Human Creativity vs Machine Creativity

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Autonomous Systems CREATIVITYin Dr. Sarah Shuchi, Postdoctoral Fellow FOSTERING 1

Transcript of Human Creativity vs Machine Creativity

Page 1: Human Creativity vs Machine Creativity

Autonomous Systems CREATIVITYin

Dr. Sarah Shuchi, Postdoctoral Fellow

FOSTERING

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Creativity

Creativity is not just for artists, musicians, writers,

and designers. Creativity enters into virtually every

aspect of life.

‘Ability to genrate ideas or concepts that are novel, valuable and surprising’

P-CREATIVITY Psychologically Creative

H-CREATIVITY Historically Creative

It can be learned, practised and developed by the use

of proven techniques.

Margaret Boden

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and CREATIVITY

Human Thinking Process

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Thinking process

The orginal ‘eureka!’ moment

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Decide What to do

Convergent thinking

Explore possibilities

Divergent thinking

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Logical

Sequential

Analytical

Rational

Objective

Random

Intuitive

Holistic

Synthesizing

Picture: https://www.linkedin.com/pulse/left-brain-vs-right-hr-logical-creative-anya-chupryna

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What makes people Creative? Intelligence

Knowledge

Motivation

Environment

Curi

osity

Inspiration

Challenge Thin

king

out

side

of t

he b

ox

Expertise

latent inhibition

Lear

ning

pro

cess

Socio-cultural

Love of experimentation

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CREATIVITY

Computational

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Computational Creativity A multidisciplinary endeavour that is located at the intersection of the

fields of artificial intelligence, cognitive psychology, philosophy and arts.

Model, Simulate or Replicate creativity using a

computer.

Design a program that can enhance human creativity

without necessarily being creative themselves.

Construct a program or computer capable of human-level

creativity.

Formulate algorithmic perspective on human creative

behaviour.

Goal

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Computational Creativity

Generative art system AARON

Music, Film, Visual Art, TV, aged care, food

IBM - Culinary recipes

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Social robot

Biometric robot MiRo

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What makes Creative Machine?

Data processing

Cognitive thinking Computational ability

Auto

mat

ion

Biomimicry

Self replicate

Neural network

Arti

ficia

l Int

ellig

ence

Algorithm

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Challenges Identified

Fostering richness and subtlety of human thought

Formalisation of creativity in automation

Evaluating creative systems

Cognitive thinking, curiosity and intrinsic motivation

Identify drivers, tools and mechanism

Characterisation and benchmark of creativity

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Thanks For Listening!

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