personalise Interaction with AI
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AI as a ”Helping Hand”
Intelligent Assistence and Augmentation
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Tieto’s AI
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Machine
Vision
IoT
Predictive
Maintenance
Natural
Language
Processing
Object detection; Sensor fusion
Multilanguage document clustering;
Trend extraction from a document flowMachine failure forecasting;
Anomaly detection based
AI @
Healthcare
Care quality analytics;
Patient segmentationsAI @
Banking
Credit scoring, Dynamic pricing
AI Co-
creation
Collaborative A.I. development
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Data Protection, Ethics in
and Artificial Intelligence
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At least two challenges ahead in AI
Regulation, Ethical guidelines, Standards
Example ethics: unavoidable accident situations, any distinction based
on age, gender, physical or mental constitution is strictly prohibited.
Example ISO: Creates first international AI standards
AI competency
Non Trivial understanding of AI and machine learning
Fewer than 10000 experts in the world
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GDPR - Article 22
Automated individual decision-making, including profiling
The data subject shall have the right not to be subject to a decision based solely on automated processing, including profiling, which produces legal effects concerning him or her or similarly significantly affects him or her.
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Tieto’s Artificial Intelligence:
Sustainability & Ethics
• Algorithmic fairness – Ais are creatures of their data.
• Who build the algorithm?• How was data collected?• Degree of sampling (oversampling, undersampling)?• Negative Bias, positive bias?
• Algorithmic transparancy and explainability (here is a million weights…, Darpa)
• Safety & Security (hack a self driving car, adversarial attacks)
• Liability and Accountability. Who is responsible for decision making?
• Sustainable algorithms
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What use AI extensively?
Create better services for citizens?
Save lifes.
Focus on problems that really matter.
Humanize the way we interact with each other.
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Thank YOU!Any question?
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Dr. Christian Guttmann
Global Head of Artificial Intelligence and Data Science, Vice President
© Tieto Corporation - [email protected] – Twitter: @chrisxtg
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International Conference on AI and MLIJCAI - the world’s largest and most prestigious AI conference
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Many
more…
Stockholm, Sweden