Die fortgeschrittene Digitalisierung – insbesondere der zunehmende Einsatz von Künstlicher Intelligenz (KI) - wird das Arbeiten in Organisationen tiefgreifend verändern. In diesem Kontext sind auch neuartige Kompetenzen für Führungskräfte gefordert. Artistic Intelligence etwa spielt dabei eine besondere Rolle. In diesem Workshop wird die fortgeschrittene Digitalisierung kurz illustriert. Im Zentrum stehen die Diskussion der Kernkompetenzen von Führungskräften im Zeitalter der KI und die Frage, wie diese entwickelt werden können.

1. Kritische Führungskompetenzen im
Zeitalter der Künstlichen Intelligenz
Dr. Karin Vey,
Executive Innovation Consultant
ThinkLab, IBM Research
vey@zurich.ibm.com

2. The next revolution is to augment human cognition
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3. Data is growing exponentially and demands new approaches
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4. Unstructured data — “dark
data” — accounts for 80% of
all data generated today.
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5. Cognitive computing uses all types of data
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Own data
• Customer records
• Transactional systems
• Predictive models
• Institutional expertise
• Operational systems
External data
• News
• Events
• Social media
• Weather
• Geospatial information
Arriving data
• Internet of Things (IoT)
• Sensory data
• Images
• Video
Structured and active Unstructured and dark

6. Welcome to the dawn of
the Cognitive Era
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7. Three qualities make a system cognitive, enabling it to augment and
accelerate human performance
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Analyze all types
and sources of data, with context,
at astonishing volume and speed
allowing for natural interaction
Reason
Has the ability to form hypotheses,
make considered arguments, and
prioritize recommendations to help
humans make better decisions
Learn
Initially trained by experts, the
system continuously ingests and
accumulates data while developing
insight from every interaction
Deeper human engagement
Elevated expertise
Intelligent exploration and discovery
Understand

8. Cognitive Systems: In 2011 Watson made history
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10. Rethinking M&A
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11. Intelligent exploration & discovery
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12. Purpose
– Augment human intelligence, rather than replace it
Transparency & Trust
– When and for what purposes is AI being applied?
– Which sources of data and expertise create an insight?
– Prevent Bias and Misuse: AI systems need to be as
transparent as possible (data sets, algorithms)
– How to embed values?
Economic Opportunity & Societal Implications
– Skills and knowledge to perform the work that
will emerge in a cognitive economy
- Fundamental transformations in the way we live and work
- Legal and governance implications of AI
Economic, Societal and Ethical questions will come to the forefront
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14. Value Judgment
Creativity
Dilemmas
Intuition
Dreaming
Imagination
Abstraction
Empathy
Generalization
Common sense
Critical Thinking
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Deep Learning
Pattern Discovery
Statistical Reasoning
Locating knowledge
Large-scale math
Fact checking
Eliminate bias
Endless capacity
Total recall

15. Future leaders…
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– Know when to trust an algorithm and when to follow one’s intuition
– Manage exceptions: Understand what kind of work to leave with a machine
and concentrate on solving complex problems
– Create goals and visions, and answer the question “What is the world we
want to live in?”
– Create a save environment in which curiosity, creativity, collaboration and
open communication can thrive
– Act as coaches for the team members and become the master of ceremony
for the organization – learning becomes a management task

16. IT Literacy
Future core competencies
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17. Critical
Thinking
Future core competencies
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18. Future core competencies
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Empathy
Active Listening
Humble Inquiry

19. Future core competencies
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AIAI
Artistic Intelligence, of course.

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Cognitive systems are creating a
new partnership between humans
and computers that enhances,
scales and accelerates human
expertise and discovery.

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