1) The document discusses different modes of decision making: thinking, debate, and action. It argues that removing constraints allows better decisions. 2) It also discusses three modes that intelligence systems use: wetware (human) mode, IFTT (rule-based) mode, and machine (automated) mode. In applications these modes are combined. 3) The presentation argues that artificial intelligence should not be constrained but instead allow different modes like human, rule-based, and automated systems to work together for better outcomes.

1. Scaling Intelligence
Art + Science @ Scale
March 5th, 2014
Digital Government Conference
Jason Juma-Ross
Lead Partner, Digital Intelligence
@ideasoc

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An unhelpful debate
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The optimizer’s curse
Source: Smith & Winkler (2006)
Distribution of each
value estimate
Distribution of maximum
value estimates
A decision-maker who
consistently chooses alternatives
based on her estimated values
should expect to be disappointed
on average, even if the individual
value estimates are conditionally
unbiased.

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Removing the constraints

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Linear combination = constraint imposition
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Analysis
PowerPoint
Presentation
Debate
Inaction

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Three modes of decision-making

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Thinking like a fighter pilot
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Sense Orient Decide Act
• Instrumentation
• Sensors
• Direct feedback
Faster, cheaper
• Actuators
• Automated operations
Intelligent Agent
Wetware
IFTT
Machine

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Visualisation: data | wetware
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If this then that: rule based mode
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Machine leaning mode
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WETWAREIFTT MACHINEMACHINE
In real applications, all three modes get combined
Example: social network analysis
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NoSQL
Sentiment
Mining
SQL
CRM
DMP
Dash-
boards

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Artificial intelligence isn’t

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Thank You!
jason.juma-ross@au.pwc.com
@ideasoc
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